JP2006120135A - Advertisement content distribution ratio calculation program, advertisement content distribution ratio calculation method, advertisement content distribution ratio calculation system, content distribution control system, advertisement content distribution control system, advertisement content distribution control method, and advertisement content distribution control program - Google Patents

Abstract

[PROBLEMS] To obtain a stable advertising effect while responding to a change in interest of a user who views advertising content.
The number of times a history information totaling unit 63 of a history information totaling device 60 receives an output request for a predetermined web page from an arbitrary user within a predetermined period, that is, a banner advertisement clicked by an arbitrary user. The number of clicks is counted, and the fixed distribution ratio calculation unit 83, the variable distribution ratio calculation unit 84, and the distribution ratio calculation unit 85 of the advertisement distribution ratio calculation device 80 determine the distribution ratio of each banner advertisement based on the total number of clicks information. By calculating, a distribution ratio based on a general reaction tendency with respect to advertisement contents of various users is calculated.
[Selection] Figure 2

Description

  The present invention relates to an advertisement content distribution ratio calculation program, an advertisement content distribution ratio calculation method, and an advertisement content that calculate a distribution ratio of each advertisement content when a plurality of advertisement contents that accept an output request for a predetermined web page from a user are distributed. A distribution ratio calculation system, a content distribution control system that controls the number of content distribution when content that accepts a user's reaction is distributed, and a case where advertising content that accepts an output request for a predetermined web page from a user is distributed The present invention relates to an advertising content distribution control system, an advertising content distribution control method, and an advertising content distribution control program that control the number of advertising content distributions, and in particular, to obtain a stable advertising effect while responding to changes in the interest of users who view advertising content. But Advertising content distribution ratio calculation program, advertising content distribution ratio calculation method, advertising content distribution ratio calculation system, content distribution control system, and advertising content distribution control system The present invention relates to an advertisement content distribution control method and an advertisement content distribution control program.

  In recent years, with the spread of the Internet, the importance of banner advertisements posted on web pages has increased. When the user clicks the banner advertisement with a mouse or the like, the advertiser's web page linked to the banner advertisement is displayed.

  In addition, in order to enhance the advertising effect by the banner advertisement, targeted attribute distribution is performed in which user attribute information is registered in advance and only the banner advertisement corresponding to the user attribute is selectively distributed. Here, the user attribute information is information such as gender, age, address, occupation, and interest.

  In this targeted distribution, although a banner advertisement corresponding to a user attribute can be distributed to the user, it cannot be confirmed whether or not the distributed banner advertisement is valuable to the user.

  In other words, when a banner advertisement of interest is distributed, the user is likely to click on the banner advertisement. However, in conventional targeting distribution, whether or not the banner advertisement is clicked is confirmed, and the information is displayed. It was not useful for the subsequent advertisement distribution.

  Therefore, in Patent Document 1, information on the number of times the user clicked on the distributed banner advertisement is collected for each user, and the banner advertisement distributed thereafter is matched to the interest of each user based on the information. An advertisement distribution method to be selected is disclosed.

  In general, advertisements are introduced for the purpose of obtaining a “cognitive” effect. Considering the characteristics of the target consumer, if the advertisement customized by the design and appeal content that suits the consumer preference of each product can be introduced, the recognition rate of the product It is predicted that it can be raised.

  Based on such predictions, as a distribution method for enhancing the effectiveness of advertisements on the Internet, many techniques for providing an advertisement distribution system according to attributes such as a user's sex, age, and address have been disclosed ( (See Patent Documents 1 to 5).

  These technologies are: “Accurately grasp user attributes”, “User distribution is clear by attributes”, “User attribute differences and preference differences”, “Multiple It may be effective to some extent in an unrealistic ideal environment, such as “managing commercial advertisements together” or “preparing advertisements with distinctly different designs and appeals”.

  However, in practice (especially on the Internet), an unspecified number of users are confused and distributed, and even users who are classified into the same attribute have very different preferences, and advertisements are usually per product. This is one project, and all the design of advertisements is created by the creators (creators), creating effective creatives, and the number of accessing users is always tens of millions.

  Thus, it can be said that it is difficult to provide an “advertisement distribution system according to user attributes” that is always effective in a complex system such as the Internet from the viewpoint of cost effectiveness.

  On the other hand, although a technique aimed at optimizing the delivery of customized advertisements by a method of finding an optimal solution for the linear model (see Patent Document 6), a stage for preparing a learning system for calculating a display ratio and The method and system for providing customized advertisement selection and distribution over the network is complicated by having the step of periodically updating the display rate by the learning system.

  In addition, the above-mentioned “It is difficult to accurately grasp the user attributes, and even the contacts classified into the same attributes have very different tastes, and the advertisement is usually one product per case. All of the designs of the creators (creators) cut off the surplus and produced effective creatives, and the number of users accessing at the same time is huge. Some systems are suitable.

  That is, an advertisement distribution system that simply prepares a plurality of banner advertisements and sequentially selects a banner advertisement to be distributed based on recording data of a distribution result with the aim of increasing the click-through rate of a user (ie, a consumer). is there. For example, DoubleClick, Inc. A system typified by DART by (Double Click) is a distribution system in which a banner advertisement that records the highest click-through rate is selected from among a plurality of prepared banner advertisements.

  When the consumer “knows” the advertiser ’s product, the design of the banner ad is an important point. Instead of obscuring the effect, simply focus on the design of the banner ad, and then reflect the user's preference at that time (ie, the banner ad that is often chosen) simply to adjust the number of times the banner ad is delivered. The purpose of this is to increase the effect of advertisement distribution at a cost and man-hour that is almost the same as that of a conventional banner advertisement (here, such adjustment is referred to as optimization).

  However, it is considered that the simple optimization method may reduce the effect as a result while seeking to improve the effect of advertisement delivery. The simplest example is to distribute only the banner advertisement that recorded the highest click-through rate in the initial distribution of the advertisement banner in the initial distribution period in the remaining distribution period.

  In this case, there may have been a user whose preference was biased due to some influence during the initial distribution period, and the effect could be reduced by exposing this banner advertisement over the remaining distribution period of the advertisement. High nature. This can be compared to the famous difficulty of statistical mechanics in complex systems. That is, it is a case where it is desired to know an optimum state (for example, a state where energy and cost are minimum) in a complex system.

  The characteristic of complex systems is that there is a local or temporary stability point, which is globally unstable. The most likely mistake here is that the state that seems to be locally stable is optimal (only the banner ad that recorded the highest click-through rate in the initial number of banner ad deliveries will be delivered) (Distribute 100% during the period). This method can be lower than the click-through rate that can be reached over the entire banner advertisement distribution period.

  Therefore, in special situations where the difference between multiple banner ads is clear, or in special situations where the distribution of user attributes is clear, the optimized and non-optimized banner ads Although it may be possible to achieve excellent results such as champion data compared with the advertising group, the more the number of users and the more complicated the system, the more the effect tends to depend on the chance factor. For the main, it would be confusing to apply such an “optimization” option.

  Also, as a problem before confusion, the champion data prepared by the banner ad distributor is walking alone, without being aware of the existence of the problem. In particular, as in today's case, when a banner advertisement is distributed over an Internet network where a large number of users have gathered, it is difficult to achieve the effect.

Japanese Patent Laid-Open No. 2002-236846 JP 2002-27369 A JP 2002-32398 A JP 2002-132822 A JP 2002-203119 A JP 2000-148675 A

  However, in the conventional technology represented by the above-described Patent Document 1, when the user's interest in the banner advertisement changes, the information on the number of clicks collected for each user does not make sense, and it becomes difficult to obtain a stable advertising effect. There was a problem.

  That is, a banner advertisement suitable for the user can be distributed to select a banner advertisement to be distributed according to each user's interest, and the advertising effect is enhanced, but the user's interest in the advertisement is always the same. Since it is not limited, it is necessary to frequently update information on the number of clicks.

  In such a case, for a user who does not click on the banner advertisement so much, it takes time to newly collect information on the number of clicks, and during that time, the advertising effect of the banner advertisement on the user is drastically reduced.

  Therefore, how to prevent the advertisement effect of the banner advertisement from deteriorating and how to obtain a stable advertisement effect while responding to changes in the interest of the user who sees the banner advertisement is an important issue. Come.

  In addition to the above, there is a problem in optimizing existing banner advertisement distribution. In other words, the number of distributions is being determined by paying attention to a parameter called click through rate (CTR). FIG. 17 shows the results when two different banner advertisements, Creative A and Creative B, which are input for the purpose of obtaining a cognitive effect, are delivered to three users, respectively, only by the same page view (Page View, PV). Show. FIG. 17 is a diagram for describing a problem in optimization of advertisement distribution.

  As can be seen from this example, one user out of three responded to Creative A (unique click rate = 33.3%) despite the same delivery volume, and three users responded to Creative B. Since there are two people (unique click rate = 66.7%), it is generally considered that Creative B has a higher cognitive effect.

  However, when the number of click-throughs or the click-through rate is used as a reference, the creative A shows a higher performance than the creative B that has obtained a high cognitive effect, because the total number of clicks by the user is larger. From this result, it can be seen that if the number of times Creative A is distributed is increased, the advertiser loses the chance to obtain the recognition effect of the product.

  In other words, banner ads in interactive media are characterized by the fact that banner advertisement distribution history and the reaction of users who viewed the banner advertisement can be measured and the history can be recorded, which may lead to incorrect results. It is desirable to prevent the loss of the chance to obtain the cognitive effect of the merchandise by optimizing with the unique click rate or the number of unique users instead of the click-through number or click-through rate.

  The present invention was made to solve the above-described problems caused by the prior art, and can achieve a stable advertising effect while responding to changes in the interest of users who view advertising content such as banner advertisements, In addition, an advertising content distribution ratio calculation program, an advertising content distribution ratio calculation method, an advertising content distribution ratio calculation system, a content distribution control system, an advertising content distribution control system, an advertisement, which can prevent the loss of the chance to obtain a product recognition effect It is an object to provide a content distribution control method and an advertisement content distribution control program.

  In order to solve the above-described problems and achieve the object, the present invention provides an advertisement content distribution that calculates a distribution ratio of each advertisement content when a plurality of advertisement contents that accept an output request for a predetermined web page from a user are distributed. A ratio calculation program based on a count counting procedure for counting the number of times an output request for the predetermined web page is received from an arbitrary user within a predetermined period, and information on the count counted by the count counting procedure And a distribution ratio calculation procedure for calculating a distribution ratio of each advertisement content.

  Further, the present invention is the above invention, wherein the distribution ratio calculation procedure includes a first ratio portion in which a ratio of distributing each advertisement content is constant based on the information of the number of times counted by the number of times counting procedure; A distribution ratio including a second ratio portion in which each advertisement content distribution ratio changes with the passage of time is calculated.

  Further, the present invention is characterized in that, in the above-mentioned invention, the distribution ratio calculation procedure calculates the distribution ratio so that the first ratio portion becomes smaller as time elapses from the start of distribution of each advertisement content.

  Also, in the present invention according to the above-mentioned invention, the distribution ratio calculation procedure may be configured such that the second ratio is based on information about the number of times the output request for the predetermined web page is received from an arbitrary user in a plurality of different length periods. A part is calculated.

  Further, the present invention is characterized in that, in the above-mentioned invention, the distribution ratio calculation procedure calculates the distribution ratio for each type of web page on which the distributed advertisement content is posted.

  Also, the present invention is characterized in that, in the above-mentioned invention, the distribution ratio calculation procedure calculates the distribution ratio every predetermined time zone.

  The present invention also provides an advertisement content distribution ratio calculation method for calculating a distribution ratio of each advertisement content when a plurality of advertisement contents that accept an output request for a predetermined web page from a user are distributed. A count counting step of counting the number of times the output request for the predetermined web page is received from an arbitrary user, and a distribution ratio for calculating a distribution ratio of each advertisement content based on the information of the counts counted by the count counting step And a calculating step.

  Further, the present invention is the above invention, wherein the distribution ratio calculation step includes a first ratio portion in which a ratio of distributing each advertisement content is constant based on information on the number of times counted by the number counting step; A distribution ratio including a second ratio portion in which each advertisement content distribution ratio changes with the passage of time is calculated.

  Further, the present invention is characterized in that, in the above invention, the distribution ratio calculation step calculates the distribution ratio so that the first ratio portion becomes smaller as time elapses from the start of distribution of each advertisement content.

  Moreover, the present invention is the above-described invention, wherein the distribution ratio calculating step is configured such that the second ratio is based on information on the number of times that an output request for the predetermined web page is received from an arbitrary user in a plurality of different length periods. A part is calculated.

  In the invention described above, the distribution ratio calculating step calculates the distribution ratio for each type of web page on which the distributed advertisement content is posted.

  Further, the present invention is characterized in that, in the above-mentioned invention, the distribution ratio calculating step calculates the distribution ratio every predetermined time zone.

  The present invention is also an advertisement content distribution ratio calculation device that calculates a distribution ratio of each advertisement content when a plurality of advertisement contents that accept an output request for a predetermined web page from a user are distributed. And a distribution ratio for calculating the distribution ratio of each advertising content based on the information of the number of times counted by the number of times counting means And a calculating means.

  Further, the present invention is the above invention, wherein the distribution ratio calculation means, based on the information of the number of times counted by the number of times counting means, a first ratio portion where the ratio of distributing each advertising content is constant, A distribution ratio including a second ratio portion in which each advertisement content distribution ratio changes with the passage of time is calculated.

  Further, the present invention is characterized in that, in the above-mentioned invention, the distribution ratio calculating means calculates the distribution ratio so that the first ratio portion becomes smaller as time elapses from the start of distribution of each advertisement content.

  Further, the present invention is the above invention, wherein the distribution ratio calculating means is configured to generate a second ratio based on information on the number of times the output request for the predetermined web page is received from an arbitrary user in a plurality of different length periods. A part is calculated.

  Also, the present invention is characterized in that, in the above-mentioned invention, the distribution ratio calculating means calculates the distribution ratio for each type of web page on which the distributed advertisement content is posted.

  Also, the present invention is characterized in that, in the above-mentioned invention, the distribution ratio calculation means calculates the distribution ratio for each predetermined time zone.

  In addition, the present invention is a content distribution control system that controls the number of content distributions when content that accepts a user's reaction is distributed, and the number of times the predetermined reaction is received from any user within a predetermined period Of the contents to be distributed to users of a predetermined characteristic in a set of arbitrary users so as to adjust the total number of predetermined reactions based on the information on the number of times counted by the number counting means And a distribution control means for controlling the number of distributions.

  Also, in the present invention according to the above-mentioned invention, the distribution control unit controls distribution of content distributed to a user having a predetermined characteristic in a set of arbitrary users so that the total number of the predetermined reactions is maximized. It is characterized by that.

  Also, the present invention is the above invention, wherein the number counting means is an arbitrary user generated through operation of an information input device that inputs information to a computer, a mobile phone, or a remote controller that controls functions of a television receiver. The number of times the predetermined reaction is received from an arbitrary user is totaled.

  Further, the present invention is an advertising content distribution control system that controls the number of advertising content distributions when advertising content that accepts an output request for a predetermined web page from a user is distributed, A count counting unit that counts the number of times a web page output request is received from an arbitrary user, and an arbitrary number that adjusts the total number of received web page output requests based on the count information counted by the count counting unit Distribution control means for controlling the number of advertisement contents to be distributed to users having predetermined characteristics in the set of users.

  Also, in the present invention according to the above-mentioned invention, the distribution control means distributes an advertisement distributed to a user having a predetermined characteristic in a set of arbitrary users so that the total number of requests for outputting the predetermined web page is maximized. The content distribution is controlled.

  Further, the present invention is characterized in that, in the above-mentioned invention, the distribution control means controls the number of distributions a plurality of times in accordance with a temporal change of the predetermined characteristic user.

  Further, the present invention is the above invention, wherein the number counting means is performed using an information input device for allowing an arbitrary user to input information to a computer, a mobile phone, or a remote controller for controlling functions of a television receiver. The number of times of accepting output requests for a predetermined web page is totaled.

  Further, the present invention is the above invention, wherein the distribution control means is configured to determine a predetermined number in a set of arbitrary users so as to adjust the total number of requests for output of the predetermined web page made by an arbitrary user by Monte Carlo simulation. It is characterized by controlling the number of advertisement contents to be distributed to users with characteristics.

  Further, the present invention is the above invention, wherein the distribution control means is arranged in a set of arbitrary users so as to adjust a total number of accepting output requests of the predetermined web page made by an arbitrary user through learning using artificial intelligence. The number of advertisement contents distributed to users having predetermined characteristics is controlled.

  Further, the present invention is the above invention, wherein the distribution control means distributes the advertisement content so that the number of distributions of the advertisement content changes according to a temporal change in the output request of the predetermined web page made by a user having the predetermined characteristic. It is characterized by controlling the number.

  Further, the present invention is the above-described invention, wherein the distribution control means changes the number of distributions of the advertising content according to a temporal change in the output request of the predetermined web page made by the user having the predetermined characteristic. And a portion that does not change according to a temporal change in the output request of the predetermined web page made by the user having the predetermined characteristic.

  Further, the present invention is the above invention, wherein the distribution control means is configured to determine the predetermined web page based on a difference in the number of times a plurality of advertisement contents have received an output request for a predetermined web page from a user having the predetermined characteristic. It is characterized by controlling the part of the number of distributions that changes according to the temporal change of the output request.

  Also, in the present invention according to the above invention, the distribution control means may determine a portion of the number of distributions that does not change according to a temporal change in the output request of the predetermined web page based on the number of days related to the distribution of the advertising content. It is characterized by controlling.

  Also, the present invention is characterized in that, in the above-mentioned invention, the distribution control means controls the number of advertisement contents distributed so as to satisfy a predetermined condition relating to the advertisement content distribution cost.

  Also, in the present invention according to the present invention, the distribution control means controls the number of distributions based on information indicating whether or not the number of times to accept an output request for the predetermined web page is saturated. It is characterized by.

  Further, the present invention is characterized in that, in the above-mentioned invention, the distribution control means controls the number of advertisement contents distributed according to the feature of each advertisement content.

  In addition, according to the present invention, in the above invention, the distribution control unit separately determines the number of distributions of cognitive advertising content that allows the user to recognize the presence of something and the number of distributions of acquired advertising content that prompts the user to purchase something. It is characterized by controlling to.

  Moreover, the present invention is characterized in that, in the above-mentioned invention, the distribution control means separately controls the number of distributions for a plurality of different advertising contents having the same appeal content.

  Also, the present invention is characterized in that, in the above-mentioned invention, the distribution control means controls the number of advertisement contents distributed so that the number of output requests of a predetermined web page made by a non-overlapping user is maximized.

  In the present invention, the distribution control means may control the number of advertisement content distribution so that the recognition rate, which is a rate at which the content promoted by the advertisement content is recognized by the user, is maximized. Features.

  Further, the present invention is characterized in that, in the above-mentioned invention, the distribution control means controls the number of advertisement contents distributed based on information related to an advertisement recognition interaction among a plurality of advertisement media.

  Also, the present invention is characterized in that, in the above-mentioned invention, the distribution control means controls the number of distributions based on a predetermined condition relating to the number of distributions of advertisement content.

  Also, the present invention is characterized in that, in the above-mentioned invention, the distribution control means controls the number of distributions based on a predetermined condition relating to a distribution period of advertisement content.

  Further, in the above invention, the present invention is the above-mentioned invention, wherein the distribution control means is an advertisement content to be distributed to a user who is identified as a target for advertising content and a user who is not identified as a target for advertising content. The number of distributions is controlled separately for the advertisement contents distributed to the above.

  Also, in the present invention according to the above-mentioned invention, the distribution control means distributes the advertising content based on the number of times a request for outputting a predetermined web page is received from a user who does not overlap acquisition-type advertising content that prompts the user to purchase something. It is characterized by controlling the number.

  Further, according to the present invention, in the above invention, when the advertisement content is distributed, the distribution control unit acquires information related to a user's reaction to the distributed advertisement content, and the user's reaction is a specific reaction. In this case, the setting relating to the control of the number of distributions of the advertisement content is changed.

  In the present invention, the distribution control means may change the setting related to the control of the number of distributions so as to stop the distribution of the advertisement content when the user's reaction is a specific reaction. Features.

  Further, the present invention is characterized in that, in the above-mentioned invention, the distribution control means controls the number of distributions separately for each advertising content having different appeal contents.

  In addition, according to the present invention, in the above-described invention, the distribution control unit controls the number of advertisement contents distributed based on information related to a predetermined limit value of the number of advertisement contents distribution that the user is negative for browsing the advertisement. It is characterized by doing.

  Further, the present invention is characterized in that, in the above-mentioned invention, the distribution control means controls the number of distributions of the advertising content based on information relating to the user's forgetting about the advertising content.

  Further, the present invention is characterized in that, in the above invention, the distribution control means controls the number of distributions for a single advertisement content.

  The present invention is also an advertising content distribution control method for controlling the number of advertising content distributions when advertising content that accepts an output request for a predetermined web page from a user is distributed, wherein the predetermined content is transmitted within a predetermined period of time. Arbitrarily count the number of times web page output requests are received from any user, and adjust the total number of web page output requests received based on information on the number of times counted in the number counting step And a distribution control step of controlling the number of advertisement contents distributed to users having predetermined characteristics in the set of users.

  Also, in the present invention according to the above-mentioned invention, the distribution control step is an advertisement distributed to a user having a predetermined characteristic in a set of arbitrary users so that the total number of requests for outputting the predetermined web page is maximized. The content distribution is controlled.

  Further, the present invention is characterized in that, in the above-mentioned invention, the distribution control step controls the number of distributions a plurality of times in accordance with a user's temporal change of the predetermined characteristic.

  Also, the present invention is the above invention, wherein the number counting step is performed using an information input device for allowing an arbitrary user to input information to a computer, a mobile phone, or a remote controller for controlling functions of a television receiver. The number of times of accepting output requests for a predetermined web page is totaled.

  Further, the present invention is the above invention, wherein the distribution control step includes a predetermined number in a set of arbitrary users so as to adjust a total number of receiving output requests of the predetermined web page performed by an arbitrary user by Monte Carlo simulation. It is characterized by controlling the number of advertisement contents to be distributed to users with characteristics.

  Further, the present invention is the above invention, wherein the distribution control step is performed in a set of arbitrary users so as to adjust a total number of receiving output requests of the predetermined web page performed by an arbitrary user through learning using artificial intelligence. The number of advertisement contents distributed to users having predetermined characteristics is controlled.

  Also, in the present invention according to the above invention, the distribution control step distributes the advertisement content so that the number of distributions of the advertisement content changes according to a temporal change in the output request of the predetermined web page performed by the user having the predetermined characteristic. It is characterized by controlling the number.

  Further, in the present invention according to the above-mentioned invention, the distribution control step is a portion in which the number of distributions of the advertisement content changes according to a temporal change in the output request of the predetermined web page performed by the user having the predetermined characteristic. And a portion that does not change according to a temporal change in the output request of the predetermined web page made by the user having the predetermined characteristic.

  Further, the present invention is the above invention, wherein the distribution control step is configured to determine the predetermined web page based on a difference in the number of times a plurality of advertisement contents have received an output request for a predetermined web page from a user having the predetermined characteristic. It is characterized by controlling the part of the number of distributions that changes according to the temporal change of the output request.

  Also, in the present invention according to the above-described invention, the distribution control step may include a part of the number of distributions that does not change according to a temporal change in the output request of the predetermined web page based on the number of days related to the distribution of the advertising content. It is characterized by controlling.

  Further, the present invention is characterized in that, in the above-mentioned invention, the distribution control step controls the number of advertisement contents distributed so as to satisfy a predetermined condition relating to a distribution cost of the advertisement contents.

  Also, in the present invention according to the present invention, the distribution control step controls the number of distributions based on information indicating whether or not the number of times to accept an output request for the predetermined web page is saturated. It is characterized by.

  In addition, the present invention is characterized in that, in the above-mentioned invention, the distribution control step controls the number of advertisement contents distributed according to the feature of each advertisement content.

  Further, in the present invention according to the above invention, the distribution control step is configured to separate a number of distributions of cognitive advertising content that allows a user to recognize the presence of a certain item and a number of distributions of acquisition type advertising content that urge the user to purchase a certain item. It is characterized by controlling to.

  Moreover, the present invention is characterized in that, in the above-mentioned invention, the distribution control step separately controls the number of distributions for a plurality of different advertising contents having the same appeal content.

  Also, the present invention is characterized in that, in the above-mentioned invention, the distribution control step controls the number of advertisement contents distributed so that the number of output requests of a predetermined web page made by a non-overlapping user is maximized.

  Also, in the present invention according to the present invention, the distribution control step controls the number of distributions of the advertisement content so that a recognition rate that is a rate at which the content promoted by the advertisement content is recognized by a user is maximized. Features.

  Further, the present invention is characterized in that, in the above-mentioned invention, the distribution control step controls the number of advertisement contents distributed based on information related to an advertisement recognition interaction among a plurality of advertisement media.

  Moreover, the present invention is characterized in that, in the above-mentioned invention, the distribution control step controls the number of distributions based on a predetermined condition relating to the number of distributions of the advertising content.

  Also, the present invention is characterized in that, in the above-mentioned invention, the distribution control step controls the number of distributions based on a predetermined condition relating to a distribution period of the advertising content.

  Also, in the present invention according to the above-described invention, the distribution control step includes: advertising content to be distributed to a user who is specified as a target for advertising content; and a user who is not specified as a target for advertising content The number of distributions is controlled separately for the advertisement contents distributed to the above.

  In addition, according to the present invention, in the above-described invention, the distribution control step distributes the advertisement content based on the number of times an output request for a predetermined web page is received from a user who does not overlap acquisition-type advertisement content that prompts the user to purchase something. It is characterized by controlling the number.

  Further, according to the present invention, in the above invention, when the advertisement content is distributed, the distribution control step acquires information related to a user reaction to the distributed advertisement content, and the user reaction is a specific reaction. In this case, the setting relating to the control of the number of distributions of the advertisement content is changed.

  Further, the present invention is the above invention, wherein the distribution control step changes the setting related to the control of the number of distributions so as to stop the distribution of the advertisement content when the user's reaction is a specific reaction. Features.

  Moreover, the present invention is characterized in that, in the above invention, the distribution control step controls the number of distributions separately for each advertising content having different appeal contents.

  Also, in the present invention according to the above-mentioned invention, the distribution control step controls the number of advertisement contents distributed based on information related to a predetermined limit value of the number of advertisement contents distribution that the user is negative for advertisement browsing. It is characterized by doing.

  Further, the present invention is characterized in that, in the above-mentioned invention, the distribution control step controls the number of advertisement contents distributed based on information relating to the user's forgetting with respect to the advertisement contents.

  Further, the present invention is characterized in that, in the above invention, the distribution control step controls the number of distributions for a single advertisement content.

  The present invention is also an advertisement content distribution control program for controlling the number of advertisement content distributions when an advertisement content that accepts an output request for a predetermined web page from a user is distributed. A count counting procedure for counting the number of times a web page output request has been received from an arbitrary user, and an arbitrary number for adjusting the total number for receiving a predetermined web page output request based on the number of times tabulated by the count count procedure And a distribution control procedure for controlling the number of advertisement contents distributed to users having a predetermined characteristic in the set of users.

  According to the present invention, the number of times an output request for a predetermined web page is received from an arbitrary user within a predetermined period is calculated, and the distribution ratio of each advertisement content is calculated based on the information on the total number of times. Therefore, by calculating the distribution ratio based on the global reaction tendency of various users to the advertising content, it is possible to obtain a stable advertising effect while responding to changes in the interest of the user who sees the advertising content Play.

  In addition, according to the present invention, the first ratio portion in which the ratio of distributing each advertisement content is constant based on the information on the number of times a request for outputting a predetermined web page is received from an arbitrary user within a predetermined period. And calculating the distribution ratio consisting of the second ratio portion in which the ratio of distributing each advertising content changes over time, while guaranteeing the distribution of advertising content to be distributed to some extent The advertising content can be distributed at a rate according to the user's reaction, and an abrupt change in the distribution rate can be suppressed.

  Further, according to the present invention, since the distribution ratio is calculated so that the first ratio portion becomes smaller as time elapses from the start of distribution of each advertisement content, the distribution of the advertisement content at a constant ratio is timed. By reducing with the progress of, it is possible to gradually suppress the long-term distribution of advertising content that the user is not interested in.

  Further, according to the present invention, the second ratio portion is calculated based on the information on the number of times a request for outputting a predetermined web page is received from an arbitrary user in a plurality of different length periods. There is an effect that it is possible to calculate an effective distribution ratio in consideration of the long-term reaction tendency of the user to the content and the short-term reaction tendency of the user.

  In addition, according to the present invention, since the distribution ratio is calculated for each type of web page on which the distributed advertisement content is posted, when the user layer browsing the web page is different for each type of web page There is an effect that the distribution ratio of the advertising content can be changed according to the user layer.

  In addition, according to the present invention, since the distribution ratio is calculated for each predetermined time zone, the distribution ratio of the advertising content is matched to the user layer when the user layer browsing the web page changes for each time zone. The effect that it can be changed.

  In addition, according to the present invention, an arbitrary user counts the number of times the predetermined response is received from an arbitrary user within a predetermined period, and adjusts the total number of the predetermined responses based on the information on the counted number By controlling the number of contents delivered to users with a predetermined characteristic in the set of content, by calculating the number of contents delivered based on the general reaction tendency to the contents of various users, Predetermined characteristics in a set of arbitrary users so that the cognitive effect of stable contents can be obtained while responding to changes in the interests of users who view the contents, and the total number of requests for outputting predetermined web pages is adjusted By controlling the number of content distributions to users, the total number of predetermined reactions can be adjusted effectively. There is an effect that that.

  In addition, according to the present invention, since the distribution of content to be distributed to users having a predetermined characteristic in a set of arbitrary users is controlled so that the total number of predetermined reactions is maximized, There is an effect that the total number can be maximized.

  In addition, according to the present invention, any user's predetermined reaction that occurs through the operation of an information input device that inputs information to a computer, a mobile phone, or a remote controller that controls the function of a television receiver can be received by any user. Since the number of times received from the user is counted, it is possible to reflect a predetermined reaction of an arbitrary user that occurs through operation of various devices in the control of the number of content distributions.

  Further, according to the present invention, the number of times that the output request for the predetermined web page is received from an arbitrary user within a predetermined period is totaled, and the output request for the predetermined web page is based on the information of the total number of times counted. Since the number of advertisement contents distributed to users of a predetermined characteristic in the set of arbitrary users is controlled so as to adjust the total number received, it is based on the general reaction tendency to advertisement contents of various users By calculating the number of distributions of advertising content, a stable advertising effect can be obtained while responding to changes in the interests of users viewing the advertising content, and the total number of requests for outputting a predetermined web page is adjusted. To control the number of advertisement contents distributed to users of a predetermined characteristic in a set of arbitrary users And by an effect that the total number of accepting the output request of a given web page can be effectively adjusted.

  In addition, according to the present invention, the distribution of advertisement content to be distributed to a user having a predetermined characteristic in a set of arbitrary users is controlled so that the total number of requests for outputting a predetermined web page is maximized. Therefore, there is an effect that the total number of requests for outputting a predetermined web page can be maximized.

  Further, according to the present invention, since the number of distributions is controlled a plurality of times in accordance with the temporal change of the user with the predetermined characteristic, it is possible to appropriately cope with the temporal change of the user with the predetermined characteristic. There is an effect.

  In addition, according to the present invention, an output request for a predetermined web page made by using an information input device for inputting information to a computer, a mobile phone, or a remote controller for controlling a function of a television receiver can be performed according to the present invention. Since the accepted number of times is counted, an output request of a predetermined web page input using various devices can be reflected in the control of the number of advertisement contents distributed.

  In addition, according to the present invention, an advertisement distributed to a user having a predetermined characteristic in a set of arbitrary users so as to adjust the total number of receiving requests for output of a predetermined web page made by an arbitrary user by Monte Carlo simulation. Since the number of content distributions is controlled, when optimizing the number of advertising content distributions, the distribution number can be prevented from falling into a local stable point, and the optimization of the distribution number is effective. There is an effect that it can be performed manually.

  In addition, according to the present invention, for a user having a predetermined characteristic in a set of arbitrary users so as to adjust the total number of requests for output of a predetermined web page made by an arbitrary user through learning using artificial intelligence. Since the number of advertisement contents to be distributed is controlled, the number of advertisement contents to be distributed can be optimized effectively.

  In addition, according to the present invention, the number of distributions is controlled so that the number of advertisement content distributions changes in response to a temporal change in the output request of a predetermined web page made by a user having a predetermined characteristic. There is an effect that it is possible to appropriately cope with the temporal change of the output request of the web page.

  Further, according to the present invention, based on a difference in the number of times a plurality of advertisement contents have received a request for outputting a predetermined web page from a user having a predetermined characteristic, according to a temporal change in the output request for the predetermined web page. Since the part of the number of distributions that change is controlled, it is possible to control to distribute the most appropriate advertisement content at each point in time among a plurality of advertisement contents.

  In addition, according to the present invention, based on the number of days related to the distribution of the advertising content, the portion of the number of distributions that does not change according to the temporal change in the output request of the predetermined web page is controlled. There is an effect that it is possible to appropriately control the number of distributions of the advertising content according to the distribution period of the advertising content and the number of days elapsed from the distribution start date, while suppressing a rapid change in the number of distributions.

  In addition, according to the present invention, since the number of advertisement content distributions is controlled so as to satisfy a predetermined condition related to the advertisement content distribution cost, the limitation is considered when the distribution cost is limited. Thus, it is possible to control the number of advertisement contents distributed.

  In addition, according to the present invention, since the number of distributions is controlled based on information indicating whether or not the number of times of receiving an output request for a predetermined web page is saturated, an output request for a predetermined web page When the number of times of receiving is saturated, there is an effect that control can be performed so that the number of distributions is not further increased.

  Further, according to the present invention, since the number of advertisement contents distributed is controlled according to the feature of each advertisement content, the user's reaction to the advertisement content differs according to the feature of the advertisement content. From this, it is possible to control the number of advertisement contents delivered so that a favorable reaction can be obtained.

  In addition, according to the present invention, since the number of distributions of cognitive advertising content that allows the user to recognize the presence of something and the number of distributions of acquisition-type advertising content that prompt the user to purchase something are controlled separately. There is an effect that it is possible to control the number of distributions of the cognitive advertising content and the acquired advertising content so that a favorable reaction can be obtained from the user.

  In addition, according to the present invention, since the number of distributions is separately controlled for a plurality of different advertisement contents having the same appeal content, a predetermined web among a plurality of different advertisement contents having the same appeal content It is possible to increase the appealing effect of the advertising content by distributing a large amount of advertising content that receives the largest number of page output requests.

  In addition, according to the present invention, the number of advertisement content distributions is controlled so that the number of output requests for a predetermined web page made by a non-overlapping user is maximized. There is an effect that the appeal effect of can be effectively enhanced.

  In addition, according to the present invention, the number of advertisement content distributions is controlled so that the recognition rate, which is the rate at which the content promoted by the advertisement content is recognized by the user, is maximized. There is an effect that it can be increased.

  Further, according to the present invention, since the number of advertisement contents distributed is controlled based on information related to advertisement recognition interaction among a plurality of advertisement media, it is broadcasted or published on television, radio, newspaper, magazine, etc. Considering the influence of the advertisement that has been placed on the advertisement content posted on the web page, the number of distributions can be controlled so that the number of times that an output request for a predetermined web page is received from the user is increased.

  In addition, according to the present invention, since the number of distributions is controlled based on a predetermined condition related to the number of advertisement content distributions, the limitation is considered when the number of advertisement content distributions is limited. Thus, there is an effect that the number of distributions can be controlled so that the number of times of receiving an output request for a predetermined web page from the user is increased.

  In addition, according to the present invention, the number of distributions is controlled based on a predetermined condition related to the advertisement content distribution period. Therefore, when the distribution period of the advertisement content is limited, the limitation is considered. Thus, there is an effect that the number of distributions can be controlled so that the number of times of receiving an output request for a predetermined web page from the user is increased.

  Moreover, according to this invention, the advertising content delivered with respect to the user who is specified as the appeal target of advertising content, the advertising content delivered with respect to the user who is not specified as the appeal target of advertising content, Since the number of distributions is controlled separately in the above, a predetermined web page can be obtained from the user by, for example, controlling the number of distributions more finely for the user who is identified as the target of advertising content. There is an effect that the number of times of receiving the output request can be increased.

  In addition, according to the present invention, the number of advertisement content distributions is controlled based on the number of times an output request for a predetermined web page is received from a user who does not duplicate acquisition-type advertisement content that prompts the user to purchase something. Thus, it is possible to effectively control the distribution of the advertising content so that the appealing effect of the acquisition-type advertising content is enhanced.

  Further, according to the present invention, when advertising content is distributed, information related to the user's response to the distributed advertising content is acquired, and when the user's response is a specific response, Since the setting relating to the control of the number of distributions is changed, there is an effect that when the user shows a specific reaction, the control of the number of distributions of the advertising content according to the reaction can be appropriately performed.

  In addition, according to the present invention, when the user's reaction is a specific reaction, the setting related to the control of the number of distributions is changed so as to stop the distribution of the advertisement content, so the advertisement content is browsed once It is possible to prevent the same advertising content from being distributed again to a user who has made a request or a user who has requested distribution refusal.

  In addition, according to the present invention, since the number of distributions is controlled separately for each advertising content having different appeal contents, by appropriately controlling the number of distributions for each advertising content having different appeal contents, There is an effect that the effect can be enhanced.

  In addition, according to the present invention, since the number of distributions is controlled based on information related to a predetermined limit value of the number of distributions of advertisement content that the user is negative for browsing the advertisement, the number of distributions of advertisement content However, there is an effect that the number of advertisement contents distributed can be controlled so that the user does not exceed a limit value that is negative for advertisement browsing.

  In addition, according to the present invention, since the number of advertisement contents distributed is controlled based on the information related to the user's forgetting of the advertisement content, the advertisement contents can be distributed when the user thinks that the user has forgotten the advertisement contents. The effect of promoting the advertising content can be enhanced by increasing the number of advertisements.

  Further, according to the present invention, since the number of distributions for a single advertisement content is controlled, the total number of requests for outputting a predetermined web page can be effectively controlled by controlling the number of distributions for a single advertisement content. There is an effect that it can be adjusted.

  With reference to the accompanying drawings, an advertising content distribution ratio calculation program, an advertising content distribution ratio calculation method, an advertising content distribution ratio calculation system, an advertising content distribution control system, an advertising content distribution control method, and an advertising content distribution control according to the present invention will be described below. A preferred embodiment of the program will be described in detail. In the following embodiment, a banner advertisement, which is a type of Internet advertisement, is distributed as advertisement content to a web server device that provides a web page browsing service, and the distributed banner advertisement is posted on the web page. Will be described.

  First, the concept of the advertising content distribution ratio calculation process according to the first embodiment will be described. FIG. 1 is a diagram illustrating the concept of the advertisement content distribution ratio calculation process according to the first embodiment. In this advertisement content distribution ratio calculation processing, a plurality of banner advertisements are distributed to the web server device, and the distribution ratio of each banner advertisement is calculated when they are posted on a predetermined web page.

  Here, the distribution ratio of each banner advertisement is calculated once a day, and the banner advertisement is distributed that day so that the actual distribution ratio matches the calculated distribution ratio. However, the interval for calculating the distribution ratio of each banner advertisement is not limited to once a day and can be arbitrarily set.

  The plurality of banner advertisements are a set of banner advertisements requested by an advertiser to distribute each banner advertisement at an appropriate ratio, for example, banner advertisements having different contents created for a certain product. Hereinafter, this set of banner advertisements is referred to as an advertisement set.

  In this banner advertisement, a link to the advertiser's web page is set in advance. When the user makes a request to output a web page of an advertiser to which a link is set by clicking the banner advertisement with a mouse or the like, the web page is output to the terminal device of the user.

  In this banner advertisement distribution ratio calculation process, the distribution ratio of each banner advertisement in the advertisement set distributed to the web server device for one day is divided into two, a fixed distribution ratio and a variable distribution ratio. The fixed distribution ratio is obtained by fixing the distribution ratio of each banner advertisement within the period during which the banner advertisement is distributed.

  The variable distribution ratio is obtained by changing the distribution ratio of each banner advertisement in the advertisement set within the period during which the banner advertisement is distributed. Specifically, the variable distribution ratio is calculated based on a click-through rate within a predetermined period. Here, the click-through rate is a ratio of the number of times that a banner advertisement is clicked by an arbitrary user using a mouse or the like within the same period to the number of times that the banner advertisement is distributed within a predetermined period.

  FIG. 1 shows a case where there are three types of banner advertisements A, B, and C. The banner advertisement distributed based on the fixed distribution ratio is the distribution ratio fixed advertisement A, the distribution ratio fixed advertisement B, and the distribution. Each is shown as a fixed ratio advertisement C. Also, banner advertisements A, B, and C distributed based on the variable distribution ratio are shown as distribution ratio variable advertisement A, distribution ratio variable advertisement B, and distribution ratio variable advertisement C, respectively.

  In this banner advertisement distribution ratio calculation process, a plurality of banner advertisements are distributed mainly based on the fixed distribution ratio at the initial stage of the banner advertisement distribution period. The focus has shifted to the delivery of banner ads based on.

  Thus, the output request of a predetermined web page received from an arbitrary user within a predetermined period, that is, the number of clicks of a banner advertisement clicked by an arbitrary user within a predetermined period, Since the distribution ratio of each advertising content is calculated based on the information, the interest of users who see banner ads changes by calculating the distribution ratio based on the general reaction tendency of various users to the advertising content It is possible to obtain a stable advertisement effect.

  Calculating a distribution ratio including a fixed distribution ratio portion in which the ratio of distributing each banner advertisement content is constant and a variable distribution ratio portion in which the ratio of distributing each banner advertisement changes over time; Therefore, if the advertiser wants to instill the product image of a certain product into the user, it will continue to distribute the specific banner advertisement that instills the product image to the user to some extent based on the fixed distribution ratio. The banner advertisement can be distributed at a ratio corresponding to the user's reaction based on the variable distribution ratio. In addition, due to the presence of the fixed distribution ratio portion, a rapid change in the distribution ratio of the banner advertisement can be suppressed.

  Next, a functional configuration of the advertisement distribution system according to the first embodiment will be described. FIG. 2 is a diagram illustrating a functional configuration of the advertisement distribution system according to the first embodiment. As shown in FIG. 2, in this advertisement distribution system, user terminal devices 10 a to 10 c, web server devices 20 a to 20 c, an advertisement distribution device 40, and a redirect device 50 are connected via the Internet 30.

  In this advertisement distribution system, an advertisement distribution apparatus 40, a redirect apparatus 50, a history information totaling apparatus 60, an advertisement management database apparatus 70, and an advertisement distribution ratio calculation apparatus 80 are connected via a LAN (Local Area Network) 90. .

  The user terminal devices 10a to 10c are terminal devices that a user accesses the web server devices 20a to 20c, acquires HTML (Hyper Text Markup Language) data of the web page, and outputs the web page to a display.

  The web server devices 20a to 20c are server devices that provide a web page browsing service. When receiving web page browsing requests from the user terminal devices 10a to 10c, the web server devices 20a to 20c transmit HTML data of the web page to the user terminal devices 10a to 10c.

  Moreover, when the browsing request of the web page set to publish the banner advertisement is received from the user terminal devices 10a to 10c, the web server devices 20a to 20c send the banner advertisement data to the advertisement distribution device 40. A request for transmission is made, and processing for transmitting the banner advertisement data acquired from the advertisement distribution device 40 and the HTML data of the web page to the user terminal devices 10a to 10c is performed.

  The advertisement distribution device 40 is a device that transmits data to the web server devices 20a to 20c when receiving a request for transmission of banner advertisement data from the web server devices 20a to 20c.

  When the banner advertisement transmitted to the web server apparatuses 20a to 20c is a banner advertisement belonging to the advertisement set, the advertisement distribution apparatus 40 provides information on a distribution ratio when each banner advertisement is distributed from the advertisement management database apparatus 70. Acquire and distribute a banner advertisement based on the distribution ratio information.

  The advertisement distribution device 40 includes a communication unit 41, an advertisement database 42, an advertisement distribution history database 43, a storage unit 44, an advertisement distribution processing unit 45, and a control unit 46. The communication unit 41 is a network interface that exchanges data with other devices via the Internet 30 or the LAN 90.

  The advertisement database 42 is a database that stores banner advertisement data to be transmitted to the web server devices 20a to 20c. The advertisement distribution history database 43 is a database that stores information related to the history of distributed banner advertisements.

  FIG. 3 is a diagram illustrating an example of the advertisement distribution history data 430 stored in the advertisement distribution database 43. As shown in FIG. 3, the advertisement distribution history data 430 stores URL (Uniform Resource Locator), advertisement distribution date, advertisement set ID, and advertisement ID data.

  The URL is URL data of a web page on which the distributed banner advertisement is posted. The advertisement distribution date and time is information on the date and time when the data of the banner advertisement is transmitted to the web server devices 20a to 20c. The advertisement set ID is ID data for identifying each advertisement set. The advertisement ID is ID data for identifying each banner advertisement belonging to the advertisement set.

  Returning to the description of FIG. 2, the storage unit 44 stores a computer program and various data used in the control unit 46. When the advertisement distribution processing unit 45 receives a request for transmitting banner advertisement data from the web server devices 20a to 20c, the advertisement distribution processing unit 45 transmits the data to the web server devices 20a to 20c.

  In particular, when the banner advertisement belongs to the advertisement set, the advertisement distribution processing unit 45 acquires information on a distribution ratio when distributing each banner advertisement from the advertisement management database device 70, and the actual distribution ratio is included in the distribution ratio. The banner advertisement to be distributed so as to approach is selected, and the data of the selected banner advertisement is transmitted to the web server devices 20a to 20c.

  The control unit 46 is a control unit that controls the advertisement distribution apparatus 40 as a whole, and controls data exchange between the functional units.

  When the banner advertisement on the web page output to the user terminal devices 10a to 10c is clicked with a mouse or the like, the redirect device 50 receives the URL information of the advertiser's web page linked to the banner advertisement as the user terminal device. Processing to transmit to 10a to 10c is performed. The user terminal devices 10a to 10c use the URL information to acquire HTML data of the advertiser's web page, and output the web page to the display.

  The redirect device 50 includes a communication unit 51, a redirect URL database 52, a click history database 53, a storage unit 54, a redirect processing unit 55, a click information collection unit 56, and a control unit 57.

  The communication unit 51 is a network interface that exchanges data with other devices via the Internet 30 or the LAN 90. The redirect URL database 52 is a database that stores information on URLs of web pages linked to banner advertisements.

  The click history database 53 stores information related to a history of clicking a banner advertisement on a web page with a mouse or the like. FIG. 4 is a diagram illustrating an example of the click history data 530 stored in the click history database 53.

  As shown in FIG. 4, the click history data 530 stores URL, advertisement ID, and click date / time data. The URL is URL data of a web page on which a banner advertisement is posted. The advertisement ID is the same as the advertisement ID shown in FIG. 3 and is an ID for identifying the advertisement. The click date / time is data of the date / time when the banner advertisement is clicked by the user.

  Returning to the description of FIG. 2, the storage unit 54 stores a computer program and various data used in the control unit 57. When the banner advertisement is clicked, the redirect processing unit 55 receives the information from the user terminal devices 10a to 10c, and searches the URL information of the advertiser's web page linked to the banner advertisement from the redirect URL database 52. To the user terminal devices 10a to 10c.

  When the banner advertisement is clicked, the click information collecting unit 56 acquires the URL of the web page on which the banner advertisement is posted, the advertisement ID of the banner advertisement, and the information on the date and time when the banner advertisement is clicked. The data is stored in the click history database 53 as click history data 530.

  The control unit 57 is a control unit that controls the redirect device 50 as a whole, and controls data exchange between the functional units.

  The history information aggregation device 60 acquires the advertisement distribution history data 430 from the advertisement distribution history database 43 of the advertisement distribution device 40, acquires the click history data 530 from the click history database 53 of the redirect device 50, and distributes the banner advertisement. The number of times and the number of times the user clicked on the banner advertisement is counted.

  The history information totaling device 60 includes a communication unit 61, a storage unit 62, and a history information totaling unit 63. The communication unit 61 is a network interface that exchanges data with other devices via the LAN 90. The storage unit 62 stores computer programs and various data used by the control unit 64.

  The history information totaling unit 63 acquires the advertisement distribution history data 430 and the click history data 530, and totals the number of banner advertisements distributed and the number of times the banner advertisement is clicked by the user. Then, the history information totaling unit 63 performs processing for transmitting the totaled result to the advertisement management database device 70.

  FIG. 5 is a diagram illustrating an example of a total result 600 of the number of banner advertisement distributions and the number of banner advertisement clicks. As shown in FIG. 5, the total result 600 includes data of an advertisement ID, the number of times of distribution, the number of times of distribution within a week, and the number of clicks within a week.

  The advertisement ID is the same as the advertisement ID shown in FIG. 3 and is an ID for identifying the advertisement. The already distributed number of times is data of the number of times the banner advertisement has been distributed so far. The number of times of delivery within a week is data of the number of times that a banner advertisement is delivered within a week. The number of clicks within a week is data of the number of times that a banner advertisement is clicked by a user within a week.

  Returning to the description of FIG. 2, the advertisement management database device 70 is a database that stores the distribution conditions and distribution ratio of each banner advertisement in the advertisement set, information on the web page on which the advertisement is posted, and the like. The advertisement management database device 70 includes a communication unit 71, a storage unit 72, an advertisement management database 73, an advertisement posting web page database 74, an advertisement distribution ratio database 75, and a control unit 76.

  The communication unit 71 is a network interface that exchanges data with other devices via the LAN 90. The storage unit 72 stores computer programs and various data used by the control unit 76.

  The advertisement management database device 70 stores information related to banner advertisement distribution conditions, banner advertisement distribution history, and click history of banner advertisement clicked by the user. FIG. 6 is a diagram illustrating an example of advertisement management data 730 stored by the advertisement management database device 70.

  As shown in FIG. 6, this advertisement management data 730 stores data of advertisement set ID, URL, distribution period, number of distribution targets, advertisement ID, number of already distributed, number of distribution within one week, and number of clicks within one week. ing.

  The advertisement set ID is an ID for identifying each advertisement set. The URL is data of a URL of a web page designated by the advertiser to place a banner advertisement. In addition, when it is specified that a banner advertisement is to be posted on a plurality of web pages, information on a plurality of URLs is stored. The distribution period is data for a period specified by the advertiser to distribute the banner advertisement. The distribution target number is data of the number of times designated by the advertiser to distribute the banner advertisement.

  The advertisement ID is the same as the advertisement ID shown in FIG. 3 and is an ID for identifying a banner advertisement belonging to each advertisement set. The already distributed number of times is data of the number of times each banner advertisement has been distributed so far. The number of distributions within a week is data on the number of times that a banner advertisement has been distributed within the past week. The number of clicks within a week is data of the number of times that the banner advertisement has been clicked by the user within the past week.

  Here, the data of the number of already delivered, the number of delivered within a week, and the number of clicks within a week are data stored by the history information totaling device 60.

  Returning to the description of FIG. 2, the advertisement placement web page database 74 stores information on web pages on which the distributed banner advertisement is placed. FIG. 7 is a diagram illustrating an example of the advertisement posting web page data 740 stored in the advertisement posting web page database 74.

  As shown in FIG. 7, the advertisement posting web page data 740 stores URL and web page type data. The URL is data of a URL of a web page on which a banner advertisement is posted. The web page type is data of the type of the web page on which the banner advertisement is posted. Each web page is classified into a predetermined type according to its contents.

  Returning to the description of FIG. 2, the advertisement distribution ratio database 75 stores the distribution ratio of each banner advertisement belonging to the advertisement set. This distribution ratio is calculated by the advertisement distribution ratio calculation device 80.

  FIG. 8 is a diagram illustrating an example of advertisement distribution ratio data 750 stored in the advertisement distribution ratio database 75. As shown in FIG. 8, the advertisement distribution ratio data 750 stores data of an advertisement set ID, an advertisement ID, a fixed distribution ratio, a variable distribution ratio, and a distribution ratio.

  The advertisement set ID and the advertisement ID are the same as the advertisement set ID and the advertisement ID shown in FIG. 6, and are IDs for identifying each advertisement set and each banner advertisement. The fixed distribution ratio is obtained by fixing the distribution ratio of each banner advertisement in the advertisement set within the banner advertisement distribution period. The variable distribution ratio is obtained by changing the distribution ratio of each banner advertisement in the advertisement set within the banner advertisement distribution period.

  The distribution ratio is a ratio calculated based on the fixed distribution ratio and the variable distribution ratio, and is referred to in order to select which banner advertisement is distributed when distributing each banner advertisement in the advertisement set. It is data. The fixed distribution ratio, the variable distribution ratio, and the distribution ratio are calculated by the advertisement distribution ratio calculation device 80 described below.

  The control unit 76 is a control unit that controls the advertisement management database device 70 as a whole, and controls data exchange between the functional units.

  The advertisement distribution ratio calculation device 80 calculates the distribution ratio of each banner advertisement in the advertisement set. Then, information related to the calculated distribution ratio is transmitted to the advertisement management database device 70. The advertisement distribution ratio calculation device 80 includes a communication unit 81, a storage unit 82, a fixed distribution ratio calculation unit 83, a variable distribution ratio calculation unit 84, a distribution ratio calculation unit 85, and a control unit 86.

  The communication unit 81 is a network interface that exchanges data with other devices via the LAN 90. The storage unit 82 stores computer programs and various data used by the control unit 86.

  The fixed distribution ratio calculation unit 83 performs processing for calculating a fixed distribution ratio. Specifically, the fixed distribution ratio calculation unit 83 acquires the advertisement management data 730 from the advertisement management database 73 of the advertisement management database device 70, and calculates the fixed distribution ratio of each banner advertisement according to Equation 1 shown below.

(Fixed distribution ratio of each banner ad belonging to the ad set)
= {1- (Elapsed Days from Distribution Start Date) / (Banner Advertisement Distribution Period)) × 100
/ (Number of banner advertisements belonging to the advertisement set) . . (Formula 1)

For example, when the number of days elapsed from the start date of distribution is 10 days, the distribution period of banner advertisements is 30 days, and the number of banner advertisements belonging to the advertisement set is 3, fixing of each banner advertisement belonging to the advertisement set is fixed. Distribution ratio is
(1-10 / 30) × 100/3 = 22.2
It becomes. That is, in the banner advertisement distribution based on this fixed distribution ratio, each banner advertisement is distributed at a ratio of 22.2 to 22.2 to 22.2 (one to one to one).

  The variable distribution ratio calculation unit 84 performs processing for calculating the variable distribution ratio. Specifically, the variable distribution ratio calculation unit 84 acquires the advertisement management data 730 from the advertisement management database 73 of the advertisement management database device 70, and calculates the variable distribution ratio of each banner advertisement according to Expression 2 shown below.

(Variable distribution ratio of banner advertisement i belonging to the advertisement set)
= (Click-through rate for banner ad i within the past week)
/ (The sum of the click-through rates of each banner ad belonging to the ad set in the past week)
X100. . . (Formula 2)

Here, the click-through rate of the banner advertisement i within the past week is calculated by Equation 3 shown below.
(Click-through rate for banner ad i in the past week)
= (Number of clicks on banner ad i by user within the past week)
/ (Number of times banner advertisement i has been delivered in the past week). . . (Formula 3)

For example, three banner advertisements belong to a certain advertisement set, and the number of times each banner advertisement is delivered within the past week is 100, 150, and 60. Each banner advertisement is received by the user within the past week. If the clicks are 20, 15 and 18, respectively, the click-through rate for each banner ad within the past week is
20/100 = 0.2,
15/150 = 0.1,
18/60 = 0.3,
It becomes.

In this case, the variable distribution ratio of each banner ad belonging to the ad set is
0.2 / (0.2 + 0.1 + 0.3) × 100 = 33.3
0.1 / (0.2 + 0.1 + 0.3) × 100 = 16.7,
0.3 / (0.2 + 0.1 + 0.3) × 100 = 50.0,
It becomes. That is, in the distribution of the banner advertisement based on this variable distribution ratio, each banner advertisement is distributed at a ratio of 33.3: 16.7: 50.0.

  The distribution ratio calculation unit 85 calculates the distribution ratio of each banner advertisement belonging to the advertisement set based on the information of the fixed distribution ratio and the variable distribution ratio calculated by the fixed distribution ratio calculation unit 83 and the variable distribution ratio calculation unit 84, respectively. Then, information on the fixed distribution ratio, the variable distribution ratio, and the distribution ratio is transmitted to the advertisement management database device 70 and stored in the advertisement distribution ratio database 75.

Specifically, the distribution ratio calculation unit 85 calculates the distribution ratio according to Equation 4 shown below.
(Delivery ratio of banner advertisement i belonging to the advertisement set)
= (Fixed distribution ratio of banner advertisement i belonging to the advertisement set)
+ (Variable distribution ratio of banner advertisement i belonging to the advertisement set). . . (Formula 4)

For example, three banner advertisements belong to the advertisement set, the fixed distribution ratio of each banner advertisement is 22.2, 22.2 and 22.2, and the variable distribution ratio of each banner advertisement is 33.3, For 16.7 and 50.0, the distribution ratio for each banner ad is
22.2 + 33.3 = 55.5
22.2 + 16.7 = 38.9,
22.2 + 50.0 = 72.2,
It becomes. That is, the three banner advertisements belonging to this advertisement set are distributed at a ratio of 55.5: 38.9: 72.2.

  The control unit 86 is a control unit that controls the overall advertisement distribution ratio calculation device 80, and controls data exchange between the functional units.

  Next, the processing procedure of the advertising content distribution ratio calculation process according to the first embodiment will be described. FIG. 9 is a flowchart of the process procedure of the advertisement content distribution ratio calculation process according to the first embodiment.

  As shown in FIG. 9, first, the fixed distribution ratio calculation unit 83 of the advertisement distribution ratio calculation apparatus 80 calculates the banner advertisement distribution period and the number of banner advertisements belonging to the advertisement set from the advertisement management database 73 of the advertisement management database apparatus 70. Information is acquired (step S101).

  Then, the fixed distribution ratio calculation unit 83 uses the acquired distribution period and information on the number of banner advertisements and the information on the number of days elapsed from the distribution start date of the banner advertisement to calculate the fixed distribution ratio of each banner advertisement. Is calculated (step S102).

  Here, the information on the number of days elapsed from the delivery start date of the banner advertisement is acquired from the calendar (not shown in FIG. 2) of the current day from the calendar built in the advertisement delivery ratio calculation device 80, and the delivery period It is calculated by calculating | requiring the difference with the delivery start date.

  Subsequently, the variable distribution ratio calculation unit 84 acquires information on the number of distributions of each banner advertisement within the past week and the number of clicks within the past week from the advertisement management database 73 of the advertisement management database device 70 (step S103). ).

  Then, the variable distribution ratio calculation unit 84 calculates the click-through rate of each banner advertisement using Expression 3 (step S104), and calculates the variable distribution ratio of each banner advertisement using Expression 2 from the calculated click-through rate. (Step S105).

  Subsequently, the distribution ratio calculation unit 85 uses the fixed distribution ratio calculated by the fixed distribution ratio calculation unit 83 and the variable distribution ratio calculated by the variable distribution ratio calculation unit 84 to calculate each banner advertisement. A distribution ratio is calculated (step S106), the calculated distribution ratio is transmitted to the advertisement management database device 70 (step S107), and this advertisement distribution ratio calculation process is terminated.

  Thereafter, the advertisement management database device 70 receives the distribution ratio information transmitted by the advertisement distribution ratio calculation device 80 and performs processing for storing the information in the advertisement distribution ratio data 750 of the advertisement distribution ratio database 75.

  FIG. 10 is a diagram illustrating an example of the distribution ratio calculation result 100 calculated by the advertisement content distribution ratio calculation process. In the example of FIG. 10, daily changes in the distribution ratio of the banner advertisements 1 to 6 belonging to the advertisement set are shown. Also, here, each distribution ratio is normalized and normalized so that the distribution ratio of the banner advertisements 1 to 6 on May 22 is 100.

  When the number of days elapsed from the distribution start date is small, the distribution ratio is calculated with an emphasis on the fixed distribution ratio, as shown in Equation 1, so that the distribution ratios of the banner advertisements 1 to 6 are substantially the same. However, as the number of days elapsed from the distribution start date increases, as can be seen from Equation 1, the importance of the fixed distribution ratio gradually decreases, and the distribution ratio approaches the variable distribution ratio.

  Therefore, as shown in FIG. 10, as the number of days elapses, a banner advertisement distributed at a high ratio (for example, banner advertisement 4) and a banner advertisement distributed at a low ratio (for example, banner advertisement 2) The difference in the ratio between them becomes larger.

  In this way, each banner advertisement is distributed evenly in the initial stage of distribution, and in the latter part of the distribution, banner advertisements that the user is more interested in are preferentially distributed according to the user's reaction. It is possible to distribute banner advertisements effectively by considering the intention of the advertiser who wants to distribute them and the user's reaction in a balanced manner.

  As described above, in the first embodiment, the history information totaling unit 63 of the history information totaling device 60 has received the output request of a predetermined web page from an arbitrary user within a predetermined period, that is, an arbitrary The number of clicks of the banner advertisement clicked by the user is totaled, and the fixed distribution ratio calculation unit 83, the variable distribution ratio calculation unit 84, and the distribution ratio calculation unit 85 of the advertisement distribution ratio calculation device 80 are based on the total number of times information. Therefore, the distribution ratio of each banner advertisement is calculated, and the distribution ratio is calculated based on the general reaction tendency of various users to the advertisement content. However, a stable advertising effect can be obtained.

  In the first embodiment, the fixed distribution ratio calculation unit 83, the variable distribution ratio calculation unit 84, and the distribution ratio calculation unit 85 of the advertisement distribution ratio calculation device 80 distribute each banner advertisement based on the information on the number of clicks. Distribution ratio consisting of a fixed distribution ratio part where the ratio of distribution is constant and a variable distribution ratio part where the ratio of distribution of each banner advertisement changes over time. The banner advertisement can be distributed at a ratio according to the user's reaction while guaranteeing the distribution of the desired banner advertisement, and a rapid change in the distribution ratio can be suppressed.

  Further, in the first embodiment, the fixed distribution ratio calculation unit 83, the variable distribution ratio calculation unit 84, and the distribution ratio calculation unit 85 of the advertisement distribution ratio calculation device 80 perform fixed distribution as time elapses from the start of distribution of each banner advertisement. Since we decided to calculate the distribution ratio so that the ratio portion becomes smaller, we will gradually distribute long-term distribution of banner advertisements that the user is not interested in by reducing the distribution of banner advertisements at a constant ratio over time Can be suppressed.

(Modification 1 of Example 1)
Here, in the first embodiment, the distribution ratio of the banner advertisement distributed when each banner advertisement belonging to the advertisement set is posted on one or a plurality of web pages is calculated. When classified into types, a distribution ratio for distributing banner advertisements for each type may be calculated.

  This is because the user group who browses the web page is different for each type of web page on which the banner advertisement is posted, and the advertising effect is improved by changing the distribution ratio for delivering the banner advertisement for each type of web page. Will be able to.

  In this case, the fixed distribution ratio calculation unit 83 and the variable distribution ratio calculation unit 84 of the advertisement distribution ratio calculation device 80 illustrated in FIG. 2 acquire the advertisement management data 730 from the advertisement management database 73 of the advertisement management database device 70, and The advertisement insertion web page data 740 is acquired from the advertisement insertion web page database 74 of the advertisement management database device 70.

  Then, the fixed distribution ratio calculation unit 83 and the variable distribution ratio calculation unit 84 use Expression 1, Expression 2, and Expression 3 to calculate the fixed distribution ratio and the variable distribution ratio of the banner advertisement belonging to the advertisement set for each type of web page. Calculate each.

  Thereafter, the distribution ratio calculation unit 85 of the advertisement distribution ratio calculation device 80 calculates the distribution ratio of the banner advertisement for each type of web page using Expression 4, and transmits the calculated distribution ratio to the advertisement management database device 70. Processing to be stored in the advertisement distribution ratio database 75 is performed.

  FIG. 11 is a diagram illustrating an example of the advertisement distribution ratio data 750a calculated for each type of web page. The advertisement distribution ratio data 750 a is stored in the advertisement distribution ratio database 75 of the advertisement management database device 70.

  As shown in FIG. 11, the advertisement distribution ratio data 750a stores data of advertisement set ID, web page type, advertisement ID, fixed distribution ratio, variable distribution ratio, and distribution ratio.

  The advertisement set ID and the advertisement ID are the same as the advertisement set ID and the advertisement ID shown in FIG. The web page type is the same as the web page type shown in FIG. 7 and is data of the type of the web page on which the banner advertisement is posted. The fixed distribution ratio, the variable distribution ratio, and the distribution ratio are a fixed distribution ratio, a variable distribution ratio, and a distribution ratio calculated for each type of web page. Here, advertisement ID, fixed distribution ratio, variable distribution ratio, and distribution ratio data are stored for each type of web page.

  The advertisement distribution apparatus 40 shown in FIG. 2 refers to the advertisement distribution ratio data 750a and the advertisement insertion web page data 740 stored in the advertisement insertion web page database 74 to determine which web page has a banner advertisement. It is determined whether it belongs to a web page type, and a process for delivering a banner advertisement is performed based on the delivery ratio calculated for each web page type.

  As described above, in the first modification of the first embodiment, the distribution ratio calculation unit 85 of the advertisement distribution ratio calculation device 80 calculates the distribution ratio for each type of web page on which the distributed banner advertisement is posted. Therefore, when the user layer browsing the web page is different for each type of web page, the distribution ratio of the banner advertisement can be changed according to the user layer.

(Modification 2 of Example 1)
In the first modification of the first embodiment, the distribution ratio for distributing the banner advertisement is calculated for each type of web page. However, the distribution ratio may be calculated for each time period for distributing the banner advertisement. .

  This is because the user group who browses the web page is different for each time zone of the day, so that the advertising effect can be enhanced by changing the distribution ratio for delivering the banner advertisement for each time zone. Become.

  In this case, the history information totaling unit 63 of the history information totaling apparatus 60 shown in FIG. 2 divides the day into a plurality of time zones, and determines the number of banner advertisements delivered and the number of times the user clicked on the banner ads in the time zone The result of the aggregation is sent to the advertisement management database device 70.

  Specifically, the history information totaling unit 63 divides the data of the already distributed number of times, the number of times of weekly distribution, and the number of clicks within a week stored in the total result 600 shown in FIG. Tally.

  Then, the advertisement management database device 70 receives the data of the number of already delivered, the number of times of delivery within one week, and the number of times of click within one week, which are aggregated for each time zone transmitted by the history information totaling device 60, and the advertisement management database 73 is stored as advertisement management data.

  Thereafter, the fixed distribution ratio calculation unit 83 and the variable distribution ratio calculation unit 84 of the advertisement distribution ratio calculation device 80 acquire the stored advertisement management data and the advertisement insertion web page data 740 stored in the advertisement insertion web page database 74. To do.

  Subsequently, the fixed distribution ratio calculation unit 83 and the variable distribution ratio calculation unit 84 use the formula 1, the formula 2 and the formula 3 to calculate the fixed distribution ratio of the banner advertisement belonging to the advertisement set for each web page type and time zone, and Each variable distribution ratio is calculated.

  Then, the distribution ratio calculation unit 85 of the advertisement distribution ratio calculation apparatus 80 calculates the distribution ratio of the banner advertisement for each web page type and time zone using Expression 4, and stores the calculated distribution ratio in the advertisement management database apparatus 70. Processing to transmit and store in the advertisement distribution ratio database 75 is performed.

  FIG. 12 is a diagram illustrating an example of the advertisement distribution ratio data 750b calculated for each type of web page and each time zone. The advertisement distribution ratio data 750b is stored in the advertisement distribution ratio database 75 of the advertisement management database device 70.

  As shown in FIG. 12, this advertisement distribution ratio data 750b stores data of advertisement set ID, web page type, time zone, advertisement ID, fixed distribution ratio, variable distribution ratio, and distribution ratio.

  The advertisement set ID, web page type, and advertisement ID are the same as the advertisement set ID, web page type, and advertisement ID shown in FIG. The time zone is data of a time zone in which the banner advertisement is distributed. The fixed distribution ratio, the variable distribution ratio, and the distribution ratio are a fixed distribution ratio, a variable distribution ratio, and a distribution ratio calculated for each type of web page and time zone. Here, advertisement ID, fixed distribution ratio, variable distribution ratio, and distribution ratio data are stored for each type of web page and each time zone.

  The advertisement distribution processing unit 45 of the advertisement distribution apparatus 40 shown in FIG. 2 refers to the advertisement distribution ratio data 750b and the advertisement insertion web page data 740 stored in the advertisement insertion web page database 74, and performs a banner advertisement. It is determined to which web page type the web page to be posted belongs, and to which time zone the current time belongs.

  Then, the advertisement distribution processing unit 45 searches for the distribution ratio corresponding to the web page type of the web page on which the banner advertisement is posted and the time zone to which the current time belongs, and distributes the banner advertisement based on the searched distribution ratio. Do it.

  As described above, in the second modification of the first embodiment, the distribution ratio calculation unit 85 of the advertisement distribution ratio calculation device 80 calculates the distribution ratio for distributing each banner advertisement every predetermined time period. When the user layer browsing the web page is different for each time zone, the distribution ratio of each banner advertisement can be changed according to the user layer.

  By the way, in the first embodiment, the fluctuation distribution ratio of each banner advertisement belonging to the advertisement set is calculated based on the information of the click-through rate in the past one week. May be calculated.

  Thereby, a user's real-time reaction with respect to a banner advertisement can be reflected in a delivery ratio, and an advertising effect can be improved more. In the second embodiment, a case where the distribution ratio is calculated in consideration of real-time information of the click through rate will be described.

  First, the concept of the advertising content distribution ratio calculation process according to the second embodiment will be described. FIG. 13 is a diagram for explaining the concept of the advertisement content distribution ratio calculation process according to the second embodiment. In this advertisement content distribution ratio calculation process, the distribution ratio of each banner advertisement in the advertisement set distributed to the web server device for one day is divided into three parts: a fixed distribution ratio, a variable distribution ratio, and a real-time variable distribution ratio. .

  Here, the fixed distribution ratio and the variable distribution ratio are the same as the fixed distribution ratio and the variable distribution ratio described in the first embodiment. The real-time variable distribution ratio is a distribution ratio calculated based on real-time click-through rate information.

  The real-time click-through rate is a click-through rate calculated using data obtained by aggregating the number of banner advertisement distributions and the number of banner advertisement clicks over a short period of time.

  In the first embodiment, when calculating the variable distribution ratio, the click-through rate is calculated based on the number of banner advertisement distributions in the past week and the number of clicks clicked on the banner advertisement, but the real-time variable distribution ratio is calculated. In this case, the click-through rate is calculated based on the number of times the banner advertisement is distributed on the day when the banner advertisement is distributed and the number of clicks on which the banner advertisement is clicked.

  In the second embodiment, the distribution ratio of each banner advertisement is calculated every time the user clicks on the banner advertisement. However, the timing for calculating the distribution ratio is not limited to this, and the distribution ratio of each banner advertisement may be calculated every time the banner advertisement is distributed.

  FIG. 13 shows the case where there are three types of banner advertisements A, B, and C. The banner advertisement distributed based on the fixed distribution ratio is the distribution ratio fixed advertisement A, distribution ratio fixed advertisement B, and distribution. Each is shown as a fixed ratio advertisement C.

  Further, the banner advertisements distributed based on the variable distribution ratio are illustrated as distribution ratio variable advertisement A, distribution ratio variable advertisement B, and distribution ratio variable advertisement C, respectively. Further, the banner advertisements distributed based on the real-time variable distribution ratio are respectively illustrated as a real-time distribution ratio variable advertisement A, a real-time distribution ratio variable advertisement B, and a real-time distribution ratio variable advertisement C.

  In this way, the distribution ratio for distributing multiple banner advertisements is distributed in addition to the fixed distribution ratio and the variable distribution ratio, and the real-time variable distribution ratio is added to distribute the banner advertisement, thereby delivering the user's real-time response to the banner advertisement. It can be reflected in the ratio.

  Next, a functional configuration of the advertisement distribution system according to the second embodiment will be described. FIG. 14 is a diagram illustrating a functional configuration of the advertisement distribution system according to the second embodiment. Note that functional units having the same functions as the functional units illustrated in FIG. 2 are given the same reference numerals, and detailed descriptions thereof are omitted.

  As shown in FIG. 14, in this advertisement distribution system, user terminal devices 10 a to 10 c, web server devices 20 a to 20 c, an advertisement distribution device 110, and a redirect device 120 are connected via the Internet 30.

  In this advertisement distribution system, an advertisement distribution apparatus 110, a redirect apparatus 120, a history information totaling apparatus 60, an advertisement management database apparatus 130, and an advertisement distribution ratio calculation apparatus 140 are connected via a LAN 90.

  The advertisement distribution device 110 is a device that transmits data to the web server devices 20a to 20c when receiving a request for transmission of banner advertisement data from the web server devices 20a to 20c.

  The difference from the advertisement distribution apparatus 40 of the first embodiment is that, when distributing a banner advertisement belonging to an advertisement set, the advertisement distribution apparatus 110 calculates a distribution ratio considering the real-time variable distribution ratio, and based on the distribution ratio. This is the point of delivery.

  The advertisement distribution apparatus 110 includes a communication unit 111, an advertisement database 112, an advertisement distribution history database 113, a storage unit 114, a real-time fluctuation distribution ratio calculation unit 115, a distribution ratio calculation unit 116, an advertisement distribution processing unit 117, and a control unit 118. .

  The communication unit 111, the advertisement database 112, the advertisement distribution history database 113, and the storage unit 114 are functional units having the same functions as the communication unit 41, the advertisement database 42, the advertisement distribution history database 43, and the storage unit 44 illustrated in FIG. is there.

  The real-time fluctuation distribution ratio calculation unit 115 reads the advertisement distribution history data 430 stored in the advertisement distribution history database 113, acquires the click history data 530 stored in the click history database 123 of the redirect device 120, and performs real-time processing. Calculate the variable distribution ratio.

Specifically, the real-time variable distribution ratio calculation unit 115 calculates the real-time variable distribution ratio of each banner advertisement belonging to the advertisement set according to Equation 5 shown below.
(Real-time variable distribution ratio of banner advertisement i belonging to the advertisement set)
= (Click-through rate on the day of banner ad i)
/ (Sum of click-through rate for each banner ad belonging to the ad set on the day)
× (the sum of the distribution ratio of each banner advertisement belonging to the current advertisement set). . . (Formula 5)

Here, the click-through rate on the day of the banner advertisement i is calculated by Expression 6 shown below.
(Click-through rate for banner ad i on the day)
= (Number of times banner ad i was clicked by the user on the day)
/ (Number of times banner advertisement i was delivered on the day) . . (Formula 6)

For example, three banner advertisements belong to an advertisement set, the number of times each banner advertisement is delivered on the day is 10, 15 and 20, and the number of times each banner advertisement is clicked by the user on the day is 1, Assuming 3 and 1 time, the click-through rate for each banner ad on that day is
1/10 = 0.1,
3/15 = 0.2,
1/20 = 0.05,
It becomes.

Also, assuming that the distribution ratios of the three banner advertisements belonging to the advertisement set at present are 50, 100, and 70, the real-time variable distribution ratio of each banner advertisement belonging to the advertisement set according to Equation 5 is
0.1 / (0.1 + 0.2 + 0.05) × (50 + 100 + 70) = 62.9,
0.2 / (0.1 + 0.2 + 0.05) × (50 + 100 + 70) = 12.5,
0.05 / (0.1 + 0.2 + 0.05) × (50 + 100 + 70) = 31.4,
It becomes.

  The distribution ratio calculation unit 116 acquires information on the fixed distribution ratio and the variable distribution ratio calculated by the advertisement distribution ratio calculation apparatus 140 from the advertisement distribution ratio database 135 of the advertisement management database apparatus 130.

  The distribution ratio calculation unit 116 then distributes the banner advertisements belonging to the advertisement set based on the information acquired from the advertisement distribution ratio database 135 and the real-time variable distribution ratio calculated by the real-time variable distribution ratio calculation unit 115. Is calculated and stored in the storage unit 114. Further, the distribution ratio calculation unit 116 transmits the calculated distribution ratio to the advertisement management database device 130 and stores it in the advertisement distribution ratio database 135.

Specifically, the distribution ratio calculation unit 116 calculates the distribution ratio according to Expression 7 shown below.
(Delivery ratio of banner advertisement i belonging to the advertisement set)
= (Fixed distribution ratio of banner advertisement i belonging to the advertisement set)
+ (Variable distribution ratio of banner advertisement i belonging to the advertisement set)
+ (Real-time variable distribution ratio of banner advertisement i belonging to the advertisement set). . . (Formula 7)

For example, three banner advertisements belong to the advertisement set, the fixed distribution ratio of each banner advertisement is 22.2, 22.2 and 22.2, and the variable distribution ratio of each banner advertisement is 33.3, 16.7 and 50.0, and the real-time variable distribution ratio of each banner ad is 62.9, 125.7 and 31.4, the distribution ratio of each banner ad is
22.2 + 33.3 + 62.9 = 118.4
22.2 + 16.7 + 125.7 = 164.6
22.2 + 50.0 + 31.4 = 103.6
It becomes. That is, the three banner advertisements belonging to this advertisement set are distributed at a ratio of 118.4: 164.6: 103.6.

  The advertisement distribution processing unit 117 reads the distribution ratio information calculated by the distribution ratio calculation unit 116 from the storage unit 114, selects a banner advertisement to be distributed so that the actual distribution ratio approaches the distribution ratio, and selects the selected banner The advertisement data is transmitted to the web server devices 20a to 20c. The control unit 118 is a control unit that controls the advertisement distribution apparatus 110 as a whole, and controls data exchange between the functional units.

  When the banner advertisement on the web page output to the user terminal devices 10a to 10c is clicked with a mouse or the like, the redirect device 120 displays the URL information of the advertiser's web page linked to the banner advertisement as the user terminal device. Processing to transmit to 10a to 10c is performed.

  In addition, when the banner advertisement on the web page is clicked with a mouse or the like, the redirect device 120 reads the click history data stored in the click history database 123 and calculates the real-time variable distribution ratio from the data. Processing to transmit to the distribution apparatus 110 is performed.

  The redirect device 120 includes a communication unit 121, a redirect URL database 122, a click history database 123, a storage unit 124, a redirect processing unit 125, a click information collection unit 126, a click information notification unit 127, and a control unit 128.

  The communication unit 121, the redirect URL database 122, the click history database 123, the storage unit 124, the redirect processing unit 125, and the click information collection unit 126 are the communication unit 51, the redirect URL database 52, the click history database 53, and the storage shown in FIG. This is a functional unit having the same functions as the unit 54, the redirect processing unit 55, and the click information collection unit 56.

  The click information notification unit 127 performs a process of reading the click history data 530 stored in the click history database 123 and transmitting it to the advertisement distribution device 110 when a banner advertisement is clicked by the user. The advertisement distribution apparatus 110 calculates a real-time variable distribution ratio based on the click history data 530.

  The control unit 128 is a control unit that controls the redirect device 120 as a whole, and controls data exchange between the functional units.

  The communication unit 61, the storage unit 62, and the history information totaling unit 63 included in the history information totaling device 60 and the history information totaling device 60 are configured to communicate with the history information totaling device 60 and the history information totaling device 60 illustrated in FIG. This corresponds to the functional units of the unit 61, the storage unit 62, and the history information totaling unit 63.

  The advertisement management database device 130 is a database that stores distribution conditions and distribution ratios of banner advertisements in the advertisement set, information on web pages on which advertisements are posted, and the like. The advertisement management database device 130 includes a communication unit 131, a storage unit 132, an advertisement management database 133, an advertisement distribution web page database 134, an advertisement distribution ratio database 135, and a control unit 136.

  The communication unit 131, the storage unit 132, the advertisement management database 133, and the advertisement posting web page database 134 have the same functions as the communication unit 71, the storage unit 72, the advertisement management database 73, and the advertisement distribution web page database 74 shown in FIG. It is a functional part having.

  The advertisement distribution ratio database 135 stores the distribution ratio of each banner advertisement belonging to the advertisement set. This distribution ratio is calculated by the advertisement distribution ratio calculation device 140 and the advertisement distribution device 110.

  FIG. 15 is a diagram illustrating an example of advertisement distribution ratio data 1350 stored in the advertisement distribution ratio database 135. As shown in FIG. 15, the advertisement distribution ratio data 1350 stores data of an advertisement set ID, an advertisement ID, a fixed distribution ratio, a variable distribution ratio, a real-time variable distribution ratio, and a distribution ratio.

  The data of the advertisement set ID, advertisement ID, fixed distribution ratio, and variable distribution ratio is the same as the data of the advertisement set ID, advertisement ID, fixed distribution ratio, and variable distribution ratio of the advertisement distribution ratio data 750 shown in FIG. is there.

  The real-time variable distribution ratio and the distribution ratio data store the real-time variable distribution ratio and distribution ratio calculated by the real-time variable distribution ratio calculation unit 115 and the distribution ratio calculation unit 116 of the advertisement distribution apparatus 110.

  Returning to the description of FIG. 14, the control unit 136 is a control unit that controls the advertisement management database device 130 as a whole, and controls data exchange between the functional units.

  The advertisement distribution ratio calculation apparatus 140 calculates a fixed distribution ratio and a variable distribution ratio, and transmits the calculated fixed distribution ratio and variable distribution ratio to the advertisement management database apparatus 130. The advertisement distribution ratio calculation apparatus 140 includes a communication unit 141, a storage unit 142, a fixed distribution ratio calculation unit 143, and a variable distribution ratio calculation unit 144.

  The communication unit 141 and the storage unit 142 are functional units having the same functions as the communication unit 81 and the storage unit 82 of the advertisement distribution ratio calculation device 80 illustrated in FIG. The fixed distribution ratio calculation unit 143 calculates the fixed distribution ratio using Expression 1, and transmits the calculation result to the advertisement management database device 130.

  The variable distribution ratio calculation unit 144 calculates the variable distribution ratio using Expression 2 and Expression 3, and transmits the calculation result to the advertisement management database device 130. The control unit 145 is a control unit that totally controls the advertisement distribution ratio calculation device 140, and controls data exchange between the functional units.

  Next, the processing procedure of the advertisement content distribution ratio calculation process according to the second embodiment will be described. FIG. 16 is a flowchart of the process procedure of the advertisement content distribution ratio calculation process according to the second embodiment.

  First, the real-time fluctuation distribution ratio calculation unit 115 of the advertisement distribution device 110 acquires information on the number of distributions and the number of clicks on the day of each banner advertisement belonging to the advertisement set from the click information notification unit 127 of the redirect device 120 (step S201). The click-through rate of each banner advertisement is calculated using Equation 6 (step S202).

  Then, the real-time variable distribution ratio calculation unit 115 acquires information on the distribution ratio of each banner advertisement belonging to the current advertisement set from the advertisement distribution ratio database 135 of the advertisement management database device 130 (Step S203), The real-time variable distribution ratio of each banner advertisement is calculated (step S204).

  Subsequently, the distribution ratio calculation unit 116 calculates the fixed distribution ratio calculated by the fixed distribution ratio calculation unit 143 and the variable distribution ratio calculation unit 144 of the advertisement distribution ratio calculation device 140 from the advertisement distribution ratio database 135 of the advertisement management database device 130. Then, information on the variable distribution ratio is acquired (step S205).

  Then, the distribution ratio calculation unit 116 distributes each banner advertisement according to Expression 7 based on the acquired fixed distribution ratio, variable distribution ratio, and information on the real-time variable distribution ratio calculated by the real-time variable distribution ratio calculation unit 115. A distribution ratio is calculated (step S206), information on the calculated distribution ratio is stored in the storage unit 114 (step S207), and the advertisement content distribution ratio calculation process is terminated.

  Thereafter, when distributing the banner advertisement belonging to the advertisement set, the advertisement distribution processing unit 117 reads the distribution ratio information from the storage unit 114, and selects the banner advertisement to be distributed so that the actual distribution ratio approaches the distribution ratio. Then, the data of the selected banner advertisement is transmitted to the web server devices 20a to 20c. Further, the distribution ratio calculation unit 116 transmits the calculated distribution ratio information to the advertisement management database device 130 and requests to store it in the advertisement distribution ratio database 75.

  As described above, in the second embodiment, the variable distribution ratio calculation unit 144 of the advertisement distribution ratio calculation device 140 and the real-time variable distribution ratio calculation unit 115 of the advertisement distribution device 110 can receive web pages from arbitrary users in the past week. Number of page output requests received, that is, information on the number of clicks on banner advertisements clicked by any user in the past week, and the number of times web page output requests were received from any user on that day, that is, that day Based on the information on the number of clicks on the banner ad clicked by any user, the variable distribution ratio and the real-time variable distribution ratio are calculated. It is possible to calculate an effective distribution ratio in consideration of a short-term reaction tendency.

  In the first or second embodiment, the distribution of advertisement content is controlled by adjusting the distribution ratio of the advertisement content. However, the number of clicks by the user is maximized in the entire web page on which the banner advertisement is distributed. In addition, the distribution ratio of the banner advertisement may be optimized for each type of web page that distributes the banner advertisement.

  Therefore, in the third embodiment, a case will be described in which the banner advertisement distribution ratio is optimized for each type of web page to which the banner advertisement is distributed so that the number of clicks by the user is maximized in the entire web page.

  In general, advertisements are introduced for the purpose of obtaining a “cognitive” effect. Considering the characteristics of the target consumer, if the advertisement customized by the design and appeal content that suits the consumer preference of each product can be introduced, the recognition rate of the product It is predicted that it can be raised.

  Based on such predictions, as a distribution method for enhancing the effectiveness of advertisements on the Internet, many techniques for providing an advertisement distribution system according to attributes such as a user's sex, age, and address have been disclosed ( JP 2002-27369 A, JP 2002-32398 A, JP 2002-132822 A, JP 2002-203119 A, JP 2002-236846 A).

  These technologies are: “Accurately grasp user attributes”, “User distribution is clear by attributes”, “User attribute differences and preference differences”, “Multiple It may be effective in an unrealistic ideal environment such as “collecting advertisements for merchandise together” or “preparing advertisements with distinctly different designs and appeals”.

  However, in practice (especially on the Internet), an unspecified number of users are confused and distributed, and even users who are classified into the same attribute have very different preferences, and advertisements are usually per product. This is one project, and the design of the advertisements is all made by the creators (creators), and the number of accessing users is always tens of millions.

  In a complex system such as the Internet, it is difficult to provide an “advertisement distribution system according to user attributes” that is always effective, from the viewpoint of cost effectiveness. For this reason, the above technology group has not been effectively utilized yet.

  On the other hand, there is a technique aiming to optimize the delivery of customized advertisements by a method for finding an optimal solution for the linear model (see Japanese Patent Application Laid-Open No. 2000-148675). Having the steps of preparing and periodically updating the display rate by the learning system complicates the method and system for providing customized advertisement selection and delivery over the network.

  In addition, the above-mentioned “It is difficult to accurately grasp the user attributes, and even the contacts classified into the same attributes have very different tastes, and the advertisement is usually one product per case. All of the designs of the creators (creators) are creating effective creatives, and the number of users accessing at the same time always exceeds tens of millions. ” There are systems that are suitable for this.

  That is, an advertisement distribution system that simply prepares a plurality of banner advertisements and sequentially selects a banner advertisement to be distributed based on recording data of a distribution result with the aim of increasing the click-through rate of a user (ie, a consumer). is there. For example, DoubleClick, Inc. A system typified by DART by (Double Click) is a distribution system in which a banner advertisement that records the highest click-through rate is selected from among a plurality of prepared banner advertisements.

  When the consumer “knows” the advertiser ’s product, the design of the banner ad is an important point. Instead of obscuring the effect, simply focus on the design of the banner ad, and then reflect the user's preference at that time (ie, the banner ad that is often chosen) simply to adjust the number of times the banner ad is delivered. The purpose of this is to increase the effect of advertisement distribution at a cost and man-hour that is almost the same as that of a conventional banner advertisement (here, such adjustment is referred to as optimization).

  However, it is considered that the simple optimization method may reduce the effect as a result while seeking to improve the effect of advertisement delivery. The simplest example is to distribute only the banner advertisement that recorded the highest click-through rate in the initial distribution of the advertisement banner in the initial distribution period in the remaining distribution period.

  In this case, there may have been a user whose preference was biased due to some influence during the initial distribution period, and the effect could be reduced by exposing this banner advertisement over the remaining distribution period of the advertisement. High nature. This can be compared to the famous difficulty of statistical mechanics in complex systems. That is, it is a case where it is desired to know an optimum state (for example, a state where energy and cost are minimum) in a complex system.

  The characteristic of complex systems is that there is a local or temporary stability point, which is globally unstable. The most likely mistake here is that the state that seems to be locally stable is optimal (only the banner ad that recorded the highest click-through rate in the initial number of banner ad deliveries will be delivered) (Distribute 100% during the period). This method can be lower than the click-through rate that can be reached over the entire banner advertisement distribution period.

  In order to avoid falling to such a local or temporary stability point, not only the initial delivery period, but always optimizing using a click-through rate for a certain period immediately before the advertisement delivery date (sliding window) In addition, not only 100% of the banner advertisements that record the highest click-through rate are distributed, but other banner advertisements can be distributed at a predetermined rate according to the respective click-through rates.

  However, none of the methods avoids the problem of falling to a local stable point in statistical mechanics because it is a simple process in spite of its statistically sufficiently complex system. . In other words, even though the system has a local stable point, only the effect is sought without considering the possibility of falling into this.

  Therefore, in special situations where the difference between multiple banner ads is clear, or in special situations where the distribution of user attributes is clear, the optimized and non-optimized banner ads Although it may be possible to achieve excellent results such as champion data compared with the advertising group, the more the number of users and the more complicated the system, the more the effect tends to depend on the chance factor. For the main, it would be confusing to apply such an “optimization” option.

  Also, as a problem before confusion, the champion data prepared by the banner ad distributor is walking alone, without being aware of the existence of the problem. In particular, as in today's case, when a banner advertisement is distributed over an Internet network where a large number of users have gathered, it is difficult to achieve the effect.

  In addition to the method for determining the distribution ratio of banner advertisements, there is a problem in optimizing existing banner advertisement distribution. In other words, the number of distributions is being determined by paying attention to a parameter called click through rate (CTR). FIG. 17 shows the results when two different banner advertisements, Creative A and Creative B, which are input for the purpose of obtaining a cognitive effect, are delivered to three users, respectively, only by the same page view (Page View, PV). Show. FIG. 17 is a diagram for describing a problem in optimization of advertisement distribution.

  As can be seen from this example, one user out of three responded to Creative A (unique click rate = 33.3%) despite the same delivery volume, and three users responded to Creative B. Since there are two people (unique click rate = 66.7%), it is generally considered that Creative B has a higher cognitive effect.

  However, when the number of click-throughs or the click-through rate is used as a reference, the creative A shows a higher performance than the creative B that has obtained a high cognitive effect, because the total number of clicks by the user is larger. From this result, it can be seen that if the number of times Creative A is distributed is increased, the advertiser loses the chance to obtain the recognition effect of the product.

  In the third embodiment, a statistical system represented by Monte Carlo simulation such as a simulated annealing method is used for the purpose of avoiding the problem of falling to a local stable point for a complex system such as the Internet. Introducing special handling enables optimization that is less affected by accidental factors and stably improves the effectiveness of banner advertising.

  In addition, paying attention to the fact that banner advertisements in interactive media are characterized by the fact that banner advertisement distribution history and the reaction of users who viewed banner advertisements can be measured and recorded as a history, may lead to incorrect results. By optimizing by the unique click rate or the number of unique users instead of the click-through number or the click-through rate, the lost chance of obtaining the recognition effect of the product is prevented. Here, the user's reaction is a user's spontaneous behavior indicated by a detectable user.

  The introduction of the above-mentioned statistical treatment and unique click rate or number of unique users can have a decisive impact on the optimization of banner advertisement distribution in interactive media such as the Internet and digital TV.

  However, since the above-mentioned unique indicators are difficult to analyze instantaneously with current computer calculation speeds and algorithms, statistical treatment is also introduced for simple click-through numbers and click-through rates. Thus, optimization that is less affected by accidental elements is possible, and the effect of banner advertisement can be stably improved.

  In addition, a learning engine for optimal adjustment estimation is incorporated to estimate the optimal distribution frequency or optimal distribution ratio of each banner advertisement for increasing the unique click rate or the number of unique users.

  In addition, the same banner advertisement is displayed by checking each user using a function of storing user information in a terminal device on the user side such as a cookie or a database on the distribution side such as a server. A means for controlling the frequency or limiting the number of times to prevent the tiredness of the banner advertisement and controlling the recognition by preventing forgetting by the repeated effect is provided.

  FIG. 18 is a diagram for explaining optimization processing for a banner advertisement distribution ratio according to the third embodiment. Here, the distributed banner advertisements are a plurality of banner advertisements (creatives) created for a certain product or service and having different contents and designs.

  In the third embodiment, the banner advertisement distribution ratio is calculated to control the number of banner advertisements. However, the present invention is not limited to this, and the number of banner advertisements distributed and the frequency of distribution are calculated. The number of banner advertisements may be controlled.

  As shown in FIG. 18, in the third embodiment, when the distribution ratio of a banner advertisement that promotes a certain product or service is calculated, the distribution ratio of the banner advertisement is optimized without considering the type of the web page. Rather than, users who browse various types of web pages such as “Japan-Automobile” and “Japan-Auction” so that the number of unique clicks by the user is maximized in the entire web page to which banner advertisements are distributed. Processing for optimizing the distribution ratio of the banner advertisement when distributing the banner advertisement to (a user having a predetermined characteristic of browsing a specific type of web page) is performed.

  Here, the distribution ratio of the banner advertisement to be distributed to a user having a predetermined characteristic of browsing a specific type of web page is optimized, but the present invention is not limited to this, and other various types It is good also as optimizing the distribution rate of the banner advertisement distributed to the user who has the characteristic.

  When optimizing the banner advertisement distribution ratio without considering the type of web page, the user group browsing the “Japan-Automobile” web page and the user group browsing the “Japan-Auction” web page And ignore the possibility of different preferences for banner advertisements, resulting in fewer clicks.

  On the other hand, if the distribution ratio of the banner advertisement is optimized for each type of web page so that the number of unique clicks by the user is maximized in the entire web page, the number of unique clicks can be dramatically increased. The verification result will be described in detail later.

  Next, a functional configuration of the advertisement distribution system according to the third embodiment will be described. FIG. 19 is a diagram illustrating a functional configuration of the advertisement distribution system according to the third embodiment. Note that functional units similar to those shown in FIG. 2 are denoted by the same reference numerals, and detailed description thereof is omitted.

  As shown in FIG. 19, in this advertisement distribution system, user terminal devices 10 a to 10 c, web server devices 20 a to 20 c, an advertisement distribution device 40, and a redirect device 50 are connected via the Internet 30.

  In this advertisement distribution system, an advertisement distribution apparatus 40, a redirect apparatus 50, a history information totaling apparatus 60, an advertisement management database apparatus 70, and an advertisement distribution ratio calculation apparatus 150 are connected via a LAN 90.

  The user terminal devices 10a to 10c are terminal devices that a user accesses the web server devices 20a to 20c, acquires HTML data of a web page, and outputs the web page to a display.

  The web server devices 20a to 20c are server devices that provide a web page browsing service. When receiving web page browsing requests from the user terminal devices 10a to 10c, the web server devices 20a to 20c transmit HTML data of the web page to the user terminal devices 10a to 10c.

  Moreover, when the browsing request of the web page set to publish the banner advertisement is received from the user terminal devices 10a to 10c, the web server devices 20a to 20c send the banner advertisement data to the advertisement distribution device 40. A request for transmission is made, and processing for transmitting the banner advertisement data acquired from the advertisement distribution device 40 and the HTML data of the web page to the user terminal devices 10a to 10c is performed.

  The advertisement distribution device 40 is a device that transmits data to the web server devices 20a to 20c when receiving a request for transmission of banner advertisement data from the web server devices 20a to 20c.

  When transmitting a banner advertisement to the web server apparatuses 20a to 20c, the advertisement distribution apparatus 40 acquires information on a distribution ratio when distributing each banner advertisement from the advertisement management database apparatus 70, and uses the distribution ratio information as information on the distribution ratio. Deliver banner ads based on

  The advertisement distribution device 40 includes a communication unit 41, an advertisement database 42, an advertisement distribution history database 43, a storage unit 44, an advertisement distribution processing unit 45, and a control unit 46. These advertisement distribution devices 40 are the communication unit 41, the advertisement database 42, the advertisement distribution history database 43, the storage unit 44, the advertisement distribution processing unit 45, and the control unit 46, which are the communication unit 41, the advertisement database 42, the advertisement shown in FIG. This is a functional unit having the same functions as the distribution history database 43, the storage unit 44, the advertisement distribution processing unit 45, and the control unit 46.

  When the banner advertisement on the web page output to the user terminal devices 10a to 10c is clicked with a mouse or the like, the redirect device 50 receives the URL information of the advertiser's web page linked to the banner advertisement as the user terminal device. Processing to transmit to 10a to 10c is performed. The user terminal devices 10a to 10c use the URL information to acquire HTML data of the advertiser's web page, and output the web page to the display.

  The redirect device 50 includes a communication unit 51, a redirect URL database 52, a click history database 53, a storage unit 54, a redirect processing unit 55, a click information collection unit 56, and a control unit 57. The communication unit 51, the redirect URL database 52, the click history database 53, the storage unit 54, the redirect processing unit 55, the click information collection unit 56, and the control unit 57 are the same as the communication unit 51, the redirect URL database 52, and the click shown in FIG. This is a functional unit having the same functions as the history database 53, the storage unit 54, the redirect processing unit 55, the click information collection unit 56, and the control unit 57.

  However, the click history data stored in the click history database 53 is obtained by adding the data of the user ID to each data of the click history data 530 shown in FIG. FIG. 20 is a diagram illustrating an example of the click history data 530a according to the third embodiment.

  As shown in FIG. 20, the click history data 530a stores data of URL, advertisement ID, click date and time, and user ID. The URL, advertisement ID, and click date / time data are the same as the URL, advertisement ID, and click date / time data described in FIG. The user ID is a user ID that identifies the user who clicked the banner advertisement. Here, as the user ID, a login name when the user logs in to the Internet service, a browser ID included in the cookie, or the like is used.

  The history information totaling device 60 acquires the advertisement distribution history data 430 from the advertisement distribution history database 43 of the advertisement distribution device 40, acquires the click history data 530a from the click history database 53 of the redirect device 50, and distributes the banner advertisement. The number of times and the number of times the user clicked on the banner advertisement is counted.

  The history information totaling device 60 includes a communication unit 61, a storage unit 62, and a history information totaling unit 63. The communication unit 61, the storage unit 62, and the history information totaling unit 63 are functional units having the same functions as the communication unit 61, the storage unit 62, and the history information totaling unit 63 illustrated in FIG.

  However, the history information aggregation result transmitted from the history information aggregation device 60 to the advertisement management database device 70 is obtained by adding data of the number of unique clicks to the aggregation result 600 shown in FIG. FIG. 21 is a diagram illustrating an example of the tabulation result 600a according to the third embodiment.

  As shown in FIG. 21, the total result 600a includes data of advertisement ID, number of already delivered, number of delivered within a week, number of clicks within a week, and number of unique clicks within a week. The data of the advertisement ID, the number of already delivered, the number of delivered times within a week, and the number of clicks within a week are the same as the data of the advertisement ID, the number of delivered times, the number of delivered times within a week, and the number of clicks within a week described in FIG. Is. The number of unique clicks within one week is data of the number of unique clicks within one week of each banner advertisement.

  The advertisement management database device 70 is a database that stores distribution conditions and distribution ratios of banner advertisements in the advertisement set, information on web pages on which advertisements are posted, and the like. The advertisement management database device 70 includes a communication unit 71, a storage unit 72, an advertisement management database 73, an advertisement posting web page database 74, an advertisement distribution ratio database 75, and a control unit 76.

  The communication unit 71, the storage unit 72, the advertisement management database 73, the advertisement insertion web page database 74, the advertisement distribution ratio database 75, and the control unit 76 are the communication unit 71, the storage unit 72, the advertisement management database 73, This is a functional unit having the same functions as the advertisement posting web page database 74, the advertisement distribution ratio database 75, and the control unit 76.

  However, the advertisement management data stored in the advertisement management database 73 is obtained by adding the number of unique clicks within one week to each data of the advertisement management data 730 shown in FIG. FIG. 22 is a diagram illustrating an example of the advertisement management data 730a according to the third embodiment.

  As shown in FIG. 22, the advertisement management data 730a includes an advertisement set ID, a URL, a delivery period, a delivery target number, an advertisement ID, the number of already delivered, the number of delivered within a week, the number of clicks within a week, and the unique within a week. Click number data is stored.

  The data of the advertisement set ID, URL, distribution period, number of distribution targets, advertisement ID, number of already distributed, number of distributions within one week, number of clicks within one week, the advertisement group ID, URL, distribution period, distribution described in FIG. This is the same as the data of the target number, advertisement ID, number of already delivered, number of delivered within a week, number of clicks within a week. The number of unique clicks within one week is data of the number of unique clicks within one week of each banner advertisement.

  The advertisement distribution ratio calculation device 150 optimizes the banner advertisement distribution ratio for each type of web page that distributes the banner advertisement so that the number of unique clicks by the user is maximized in the entire web page to which the banner advertisement is distributed. Is calculated. Then, information related to the calculated distribution ratio is transmitted to the advertisement management database device 70.

  The advertisement distribution ratio calculation device 150 includes a communication unit 151, a storage unit 152, a distribution ratio optimization processing unit 153, and a control unit 154. The communication unit 151, the storage unit 152, and the control unit 154 are functional units having functions similar to those of the communication unit 81, the storage unit 82, and the control unit 86 illustrated in FIG.

  The distribution ratio optimization processing unit 153 acquires the advertisement management data 730a and the advertisement insertion web page data 740 shown in FIG. 7 from the advertisement management database device 70, and the banner advertisement in the predetermined target number and distribution period of the banner advertisement. In order to maximize the total number of unique clicks across all web pages to be delivered, the simulated banner method is used to calculate the optimized banner ad delivery ratio for each type of web page that delivers banner ads. Information on the calculated distribution ratio is transmitted to the advertisement management database device 70.

  Here, the banner advertisement for calculating the distribution ratio is a plurality of banner advertisements having the same appeal content but different designs, and the number of distribution of each banner advertisement is controlled by the calculated distribution ratio.

  In the simulated annealing method, the distribution ratio optimization processing unit 153 first sets an initial value of the banner advertisement distribution ratio for each type of web page. Then, the distribution ratio optimization processing unit 153 distributes the banner advertisement based on the initial value, and calculates the total number of unique clicks for the distributed banner advertisement. This total is the sum of the number of unique clicks of the banner advertisement on all types of web pages on which the banner advertisement is posted.

  Then, when the total number of unique clicks has increased, the distribution ratio optimization processing unit 153 employs the distribution ratio of the banner advertisement. Even when the total number of unique clicks is decreasing, the distribution ratio of the banner advertisement in which the total number of unique clicks is decreased is adopted with a certain probability. Thereafter, the distribution ratio of the banner advertisement is randomly changed, and the above process is repeated.

  The distribution ratio optimization processing unit 153 stops calculating the simulated annealing method when the total number of unique clicks hardly changes, and distributes the banner advertisement as an optimized distribution ratio at that time. It will be used for.

  Similarly to the case where the banner advertisement distribution ratio is described in the first or second embodiment, the distribution ratio optimization processing unit 153 responds to a portion that changes according to the number of clicks by the user and the number of clicks by the user. It is calculated separately for parts that do not change.

  Specifically, the distribution ratio optimization processing unit 153 determines the distribution ratio portion that changes according to the number of clicks by the user according to the difference in the number of unique clicks for each web page type by the optimization process as described above. While calculating, the part which does not change according to the number of clicks of a user is calculated as a function of the banner advertisement distribution period and the elapsed days from the distribution start date.

  Further, the distribution ratio optimization processing unit 153 periodically optimizes the distribution ratio of the banner advertisement. This is to cope with the temporal change in the reaction of the user to the banner advertisement.

  In addition, the distribution ratio optimization processing unit 153 has a plurality of sets of banner advertisements having the same appeal content, and when the appeal content is different among each set of banner advertisements, The number of distributions is controlled separately for each group.

  In this way, effective banner ad distribution is achieved by optimizing the distribution ratio of multiple banner ads for each type of web page that delivers banner ads so that the number of unique clicks on the entire web page is maximized. Can be done.

  Note that here, the distribution ratio of banner ads is optimized for each type of web page so that the number of unique clicks on the entire web page is maximized, but optimization is performed so that the unique click rate is maximized. It is good to do.

  Next, the effect when the banner advertisement distribution ratio is optimized for each type of web page will be described with reference to FIGS. 23-1, 23-2, 24-1 and 24-2. 23A and 23B are experimental examples (1) and (2) showing the number of click-throughs when the banner advertisement distribution ratio is optimized without considering the type of the web page. -1 and FIG. 24-2 are experimental examples (1) and (2) showing the number of click-throughs when the banner advertisement distribution ratio is optimized for each type of web page.

  23-1, FIG. 23-2, FIG. 24-1, and FIG. 24-2 show three banner advertisements (Creative1, Creative2, Different content and design) of the same appeal created for a certain product or service. Experimental examples are shown when Creative 3) is posted on six types of web pages (Group A, Group B, Group C, Group D, Group E, Group F) for 10 days.

  In FIG. 23-1, FIG. 23-2, FIG. 24-1, and FIG. 24-2, PV (Page View, page view) represents the number of banner advertisements delivered, and Click represents the delivered banner advertisement. This represents the number of clicks by the user, CTR (Click Through Rate) represents the ratio of the number of clicks (Click) to the number of banner advertisements delivered (PV), and U-Click (Unique-Click) is Represents the number of unique clicks on banner ads measured excluding duplication of users.

  FIG. 25 is a diagram showing the number of unique browsers and the number of distributions in six types of web pages. The number of unique browsers (the number of browsers used when a user browses a banner advertisement) is the largest in group A, and the total number of unique browsers for the six types of web pages is 3,470,589. In addition, the total number of banner advertisements distributed is 52,500,000, and the ratio of the number of distributions distributed to various types of web pages is approximately the ratio of the number of unique browsers in various types of web pages.

  Comparing the experimental results shown in FIGS. 23-1 and 23-2 with the experimental results shown in FIGS. 24-1 and 24-2, the distribution ratio of the banner advertisement is optimized without considering the type of the web page. In this case, the number of unique clicks for the entire 10-day web page was 7,918, whereas when the banner ad distribution ratio was optimized for each type of web page, the 10-day web The number of clicks on the entire page was 9,075, a remarkable increase of about 14.6%.

  When the distribution ratio of banner advertisements is optimized without considering the type of web page, the number of clicks on banner advertisements clicked according to the preference of the dominant group A users with the largest number of unique browsers is the overall optimum. All groups have changed in the same way as group A.

  In this case, the number of banner advertisements that are strongly influenced by the preferences of the users of the group A with respect to the users who browse the web pages of the groups B to F having different preferences from the users who browse the web pages of the group A It is surmised that the optimization of the hindered the increase in unique clicks on the entire web page.

  As described above, in the third embodiment, the history information totaling unit 63 of the history information totaling device 60 totals the number of times the output request for the predetermined web page has been received from an arbitrary user within a predetermined period, The distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 belongs to an arbitrary set of users so as to adjust the total number of requests for outputting a predetermined web page based on the total number of times information. Since the number of banner advertisements delivered to users who browse the various types of banners is controlled, the number of banner advertisements to be delivered is calculated based on the general reaction tendency to banner advertisements of various users. As a result, it is possible to obtain a stable advertising effect while responding to changes in the interest of the user viewing the banner advertisement, and to output a predetermined web page. The total number of requests to be output for a given web page by controlling the number of banner advertisements delivered to users who browse each type of web page in a set of arbitrary users so as to adjust the total number of accepting web pages Can be adjusted effectively.

  In the third embodiment, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 belongs to a set of arbitrary users so that the total number of requests for outputting a predetermined web page is maximized. Since the distribution of the banner advertisement distributed to the user who browses each type of page is controlled, the total number of requests for outputting a predetermined web page can be maximized.

  In the third embodiment, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation apparatus 150 controls the number of distributions a plurality of times according to the temporal change of the user who browses each type of web page. Therefore, it is possible to appropriately cope with a temporal change of a user who browses each type of web page.

  Further, in the third embodiment, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 adjusts the total number of receiving predetermined web page output requests made by an arbitrary user using the simulated annealing method. , Because we decided to control the number of banner advertisements delivered to users who belong to a set of arbitrary users and browse each type of web page, when optimizing the number of banner advertisements delivered The number of distributions can be prevented from falling to a local stable point, and the number of distributions can be optimized effectively.

  Further, in the third embodiment, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation apparatus 150 responds to a change in the output request of a predetermined web page made by a user who browses each type of web page. Since the number of distributions is controlled so that the number of banner advertisement distributions changes, it is possible to appropriately cope with temporal changes in output requests of predetermined web pages.

  In the third embodiment, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculating apparatus 150 receives a request for outputting a predetermined web page from a user who browses each type of web page. Based on the difference in the number of times, we decided to control the part of the number of deliveries that change according to the time change of the output request of the predetermined web page, so the most appropriate banner advertisement at each time point among the multiple banner advertisements It can be controlled to deliver.

  Further, in the third embodiment, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 changes in accordance with the temporal change in the output request of a predetermined web page based on the number of days related to the banner advertisement distribution. Since it was decided to control the part of the number of deliveries that are not performed, the number of banner ad deliveries is appropriately adjusted according to the banner ad delivery period and the number of days elapsed since the delivery start date, while suppressing rapid changes in the number of banner ad deliveries Can be controlled.

  In the third embodiment, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 separately controls the number of distributions for different banner advertisements having the same appeal content. It is possible to increase the appeal effect of the banner advertisement by, for example, distributing a large number of banner advertisements having the highest number of times of accepting an output request for a predetermined web page among a plurality of different banner advertisements having the same appeal content.

  In the third embodiment, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation apparatus 150 controls the number of distributions based on a predetermined condition related to the number of banner advertisement distributions. When there is a limit on the number of distributions, the number of distributions can be controlled so that the number of times an output request for a predetermined web page is received from the user is increased in consideration of the limitation.

  In the third embodiment, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation apparatus 150 controls the number of distributions based on a predetermined condition related to the banner advertisement distribution period. When the distribution period is limited, the number of distributions can be controlled so that the number of times a request for outputting a predetermined web page is received from the user is increased in consideration of the limitation.

  Further, in the third embodiment, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation apparatus 150 is configured so that the number of output requests (unique clicks) of a predetermined web page made by a non-overlapping user is maximized. Since the number of advertisement delivery is controlled, it is possible to effectively enhance the appeal effect of the banner advertisement by avoiding duplication of users.

  In the third embodiment, since the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 controls the number of distributions separately for each banner advertisement having different appeal contents, the banner advertisement having different appeal contents. By appropriately controlling the number of deliveries for each, you can increase the appeal of banner ads

(Modification 1 of Example 3)
In the third embodiment, the banner advertisement distribution ratio is optimized using the simulated annealing method. However, the distribution ratio may be optimized using a learning function in artificial intelligence such as a neural network. Good.

  In this case, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation apparatus 150 illustrated in FIG. 19 uses a neural network to increase the number of unique clicks in the entire web page that distributes the banner advertisement. The distribution ratio of the banner advertisement optimized for each type of web page that distributes the URL is calculated, and information on the calculated distribution ratio is transmitted to the advertisement management database device 70.

  Specifically, the distribution ratio optimization processing unit 153 uses a neural network to limit the relationship between the number of unique clicks in the entire web page to which the banner advertisement is distributed and the distribution ratio of the banner advertisement for each web page type. Learn from individual data.

  Then, the distribution ratio optimization processing unit 153 determines the distribution ratio of the banner advertisement in each type of web page that maximizes the number of unique clicks in the entire web page to which the banner advertisement is distributed based on the result of learning the above relationship. Calculate and control the number of banner advertisement distributions.

  As described above, in the first modification of the third embodiment, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 performs processing for a predetermined web page performed by an arbitrary user through learning using artificial intelligence of the neural network. Since the number of banner advertisements delivered to users who browse a certain type of web page in a set of arbitrary users is adjusted so as to adjust the total number of output requests received, the number of banner advertisements delivered is optimal. Can be effectively performed.

(Modification 2 of Example 3)
In the third embodiment, the distribution ratio of the banner advertisement is optimized so that the number of unique clicks in the entire web page is maximized. However, the banner advertisement with the same appeal content or the same advertisement content is frequently used. When the advertisement is distributed, the user gets tired of seeing the banner advertisement, and there is a problem that the click number does not increase and is saturated.

  Therefore, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 refers to information on the distribution frequency at which the number of clicks by the user does not increase, and performs simulated annealing under the constraint that the distribution frequency is not exceeded. The banner advertisement distribution ratio is calculated for each web page type so that the number of unique clicks in the entire web page is maximized. The information on the distribution frequency at which the number of clicks does not increase is obtained by conducting a survey in advance.

  Also, if the same banner advertisement or the banner advertisement with the same appeal content is distributed too frequently, the user will feel annoying the banner advertisement, and will have negative feelings about the banner advertisement. There's a problem.

  Therefore, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 refers to the information on the upper limit value of the distribution frequency at which the user has a negative feeling for the banner advertisement, and exceeds the upper limit value. The simulated annealing method is executed under the restriction condition that there is not, and the distribution ratio of the banner advertisement for each web page type is calculated so as to maximize the number of unique clicks in the entire web page.

  As described above, in the second modification of the third embodiment, it is determined whether or not the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 is in a state where the number of times to receive an output request for a predetermined web page is saturated. Since the number of distributions is controlled based on the indicated information, the number of distributions can be controlled so as not to increase any more when the number of times of receiving a request for outputting a predetermined web page is saturated.

  In the second modification of the third embodiment, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 sets the predetermined limit value of the number of banner advertisement distributions for which the user is negative with respect to the advertisement browsing. Since the number of distributions is controlled based on such information, the number of banner advertisements can be controlled so that the number of banner advertisement distributions does not exceed a limit value that the user is negative for viewing advertisements. it can.

(Modification 3 of Example 3)
In the third embodiment, the banner advertisement distribution ratio is calculated based on the information on the number of unique clicks. However, the banner advertisement distribution ratio is calculated in consideration of the tendency of the user to forget the banner advertisement. It is good as well.

  Specifically, the information that the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 investigates how long the user forgets the banner advertisement when the banner advertisement is distributed. When a certain amount of time has elapsed after a certain banner advertisement is distributed, the number of banner advertisement distributions is increased by a predetermined percentage to remind the user of the banner advertisement.

  As described above, in the third modification of the third embodiment, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 controls the number of banner advertisements based on the information related to the user's forgetting about the banner advertisement. Therefore, when the user thinks that the user has forgotten the banner advertisement, the advertisement effect of the banner advertisement can be enhanced by increasing the number of banner advertisements delivered.

(Modification 4 of Example 3)
In the third embodiment, the process of calculating the distribution ratio of the banner advertisement and distributing the banner advertisement to the web page is repeated. However, the user has already viewed the same banner advertisement, or the banner advertisement is received from the user. If a distribution rejection request is received, the banner advertisement may not be distributed.

  Here, the distribution rejection request is provided with a button for the user to make a distribution rejection request on the web page where the banner advertisement is posted, and the advertisement distribution is transmitted when the button is clicked with a mouse or the like. Configure the system. Each user can be specified by a user ID input by the user at the time of login, a browser ID included in cookie information transmitted by the browser, or the like.

  Then, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 determines whether or not the user has already browsed the same banner advertisement, and whether or not the distribution rejection request for the banner advertisement has been received from the user. When the user has already viewed the same banner advertisement, or when a distribution rejection request for the banner advertisement is received from the user, the number of banner advertisements to be distributed is set so as to stop the distribution of the banner advertisement to the user.

  In this example, the distribution ratio optimization processing unit 153 sets the number of banner advertisements to stop the distribution of banner advertisements, but instead of suddenly stopping the distribution, It is also possible to dynamically control the number of banner advertisements delivered, for example by temporarily stopping it.

  As described above, in the fourth modification of the third embodiment, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation apparatus 150 relates to the user's reaction to the distributed banner advertisement when the banner advertisement is distributed. When information is acquired and the user's reaction is a specific reaction, the setting related to the control of the number of banner advertisements is changed, so when the user shows a specific reaction, It is possible to appropriately control the number of banner advertisements to be delivered.

  Further, in the fourth modification of the third embodiment, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 stops the distribution of the banner advertisement when the user's reaction is a specific reaction. Since the setting related to the control of the number of distributions is changed, it is possible to prevent the same banner advertisement from being distributed again to a user who once viewed a banner advertisement, a user who has requested distribution rejection, or the like.

(Modification 5 of Example 3)
In the third embodiment, the user terminal devices 10a to 10c are terminal devices that output web pages to the display. Specifically, the user terminal devices 10a to 10c can be connected to the Internet 30. Devices such as personal computers, mobile phones, and television receivers.

  When using a personal computer, the user clicks on a banner advertisement using an input device such as a mouse. When using a mobile phone, the user selects a banner advertisement by pressing a button or the like. When using, a banner advertisement is designated by using a remote controller or the like that controls the function of the television receiver, thereby requesting to display an advertiser's web page linked to the banner advertisement.

  Then, the history information totaling unit 63 of the history information totaling device 60 counts the number of times that the banner advertisement is clicked, selected, or designated using each device, and distributes the banner advertisement made by the advertisement distribution ratio calculating device 150. Create data for ratio calculation.

  As described above, in the fifth modification of the third embodiment, the history information totaling unit 63 of the history information totaling apparatus 60 is an information input device, a mobile phone, or a television receiver in which an arbitrary user inputs information to the computer. Since we decided to count the number of times a web page output request made using a remote controller that controls the function was received, the web page output request entered using various devices was This can be reflected in the control of the number of distributions.

(Modification 6 of Example 3)
In the third embodiment, the banner advertisement distribution ratio is optimized so that the number of unique clicks in the entire web page is maximized, and the banner advertisement distribution cost is further reduced to a predetermined cost or less. It is good also as optimizing the distribution ratio of an advertisement.

  Here, the distribution cost is a banner advertisement distribution fee that the advertiser should pay to the advertisement distributor when distributing a banner advertisement. Each time a banner advertisement is distributed, a predetermined amount is paid according to the type of banner advertisement. Is charged as a delivery cost.

  Specifically, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 executes the simulated annealing method under a predetermined distribution cost constraint condition, and the number of unique clicks in the entire web page is maximized. The distribution ratio of the banner advertisement for each web page type is calculated.

  As described above, in the sixth modification of the third embodiment, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation apparatus 150 sets the number of banner advertisements to be distributed so as to satisfy a predetermined condition related to the banner advertisement distribution cost. Since the control is performed, when the distribution cost is limited, the number of banner advertisements can be controlled in consideration of the limitation.

(Modification 7 of Example 3)
In the third embodiment, the distribution ratio is calculated without considering the type of banner advertisement. However, the number of cognitive banner advertisements that allow the user to recognize the existence of something and the purchase of products and services are determined. The number of acquisition-type banner advertisements urged by the user may be controlled separately.

  This is because the nature of the banner advertisement differs between the cognitive banner advertisement and the acquisition banner advertisement. In other words, cognitive banner ads are more effective when viewed by as many users as possible, whereas acquisition-type banner ads do not necessarily lead to the purchase of products and services even if they are viewed by too many users. is there.

  Therefore, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 separately controls the number of recognition banner advertisements and the number of acquisition banner advertisements, thereby recognizing the recognition banner advertisement and the acquisition type. Address the nature differences between banner ads.

  As described above, in the modified example 7 of the third embodiment, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 controls the number of banner advertisements distributed according to the feature of each banner advertisement. When the user's response to the banner advertisement varies depending on the characteristics of the banner advertisement, the number of banner advertisements delivered can be controlled so that a favorable reaction is obtained from the user.

  Further, in the modified example 7 of the third embodiment, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 allows the user to recognize the presence of a certain type of distribution and to purchase a certain type of banner advertisement. Since the number of acquisition-type banner advertisements urged to be controlled separately is controlled, the number of recognition-type banner advertisements and acquisition-type banner advertisements can be controlled so that a favorable reaction can be obtained from the user.

(Modification 8 of Example 3)
In the third embodiment, the distribution ratio of the banner advertisement is calculated for each type of the web page so that the number of unique clicks is maximized in the entire web page in the predetermined number of banner advertisements and the distribution period. However, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 calculates the distribution ratio of the banner advertisement for each type of web page so that the recognition rate of the banner advertisement in the entire web page is maximized. It is good. This recognition rate is measured by conducting a questionnaire survey or the like on the Internet.

  In addition, the distribution ratio optimization processing unit 153 maximizes the number of unique clicks or the recognition rate of the banner advertisement in the entire web page when there is a difference in the nature of the banner advertisement such as a recognition banner advertisement or an acquisition banner advertisement. As described above, the number of distributions of cognitive banner advertisements and the number of distributions of acquisition banner advertisements may be controlled separately to deal with differences in properties such as recognition banner advertisements and acquisition banner advertisements.

  As described above, in the modified example 8 of the third embodiment, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 has the highest recognition rate, which is the ratio at which the content promoted by the banner advertisement is recognized by the user. Since the number of banner advertisements is controlled so as to become, the recognition rate can be effectively increased.

(Modification 9 of Example 3)
In the third embodiment, the number of distribution of banner advertisements is controlled based on information on the number of unique clicks in banner advertisements on the Internet. However, advertisements with the same appeal content may be televisions, radios, newspapers, magazines. When the information is broadcasted or published on an advertising medium other than the banner advertisement, the number of banner advertisements may be controlled in consideration of the influence.

  Specifically, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation apparatus 150 refers to information related to the influence between a plurality of advertisement media, executes a simulated annealing method using the information as a constraint, and a web page The number of banner advertisements distributed for each web page type is controlled so that the total number of unique clicks is maximized.

  Here, the information related to the influence between multiple advertising media refers to the banner advertising on the Internet when the advertising is broadcast or posted on advertising media other than banner advertising such as television, radio, newspaper, magazine, etc. This is information such as the effect on the number of clicks by the user. For example, when the advertisement is broadcast on the television, the number of clicks of the user in the banner advertisement of a predetermined web page type increases by 10%.

  As described above, in the ninth modification of the third embodiment, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation apparatus 150 performs the advertisement content based on the information related to the advertisement recognition interaction among the plurality of advertisement media. Since the number of distributions is controlled, the user can output a predetermined web page in consideration of the effect that advertisements broadcast or posted on TV, radio, newspapers, magazines, etc. have on banner ads posted on the web page. The number of distributions can be controlled so that the number of times a request is received increases.

(Modification 10 of Example 3)
In the third embodiment, the number of banner advertisements to be viewed by the user is controlled regardless of whether the attributes such as the user's age and gender can be specified. The number of distributions may be controlled separately for banner advertisements distributed to users who can be identified as users having attributes and banner advertisements distributed to users who are not identified.

  Here, the attribute of the user can be acquired when cookie information is transmitted by the user terminal device when the banner advertisement is clicked by the user. Alternatively, the user attribute is stored in the database in association with the user ID or the browser ID, and when the user logs in to the Internet service using the user ID, or the user uses the browser having the browser ID to When the page is accessed and the browser ID is obtained from the browser, the user attribute can be specified.

  That is, in this example, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 can acquire the user's attributes, and the user can specify that the advertiser has the attribute to be advertised. The number of distributions is controlled separately for a banner advertisement to be distributed and a banner advertisement to be distributed to a user for whom the advertisement is not specified.

  In particular, when distributing acquisition-type banner advertisements, the number of unique clicks by users who can be identified as users who have the attributes that advertisers want to appeal to in order to effectively guide users to purchase products and services To maximize.

  In other words, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 collects information on the number of unique clicks of a user that can be identified as a user who has an attribute targeted by the advertiser, and performs a simulated annealing method. Used to calculate the banner advertisement distribution ratio for each web page type.

  As described above, in the tenth modification of the third embodiment, the banner advertisement that the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 distributes to the user who is identified as the target of the banner advertisement. Since the number of distributions is controlled separately for banner advertisements distributed to users who are not identified as being targeted for banner advertisements, for users identified as being targeted for banner advertisements For example, the number of delivery requests for a predetermined web page from the user can be increased by controlling the number of distributions more finely.

  Further, in the tenth modification of the third embodiment, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 outputs a predetermined web page from a user who does not overlap the acquisition-type banner advertisement that prompts the user to purchase something. Since the number of banner advertisements distributed is controlled based on the number of received requests, the distribution of banner advertisements can be effectively controlled so as to increase the appeal effect of the acquisition-type banner advertisement.

(Modification 11 of Example 3)
In the third embodiment, the distribution ratio of each banner advertisement is controlled by calculating the distribution ratio of a plurality of banner advertisements. However, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 is configured as follows. The number of distributions and distribution frequency for a single banner advertisement may be calculated to control the number of distributions of a single banner advertisement.

  As described above, in the modified example 11 of the third embodiment, the distribution ratio optimization processing unit 153 of the advertisement distribution ratio calculation device 150 controls the number of distributions for a single advertisement content. By controlling the number of distributions for the content, it is possible to effectively adjust the total number of requests for outputting a predetermined web page.

(Other)
As described above, in the above-described embodiment, the case where the advertisement content distribution ratio calculation process or the advertisement content distribution control process is realized on the computer has been described, but the program for realizing the advertisement content distribution ratio calculation process or the advertisement content distribution control process May be recorded on a computer-readable recording medium, and a program recorded on the recording medium may be read by the computer and executed to implement the advertisement content distribution ratio calculation process or the advertisement content distribution control process.

  FIG. 26 is a block diagram illustrating a hardware configuration of a computer 200 that realizes an advertisement content distribution ratio calculation process or an advertisement content distribution control process. As shown in FIG. 26, the computer 200 includes a CPU 210 that executes the program, an input device 220 that inputs data, a ROM 230 that stores various data, a RAM 240 that stores calculation parameters and the like, and an advertising content distribution ratio. Data between the reading device 250 that reads the program from the recording medium 300 that records the program for realizing the calculation processing or the advertising content distribution control processing, the output device 260 such as a display, and another computer via the network 400 Is connected to a network interface 270 that exchanges data via the bus 280.

  The CPU 210 reads the program recorded on the recording medium 300 via the reading device 250 and then executes the program, thereby realizing the advertisement content distribution ratio calculation process or the advertisement content distribution control process. Examples of the recording medium 300 include an optical disk, a flexible disk, a CD-ROM, and a hard disk. Further, this program may be installed in the computer 200 via the network 400.

  Although the embodiments of the present invention have been described so far, the present invention may be implemented in various different embodiments in addition to the above-described embodiments within the scope of the technical idea described in the claims. It ’s good.

  In addition, among the processes described in this embodiment, all or part of the processes described as being performed automatically can be performed manually, or the processes described as being performed manually can be performed. All or a part can be automatically performed by a known method. In addition, the processing procedure, control procedure, specific name, and information including various data and parameters shown in the above-mentioned document and drawings can be arbitrarily changed unless otherwise specified.

  Each component of each illustrated device is functionally conceptual and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution / integration of each device is not limited to that shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. Can be integrated and configured.

  Furthermore, all or some of the processing functions performed in each device may be realized by a CPU and a program that is analyzed and executed by the CPU, or may be realized as hardware by wired logic.

  As described above, the advertising content distribution ratio calculation program, the advertising content distribution ratio calculation method, the advertising content distribution ratio calculation system, the content distribution control system, the advertising content distribution control system, the advertising content distribution control method, and the advertising content distribution according to the present invention. The control program is useful for a system that needs to obtain a stable advertising effect while preventing changes in the interest of the user who sees the advertising content, and to prevent the loss of the chance to obtain the recognition effect of the product.

It is a figure explaining the concept of the advertising content delivery ratio calculation process which concerns on Example 1. FIG. 1 is a diagram illustrating a functional configuration of an advertisement distribution system according to Embodiment 1. FIG. It is a figure which shows an example of the advertisement delivery history data 430 memorize | stored in the advertisement delivery database 43. FIG. 6 is a diagram illustrating an example of click history data 530 stored in a click history database 53. FIG. It is a figure which shows an example of the total result 600 of the delivery number of a banner advertisement, and the click frequency | count of a banner advertisement. It is a figure which shows an example of the advertisement management data 730 memorize | stored by the advertisement management database apparatus 70. FIG. It is a figure which shows an example of the advertisement insertion web page data 740 memorize | stored in the advertisement insertion web page database 74. FIG. It is a figure which shows an example of the advertisement delivery ratio data 750 memorize | stored in the advertisement delivery ratio database. 6 is a flowchart illustrating a processing procedure of advertising content distribution ratio calculation processing according to the first embodiment. It is a figure which shows an example of the distribution ratio calculation result 100 calculated by the advertising content distribution ratio calculation process. It is a figure which shows an example of the advertisement delivery ratio data 750a calculated for every kind of web page. It is a figure which shows an example of the advertisement delivery ratio data 750b calculated for every classification and time slot | zone of a web page. It is a figure explaining the concept of the advertising content delivery ratio calculation process which concerns on Example 2. FIG. It is a figure which shows the functional structure of the advertisement delivery system which concerns on Example 2. FIG. It is a figure which shows an example of the advertisement delivery ratio data 1350 memorize | stored in the advertisement delivery ratio database. 12 is a flowchart illustrating a processing procedure of advertising content distribution ratio calculation processing according to the second embodiment. It is a figure explaining the subject in optimization of advertisement distribution. It is a figure explaining the optimization process of the delivery ratio of the banner advertisement which concerns on Example 3. FIG. It is a figure which shows the functional structure of the advertisement delivery system which concerns on Example 3. FIG. It is a figure which shows an example of the click history data 530a which concerns on Example 3. FIG. It is a figure which shows an example of the total result 600a which concerns on Example 3. FIG. It is a figure which shows an example of the advertisement management data 730a which concerns on Example 3. FIG. It is a figure which shows the experiment example (1) which shows the click-through number at the time of optimizing the delivery ratio of a banner advertisement, without considering the classification of a web page. It is a figure which shows the experiment example (2) which shows the click-through number at the time of optimizing the delivery ratio of a banner advertisement, without considering the classification of a web page. It is a figure which shows the experiment example (1) which shows the click-through number at the time of optimizing the delivery ratio of a banner advertisement for every classification of a web page. It is a figure which shows the experiment example (2) which shows the number of click throughs at the time of optimizing the delivery ratio of a banner advertisement for every classification of a web page. It is a figure which shows the number of unique browsers and the number of distribution in six types of web pages. FIG. 3 is a block diagram illustrating a hardware configuration of a computer 200 that realizes an advertisement content distribution ratio calculation process or an advertisement content distribution control process.

Explanation of symbols

10a to 10c User terminal device 100 Distribution ratio calculation result 115 Real-time fluctuation distribution ratio calculation unit 116 Distribution ratio calculation unit 127 Click information notification unit 153 Distribution ratio optimization processing unit 20a to 20c Web server device 30 Internet 40, 110 Advertisement distribution device 41 , 111 Communication unit 42, 112 Advertisement database 43, 113 Advertisement distribution history database 430 Advertisement distribution history data 44, 114 Storage unit 45, 117 Advertisement distribution processing unit 46, 118 Control unit 50, 120 Redirect device 51, 121 Communication unit 52, 122 Redirect URL database 53, 123 Click history database 530, 530a Click history data 54, 124 Storage unit 55, 125 Redirect processing unit 56, 126 Click information collection unit 5 , 128 Control unit 60 History information totaling device 600, 600a Totaling result 61 Communication unit 62 Storage unit 63 History information totaling unit 64 Control unit 70, 130 Advertisement management database device 71, 131 Communication unit 72, 132 Storage unit 73, 133 Advertisement management Database 730, 730a Advertising management data 74, 134 Advertising web page database 740 Advertising web page data 75, 135 Advertising distribution ratio database 750, 750a, 750b, 1350 Advertising distribution ratio data 76, 136 Control unit 80, 140, 150 Advertising Distribution ratio calculation device 81, 141, 151 Communication unit 82, 142, 152 Storage unit 83, 143 Fixed distribution ratio calculation unit 84, 144 Variable distribution ratio calculation unit 85 Distribution ratio calculation unit 86, 154 Control unit 90 LAN

Claims (78)

An advertisement content distribution ratio calculation program for calculating a distribution ratio of each advertisement content when a plurality of advertisement contents that accept an output request for a predetermined web page from a user are distributed,
A count counting procedure for counting the number of times an output request for the predetermined web page is received from an arbitrary user within a predetermined period;
A distribution ratio calculation procedure for calculating a distribution ratio of each advertising content based on the information on the number of times counted by the number counting procedure;
An advertisement content distribution ratio calculation program that causes a computer to execute the above.   In the distribution ratio calculation procedure, based on the information on the number of times counted by the number counting procedure, the first ratio portion where the ratio of distributing each advertising content is constant, and the ratio of distributing each advertising content is time 2. The advertisement content distribution ratio calculation program according to claim 1, wherein a distribution ratio including a second ratio portion that changes with progress is calculated.   3. The advertisement content distribution ratio calculation program according to claim 2, wherein the distribution ratio calculation procedure calculates the distribution ratio so that the first ratio portion decreases as time elapses from the start of distribution of each advertisement content. .   The distribution ratio calculation procedure calculates a second ratio portion based on information on the number of times an output request for the predetermined web page has been received from an arbitrary user in a plurality of different length periods. Item 4. The advertising content distribution ratio calculation program according to item 1, 2 or 3.   5. The advertisement content distribution ratio according to claim 1, wherein the distribution ratio calculation procedure calculates the distribution ratio for each type of web page on which the distributed advertisement content is posted. Calculation program.   The advertising content distribution ratio calculation program according to claim 1, wherein the distribution ratio calculation procedure calculates the distribution ratio for each predetermined time period. An advertisement content distribution ratio calculation method for calculating a distribution ratio of each advertisement content when a plurality of advertisement contents for receiving an output request for a predetermined web page is distributed from a user,
A number counting step of counting the number of times the output request for the predetermined web page is received from an arbitrary user within a predetermined period;
A distribution ratio calculating step of calculating a distribution ratio of each advertising content based on the information of the number of times counted by the number counting step;
An advertising content distribution ratio calculation method comprising:   In the distribution ratio calculation step, based on the information on the number of times counted in the number counting step, the first ratio portion where the ratio of distributing each advertisement content is constant, and the ratio of distributing each advertisement content is time The advertisement content distribution ratio calculation method according to claim 7, wherein a distribution ratio including a second ratio portion that changes with progress is calculated.   9. The advertisement content distribution ratio calculation method according to claim 8, wherein the distribution ratio calculation step calculates the distribution ratio so that the first ratio portion decreases as time elapses from the start of distribution of each advertisement content. .   The distribution ratio calculating step calculates a second ratio portion based on information on the number of times an output request for the predetermined web page has been received from an arbitrary user in a plurality of different length periods. Item 10. The advertising content distribution ratio calculation method according to Item 7, 8 or 9.   The advertisement content distribution ratio according to claim 7, wherein the distribution ratio calculation step calculates the distribution ratio for each type of web page on which the distributed advertisement content is posted. Calculation method.   The advertising content distribution ratio calculation method according to any one of claims 7 to 11, wherein the distribution ratio calculation step calculates the distribution ratio for each predetermined time period. An advertisement content distribution ratio calculation system that calculates a distribution ratio of each advertisement content when a plurality of advertisement contents that accept an output request for a predetermined web page from a user are distributed,
A time counting means for counting the number of times the output request for the predetermined web page is received from an arbitrary user within a predetermined period;
A distribution ratio calculating means for calculating a distribution ratio of each advertising content based on the number of times information counted by the number counting means;
An advertising content distribution ratio calculation system comprising:   The distribution ratio calculation means includes a first ratio portion in which the ratio of distributing each advertising content is constant based on the information on the number of times counted by the number counting means, and the ratio in which each advertising content is distributed 14. The advertising content distribution ratio calculation system according to claim 13, wherein a distribution ratio composed of a second ratio portion that changes with progress is calculated.   The advertisement content distribution ratio calculation system according to claim 14, wherein the distribution ratio calculation means calculates the distribution ratio so that the first ratio portion becomes smaller as time elapses from the start of distribution of each advertisement content. .   The distribution ratio calculating means calculates a second ratio portion based on information on the number of times an output request for the predetermined web page has been received from an arbitrary user in a plurality of different length periods. Item 16. The advertising content distribution ratio calculation system according to item 13, 14 or 15.   The advertisement content distribution ratio according to any one of claims 13 to 16, wherein the distribution ratio calculation means calculates the distribution ratio for each type of web page on which the distributed advertisement content is posted. Calculation system.   The advertising content distribution ratio calculation system according to any one of claims 13 to 17, wherein the distribution ratio calculation means calculates the distribution ratio for each predetermined time period. A content distribution control system that controls the number of content distributions when content that accepts user responses is distributed,
Number counting means for counting the number of times the predetermined reaction is received from any user within a predetermined period;
Distribution control means for controlling the number of contents distributed to users having a predetermined characteristic in a set of arbitrary users so as to adjust the total number of predetermined reactions based on the number of times information counted by the number counting means. When,
A content distribution control system comprising:   The distribution control unit controls distribution of content distributed to a user having a predetermined characteristic in an arbitrary set of users so that the total number of the predetermined reactions is maximized. Content delivery control system.   The number counting means accepts a predetermined reaction from an arbitrary user that occurs through an operation of an information input device that inputs information to a computer, a mobile phone, or a remote controller that controls the function of a television receiver. 21. The content distribution control system according to claim 19 or 20, wherein the number of times is counted. An advertisement content distribution control system that controls the number of advertisement content distributions when an advertisement content that receives an output request for a predetermined web page is distributed from a user,
A time counting means for counting the number of times the output request for the predetermined web page is received from an arbitrary user within a predetermined period;
Number of advertisement contents distributed to a user having a predetermined characteristic in a set of arbitrary users so as to adjust the total number of requests to be output for a predetermined web page based on the number of times information counted by the number counting means Delivery control means for controlling
An advertising content distribution control system comprising:   The distribution control means controls distribution of advertisement content distributed to a user having a predetermined characteristic in a set of arbitrary users so that the total number of requests for outputting the predetermined web page is maximized. The advertising content distribution control system according to claim 22.   24. The advertising content distribution control system according to claim 22 or 23, wherein the distribution control means controls the number of distributions a plurality of times in accordance with a user's temporal change of the predetermined characteristic.   The number-of-times counting means accepts an output request for a predetermined web page made by using an information input device for inputting information to a computer, a mobile phone, or a remote controller for controlling functions of a television receiver. 25. The advertising content distribution control system according to claim 22, 23 or 24, wherein the number of times is totaled.   The distribution control means is an advertisement content distributed to a user having a predetermined characteristic in a set of arbitrary users so as to adjust the total number of requests for output of the predetermined web page made by an arbitrary user by Monte Carlo simulation. 23. The advertising content distribution control system according to claim 22, wherein the number of distributions is controlled.   The distribution control means distributes to a user having a predetermined characteristic in a set of arbitrary users so as to adjust the total number of receiving the output request of the predetermined web page made by an arbitrary user through learning using artificial intelligence. 23. The advertising content distribution control system according to claim 22, wherein the number of advertising content distributions to be controlled is controlled.   The distribution control means controls the number of distributions so that the number of distributions of the advertisement content changes according to a temporal change in an output request of the predetermined web page made by a user having the predetermined characteristic. Item 28. The advertising content distribution control system according to any one of Items 22 to 27.   The distribution control means performs a portion in which the number of distributions of the advertising content changes according to a temporal change in the output request of the predetermined web page made by the user having the predetermined characteristic, and the user having the predetermined characteristic performs The advertising content distribution control system according to any one of claims 22 to 27, wherein the control is divided into a portion that does not change according to a temporal change in the output request of the predetermined web page.   The distribution control means is configured to respond to a temporal change in the output request for the predetermined web page based on a difference in the number of times that a plurality of advertisement contents have received an output request for the predetermined web page from a user having the predetermined characteristic. 30. The advertising content distribution control system according to claim 29, wherein a portion of the distribution number that changes is controlled.   30. The distribution control means controls a portion of the number of distributions that does not change according to a temporal change in the output request of the predetermined web page based on the number of days related to the distribution of the advertising content. 30. The advertisement content distribution control system according to 30 and 30.   The advertisement content distribution according to any one of claims 22 to 31, wherein the distribution control means controls the number of advertisement content distributions so as to satisfy a predetermined condition relating to a distribution cost of the advertisement content. Control system.   The distribution control means controls the number of distributions based on information indicating whether or not the number of times to accept an output request for the predetermined web page is saturated. The advertising content distribution control system according to any one of the above.   The advertising content distribution control system according to any one of claims 22 to 33, wherein the distribution control means controls the number of distributions of the advertising content according to the feature of each advertising content.   The distribution control means separately controls the number of distributions of cognitive advertising content that allows a user to recognize the presence of something and the number of distributions of acquisition-type advertising content that prompts the user to purchase something. 34. The advertising content distribution control system according to 34.   36. The advertisement content distribution control system according to any one of claims 22 to 35, wherein the distribution control unit separately controls the number of distributions for a plurality of different advertisement contents having the same appeal content. .   37. The delivery control unit according to claim 22, wherein the delivery control unit controls the number of deliverys of advertisement content so that the number of output requests for a predetermined web page made by a non-overlapping user is maximized. The advertising content delivery control system described.   The said delivery control means controls the number of delivery of advertising content so that the recognition rate which is the rate by which the content appealed by the said advertising content is recognized by the user becomes the maximum. The advertising content distribution control system according to any one of the above.   The advertisement according to any one of claims 22 to 38, wherein the distribution control means controls the number of advertisement contents distributed based on information related to advertisement recognition interaction among a plurality of advertisement media. Content distribution control system.   The advertisement content distribution control system according to any one of claims 22 to 39, wherein the distribution control means controls the number of distributions based on a predetermined condition relating to the number of advertisement content distributions.   The advertising content distribution control system according to any one of claims 22 to 40, wherein the distribution control unit controls the number of distributions based on a predetermined condition relating to a distribution period of the advertising content.   The distribution control means is separately provided for advertising content to be distributed to a user who is identified as a target for advertising content and advertising content to be distributed to a user who is not identified as a target for advertising content. The advertisement content distribution control system according to any one of claims 22 to 41, wherein the number of distributions is controlled.   The distribution control means controls the number of advertisement contents distributed based on the number of times a request for outputting a predetermined web page is received from a user whose acquired advertisement contents prompting the user to purchase a certain item do not overlap. Item 43. The advertising content distribution control system according to any one of Items 22 to 42.   The distribution control means acquires information related to a user's response to the distributed advertising content when the advertising content is distributed, and if the user's response is a specific response, the number of distribution of the advertising content 44. The advertising content distribution control system according to any one of claims 22 to 43, wherein a setting related to the control is changed.   45. The advertisement according to claim 44, wherein the distribution control means changes a setting related to the control of the number of distributions so as to stop the distribution of the advertisement content when the user's reaction is a specific reaction. Content distribution control system.   The advertising content distribution control system according to any one of claims 22 to 45, wherein the distribution control unit separately controls the number of distributions for each advertising content having different appeal contents.   The distribution control means controls the number of distributions of advertisement content based on information related to a predetermined limit value of the number of distributions of advertisement content that the user is negative for browsing the advertisement. 46. The advertising content distribution control system according to any one of 46.   The advertising content distribution control system according to any one of claims 22 to 47, wherein the distribution control means controls the number of distributions of advertising content based on information relating to user forgetting about the advertising content.   49. The advertisement content distribution control system according to claim 22, wherein the distribution control unit controls the number of distributions for a single advertisement content. An advertising content delivery control method for controlling the number of deliverys of advertising content when advertising content that accepts an output request for a predetermined web page from a user is delivered,
A number counting step of counting the number of times the output request for the predetermined web page is received from an arbitrary user within a predetermined period;
Number of advertisement contents distributed to a user having a predetermined characteristic in an arbitrary set of users so as to adjust the total number of requests for outputting a predetermined web page based on the information on the number of times counted in the number counting step. A delivery control process for controlling
An advertising content delivery control method characterized by comprising:   The distribution control step controls distribution of advertisement content distributed to users having predetermined characteristics in a set of arbitrary users so that the total number of requests for outputting the predetermined web page is maximized. The advertisement content delivery control method according to claim 50.   52. The advertisement content delivery control method according to claim 50 or 51, wherein the delivery control step performs the delivery number control a plurality of times according to a user's temporal change of the predetermined characteristic.   The number counting step accepts an output request for a predetermined web page made by using an information input device, a mobile phone, or a remote controller for controlling the function of a television receiver by which an arbitrary user inputs information to a computer 53. The advertising content distribution control method according to claim 50, 51 or 52, wherein the number of times is totaled.   In the distribution control step, the advertisement content distributed to a user having a predetermined characteristic in a set of arbitrary users so as to adjust the total number of receiving the output request of the predetermined web page performed by an arbitrary user by Monte Carlo simulation 51. The advertising content distribution control method according to claim 50, wherein the number of distributions is controlled.   The distribution control step distributes to a user having a predetermined characteristic in a set of arbitrary users so as to adjust the total number of receiving the output request of the predetermined web page performed by an arbitrary user through learning using artificial intelligence. 51. The advertising content distribution control method according to claim 50, wherein the number of advertising content distributions to be controlled is controlled.   The distribution control step controls the number of distributions so that the number of distributions of the advertisement content changes according to a temporal change in an output request of the predetermined web page made by a user having the predetermined characteristic. 56. The advertising content distribution control method according to any one of items 50 to 55.   The distribution control step is performed by the user having the predetermined characteristic, and a portion where the number of distributions of the advertisement content changes according to a temporal change in the output request of the predetermined web page performed by the user having the predetermined characteristic. 56. The advertising content distribution control method according to any one of claims 50 to 55, wherein the control is performed separately for a portion that does not change according to a temporal change in the output request of the predetermined web page.   The distribution control step is based on a time change of the output request for the predetermined web page based on a difference in the number of times that a plurality of advertisement contents have received an output request for the predetermined web page from a user having the predetermined characteristic. 58. The advertising content distribution control method according to claim 57, wherein a portion of the distribution number that changes is controlled.   58. The distribution control step controls a portion of the number of distributions that does not change according to a temporal change in the output request of the predetermined web page based on the number of days related to the distribution of the advertising content. 58. The advertisement content delivery control method according to 58.   The advertisement content delivery according to any one of claims 50 to 59, wherein the delivery control step controls the number of deliverys of advertisement content so as to satisfy a predetermined condition relating to a delivery cost of the advertisement content. Control method.   The distribution control step controls the number of distributions based on information indicating whether or not the number of times of receiving an output request for the predetermined web page is saturated. The advertising content delivery control method according to any one of the above.   The advertising content distribution control method according to any one of claims 50 to 61, wherein the distribution control step controls the number of distributions of the advertising content according to the feature of each advertising content.   The distribution control step separately controls the number of distributions of cognitive advertising content that allows a user to recognize the presence of a certain thing and the number of distributions of acquisition-type advertising content that prompts the user to purchase a certain thing. 62. The advertisement content delivery control method according to 62.   The advertisement content distribution control method according to any one of claims 50 to 63, wherein the distribution control step separately controls the number of distributions for a plurality of different advertisement contents having the same appeal content. .   The delivery control step controls the number of advertisement content delivery so that the number of output requests for a predetermined web page made by a non-overlapping user is maximized. The advertising content delivery control method described.   The distribution control step controls the number of distributions of advertisement content so that a recognition rate, which is a rate at which a content promoted by the advertisement content is recognized by a user, is maximized. The advertisement content delivery control method according to any one of the above.   67. The advertisement according to any one of claims 50 to 66, wherein the distribution control step controls the number of advertisement contents distributed based on information related to advertisement recognition interaction among a plurality of advertisement media. Content delivery control method.   68. The advertising content distribution control method according to any one of claims 50 to 67, wherein the distribution control step controls the number of distributions based on a predetermined condition relating to the number of distributions of advertising content.   69. The advertising content distribution control method according to any one of claims 50 to 68, wherein the distribution control step controls the number of distributions based on a predetermined condition relating to a distribution period of the advertising content.   In the distribution control step, the advertising content to be distributed to a user who is specified to be a target of advertising content and the advertising content to be distributed to a user who is not specified to be a target of advertising content 70. The advertisement content delivery control method according to any one of claims 50 to 69, wherein the delivery number is controlled.   The distribution control step controls the number of advertisement contents distributed based on the number of times an output request for a predetermined web page is received from a user whose acquired advertisement contents prompting the user to purchase a certain item do not overlap. Item 70. The advertising content distribution control method according to any one of Items 50 to 70.   The distribution control step acquires information related to a user's response to the distributed advertising content when the advertising content is distributed, and if the user's response is a specific response, the number of distribution of the advertising content The advertising content delivery control method according to any one of claims 50 to 71, wherein a setting related to the control of the advertisement content is changed.   The advertisement according to claim 72, wherein the distribution control step changes a setting related to the control of the number of distributions so as to stop the distribution of the advertisement content when the user's reaction is a specific reaction. Content delivery control method.   The advertising content distribution control method according to any one of claims 50 to 73, wherein the distribution control step separately controls the number of distributions for each advertising content having different appeal contents.   The distribution control step controls the number of advertisement content distributions based on information related to a predetermined limit value of the number of advertisement content distributions for which the user is negative with respect to advertisement browsing. 74. The advertising content distribution control method according to any one of 74.   The advertising content distribution control method according to any one of claims 50 to 75, wherein the distribution control step controls the number of distributions of the advertising content based on information relating to user forgetting about the advertising content.   77. The advertisement content delivery control method according to any one of claims 50 to 76, wherein the delivery control step controls the number of delivery for a single advertisement content. An advertisement content distribution control program that controls the number of advertisement content distributions when an advertisement content that accepts an output request for a predetermined web page from a user is distributed,
A count counting procedure for counting the number of times an output request for the predetermined web page is received from an arbitrary user within a predetermined period;
Number of advertisement contents distributed to a user having a predetermined characteristic in a set of arbitrary users so as to adjust the total number of requests to be output for a predetermined web page based on the information on the number of times counted by the number counting procedure. Delivery control procedure to control,
An advertisement content distribution control program that causes a computer to execute.

Images