JP2010039517A - Information evaluation device, information evaluation system, information evaluation method, and information evaluation program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an information evaluation device for reducing deviation of evaluation by layout in providing information while achieving information provision corresponding to evaluation of content. <P>SOLUTION: A content use history storage means 81 stores a content identifier for identifying used content and a layout identifier corresponding to a position where the content is output in association. A content evaluation value calculation means 82 reads a layout evaluation value corresponding to the layout identifier of each use history stored in the content use history storage means 81 from a layout evaluation value storage means 83, and calculates a content evaluation value so as to set lower a content evaluation value per use history according as the layout evaluation value of the content use history shows that it is easier to find the content. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to an information evaluation device, an information evaluation system, an information evaluation method, and an information evaluation program for evaluating a content and a scoring engine that calculates a content score.

  Various techniques for calculating and evaluating the evaluation value of each content according to the usage status of the content such as text, music, images, and programs have been proposed. The evaluation value of each content is obtained by evaluating each content on the basis of conditions such as the degree of use and importance, and quantifying it. In addition, a mechanism for realizing these techniques for evaluating each content based on a certain condition and calculating an evaluation value (also referred to as a score) is also called a scoring engine.

  As an evaluation method, for example, in Patent Document 1, information indicating that a user has accessed is acquired, the degree of interest in each piece of information of the user is calculated from the access time and the number of times of access, and the degree of interest is calculated. Describes how to rank information.

  Patent Document 2 describes a method for identifying an object that is highly interested by a user using a user model and a search result returned from a search engine. In the identification method described in Patent Document 2, a user model for determining user characteristics is created from a user's past browsing history and profile, and a search is performed using the created user model as a condition. Among words / phrases included in the search results returned from the search engine, a word / phrase having a high appearance frequency is determined as a word / interest. The word is used to calculate a similarity measure and determine a score.

  Patent Document 3 describes a content evaluation method in which the evaluation frequency becomes substantially uniform when evaluating a plurality of contents. In the content evaluation method described in Patent Document 3, the ranking of content is determined based on the evaluation frequency or random number for each content so that the evaluation frequency for each content or the number of evaluations is substantially uniform. When the rank is determined, the content is presented to the evaluator based on the determined rank.

  Patent Document 4 describes an evaluation system that fairly evaluates a plurality of music pieces. In the evaluation system described in Patent Literature 4, random numbers are generated to determine a combination of music pieces, and the combination is transmitted to the evaluator. When the evaluator evaluates the presented music, the evaluation system totals the evaluation scores of all evaluators and ranks them.

JP-A-10-143519 (paragraphs 0043-0045, FIG. 3) JP 2006-107473 A (paragraphs 0007, 0010, 0037-0040) JP 2002-92261 A (paragraphs 0074 and 0075) JP 2005-165889 (paragraphs 0029, 0030, 0038)

  In the methods described in Patent Document 1 and Patent Document 2, since content evaluation is performed based on the usage history, the evaluation depends on the layout of the content, and the fairness of the evaluation cannot be maintained.

  In addition, content deployed in a layout that is easy to find has a higher usage frequency than content deployed in a layout that is difficult to find. If the evaluation is based only on the usage frequency and the content is provided according to the evaluation, the content layout will be fixed and the purpose of providing various types of content to the user cannot be achieved. There are challenges.

  Furthermore, the scoring engine realized by the methods described in Patent Document 1 and Patent Document 2 also has a problem that evaluation is biased with respect to specific content, as described above.

  In addition, in the evaluation methods described in Patent Document 3 and Patent Document 4, the order of contents to be presented to the user is changed regardless of the evaluation value, so the layout is not fixed. However, from the viewpoint of information recommendation, there is a problem that it is not possible to provide content with high user needs by rearranging content in descending order (or ascending order) of evaluation values by information search or the like.

  Therefore, the present invention provides an information evaluation apparatus, an information evaluation system, an information evaluation method, and an information evaluation program that reduce the evaluation bias due to the layout at the time of information provision while realizing information provision according to content evaluation. Objective.

  The information evaluation apparatus according to the present invention includes a content usage history storage unit that stores a usage history of content, a content evaluation value calculation unit that calculates a content evaluation value obtained by quantifying the content evaluation, and a layout in which the content is output. Layout evaluation value storage means for storing the layout identifier assigned in association with the layout evaluation value obtained by quantifying the ease of finding the layout in which the content is output, and the content use history storage means includes the used content. A usage history in which a content identifier for identifying the content and a layout identifier corresponding to the layout from which the content is output are associated with each other, and the content evaluation value calculating unit stores the layout of each usage history stored in the content usage history storage unit The layout evaluation value corresponding to the identifier is Reading from Uto evaluation value storing means, as the layout evaluation value of the content use history indicates that easy to find content, and calculates a content evaluation value so as to lower the content evaluation value per usage history.

  An information evaluation apparatus according to the present invention includes a content use history storage unit that stores a content use history, a content evaluation history storage unit that stores a first content evaluation value evaluated by a scoring engine that calculates a content evaluation value, Content evaluation value calculating means for calculating a second content evaluation value obtained by quantifying the content evaluation, a layout identifier assigned according to the layout to which the content is output, and the ease of finding the layout to which the content is output are quantified Layout evaluation value storage means for storing the associated layout evaluation value in association with each other, scoring engine evaluation value calculation means for calculating a scoring engine evaluation value obtained by quantifying the reliability of the scoring engine, and a scoring engine evaluation value Scoring engine calculated by the calculation means Scoring engine evaluation value storage means for storing the evaluation value, and the content usage history storage means associates a content identifier for identifying the used content with a layout identifier corresponding to the layout from which the content is output. The usage history is stored, and the scoring engine evaluation value calculation means easily finds the content by the layout evaluation value stored in the layout evaluation value storage means corresponding to the layout identifier of the usage history stored in the content usage history storage means. The scoring engine evaluation value calculation means for calculating the scoring engine evaluation value of the scoring engine high, and the scoring engine evaluation value for the scoring engine that calculates the first content evaluation value of the content low , Scoring engine evaluation Scoring engine evaluation value registration means for registering in the storage means, wherein the content evaluation value calculation means receives the first content evaluation value from the scoring engine and registers the first content evaluation value in the content evaluation history storage means The second content evaluation value is obtained from the first content evaluation value registration means, the first content evaluation value stored in the content evaluation history storage means, and the scoring engine evaluation value stored in the scoring engine evaluation value storage means. And a second content evaluation value calculation means for calculating.

  An information evaluation system according to the present invention includes a use terminal that uses content, and an information evaluation device that transmits a content evaluation value obtained by quantifying the content evaluation to the use terminal, and the use terminal evaluates the information evaluation device. Content evaluation request means for requesting a content evaluation value corresponding to the condition to the information evaluation apparatus by transmitting the condition of the content, the information evaluation apparatus storing content use history storage means for storing the content use history; Content evaluation value calculating means for calculating an evaluation value, content evaluation value transmitting means for transmitting the content evaluation value to the user terminal, a layout identifier assigned according to the layout from which the content is output, and the layout from which the content is output Associating and storing layout evaluation values that quantify the ease of finding The layout evaluation value storage means and the content usage history storage means store a usage history in which a content identifier for identifying the used content is associated with a layout identifier corresponding to the layout from which the content is output, and content evaluation is performed. The value calculation means reads the layout evaluation value corresponding to the layout identifier of each usage history stored in the content usage history storage means from the layout evaluation value storage means, and indicates that the layout evaluation value of the content usage history is easy to find the content. The content evaluation value is calculated so as to lower the content evaluation value per usage history.

  An information evaluation system according to the present invention includes a use terminal that uses content, and an information evaluation device that transmits a content evaluation value obtained by quantifying the content evaluation to the use terminal, and the use terminal evaluates the information evaluation device. Content evaluation requesting means for requesting a content evaluation value corresponding to the condition to the information evaluation apparatus by transmitting the content condition, the information evaluation apparatus includes content usage history storage means for storing the content usage history, Content evaluation history storage means for storing the first content evaluation value evaluated by the scoring engine for calculating the evaluation value, content evaluation value calculation means for calculating the second content evaluation value obtained by quantifying the content evaluation, Content evaluation value transmitting means for transmitting two content evaluation values to a user terminal, and content Layout evaluation value storage means for storing a layout identifier assigned according to the output layout and a layout evaluation value obtained by quantifying the ease of finding the layout from which the content is output, and reliability of the scoring engine Scoring engine evaluation value calculating means for calculating a scoring engine evaluation value that has been digitized, and scoring engine evaluation value storage means for storing the scoring engine evaluation value calculated by the scoring engine evaluation value calculating means, The content usage history storage unit stores a usage history in which a content identifier for identifying the used content and a layout identifier corresponding to the layout from which the content is output are stored, and the scoring engine evaluation value calculation unit stores the content Stored in the usage history storage means The higher the scoring engine scoring engine evaluation value of the scoring engine is, the lower the scoring engine that calculates the first content evaluation value of the content is, the more the layout evaluation value corresponding to the layout identifier of the usage history indicates that the content can be easily found. A scoring engine evaluation value calculating means for calculating; and a scoring engine evaluation value registering means for registering the scoring engine evaluation value in the scoring engine evaluation value storage means; A first content evaluation value registration unit that receives the first content evaluation value and registers the first content evaluation value in the content evaluation history storage unit, a first content evaluation value calculated by the scoring engine, and a scoring engine evaluation The score stored in the value storage means A second content evaluation value calculating means for calculating a second content evaluation value from the alling engine evaluation value is provided.

  An information evaluation method according to the present invention is a layout evaluation value that stores a layout identifier assigned according to a layout to which content is output and a layout evaluation value in which the ease of finding the layout from which the content is output is quantified. The layout evaluation value reading step for reading the layout evaluation value corresponding to the layout identifier stored in the content usage history storage means for storing the content usage history from the storage means, and the layout evaluation value indicates that the content can be easily found. A content evaluation value calculating step for calculating so as to lower the content evaluation value per usage history.

  An information evaluation method according to the present invention includes a first content evaluation value registration step of receiving a first content evaluation value from a scoring engine that calculates an evaluation value of the content and registering the first content evaluation value in a content evaluation history storage unit; A layout evaluation value stored in a layout evaluation value storage unit that stores a layout identifier assigned according to the assigned layout and a layout evaluation value obtained by quantifying the ease of finding the layout in which the content is output; Scoring that calculates the first content evaluation value of the content as low as the layout evaluation value indicates that the content can be easily found from the layout identifier of the usage history stored in the content usage history storage unit that stores the content usage history. Scoring engine versus engine A scoring engine evaluation value calculation step for calculating a scoring engine evaluation value high, a scoring engine evaluation value registration step for registering the scoring engine evaluation value in the scoring engine evaluation value storage means, and a scoring engine calculation value calculated by the scoring engine A content evaluation value calculating step of calculating a second content evaluation value from the one content evaluation value and the scoring engine evaluation value stored in the scoring engine evaluation value storage means.

  The information evaluation program according to the present invention stores, in a computer, the layout identifier assigned according to the layout in which the content is output and the layout evaluation value obtained by quantifying the ease of finding the layout in which the content is output in association with each other. The layout evaluation value reading process for reading the layout evaluation value corresponding to the layout identifier stored in the content usage history storage unit that stores the content usage history from the layout evaluation value storage unit, and the layout evaluation value is easy to find the content. The content evaluation value calculation processing for calculating so as to lower the content evaluation value per usage history is executed.

  An information evaluation program according to the present invention includes a first content evaluation value registration process for receiving a first content evaluation value from a scoring engine for calculating an evaluation value of a content and registering the content in a content evaluation history storage unit. The layout evaluation value stored in the layout evaluation value storage means for storing the layout identifier assigned according to the layout to which the content is output and the layout evaluation value obtained by quantifying the ease of finding the layout in which the content is output in association with each other The first content evaluation value of the content is calculated to be lower as the layout evaluation value indicates that the content can be easily found from the layout identifier of the usage history stored in the content usage history storage unit that stores the content usage history. Against scoring engine A scoring engine evaluation value calculation process for calculating a scoring engine evaluation value of the ring engine high, a scoring engine evaluation value registration process for registering the scoring engine evaluation value in the scoring engine evaluation value storage means, and a scoring engine A content evaluation value calculation process for calculating a second content evaluation value is executed from the calculated first content evaluation value and the scoring engine evaluation value stored in the scoring engine evaluation value storage means.

  ADVANTAGE OF THE INVENTION According to this invention, the bias | inclination of the evaluation by the layout at the time of information provision can be reduced, implement | achieving the information provision according to content evaluation.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

Embodiment 1. FIG.
FIG. 1 is a block diagram showing a first embodiment of an information evaluation system according to the present invention. The information evaluation system according to the present invention includes a content evaluation device 100, a use terminal 200, and a content index 300.

  The content evaluation apparatus 100 includes content usage history storage means 101, layout evaluation value registration means 102, layout evaluation value storage means 103, and content evaluation value calculation means 104.

  The content usage history storage unit 101 is a storage device that stores a content usage history of a user who uses the content. FIG. 2 is an explanatory diagram illustrating an example of the content usage history stored in the content usage history storage unit 101. In the example illustrated in FIG. 2, the content evaluation apparatus 100 identifies the acquisition time indicating the time when the content usage history is acquired from the usage terminal 200, the content ID that is the content identifier for identifying the content, and the user of the content. And a layout ID that is a layout identifier assigned in accordance with the layout in which the content is output.

  In the description of the present invention, the layout means the position, size, order, etc., at which content is output. In the following description, the position where the content is output is described as a layout. However, the layout is not limited to the position where the content is output, and may be the size where the content is output or the order in which the content is output. .

  For example, the content “http://bbb.com” acquired by the user “User1” is displayed at the position indicated by the layout ID “002”, and the content evaluation apparatus 100 acquires the usage history at the acquisition time “1”. : 0:00:01 ”indicates that it has been received from the use terminal 200. On the other hand, the position displayed when another user “User2” has acquired the same content “http://bbb.com” is the position indicated by the layout ID “003”, and the content evaluation apparatus 100 uses the usage history. Is received from the use terminal 200 at the acquisition time “10:00:10”.

  The content usage history received from the usage terminal 200 may be registered in the content usage history storage unit 101 by a registration unit (not shown) in the content usage history storage unit 101. The means for registering in the content usage history storage means 101 may be realized by the CPU of the content evaluation apparatus 100 that operates according to a program.

  The layout evaluation value storage unit 103 is a storage device that stores a layout evaluation value, which is an index of ease of finding each content. The layout evaluation value can be expressed, for example, by increasing the value as the layout is easy to find the content, and by decreasing the value relatively with respect to the layout where the content is difficult to find. FIG. 3 is an explanatory diagram illustrating an example of the layout evaluation value stored in the layout evaluation value storage unit 103. In the example illustrated in FIG. 3, the position indicated by the layout ID “001” is relatively difficult to find than the position indicated by the layout ID “003”. In the present embodiment, an example will be described in which the layout evaluation value is increased as the layout is easier to find content.

  For example, the layout evaluation value registration unit 102 registers the layout evaluation value in the layout evaluation value storage unit 103 in accordance with an instruction from the administrator of the content evaluation apparatus 100. For example, if the content evaluation apparatus 100 includes an input device such as a keyboard, the instruction method may be performed by inputting a layout evaluation value via an input device such as a keyboard by an administrator. When the layout evaluation value storage unit 103 has already stored the layout evaluation value, the content evaluation device 100 may not include the layout evaluation value registration unit 102.

  The content evaluation value calculation unit 104 evaluates the content based on a certain condition and calculates a numerical content evaluation value. For example, when the content evaluation apparatus 100 receives a content evaluation request from the usage terminal 200, the content evaluation value calculation unit 104 refers to the content usage history storage unit 101 and the layout evaluation value storage unit 103 to evaluate the content evaluation value. And a list of contents to which the content evaluation value is assigned to the use terminal 200 that is the request source is returned.

  The content evaluation value calculation unit 104 may receive items included in the content usage history storage unit 101 as a content evaluation condition from the usage terminal 200. In the example illustrated in FIG. 2, for example, when the content evaluation apparatus 100 receives a content ID or user ID to be evaluated from the usage terminal 200, the content evaluation value calculation unit 104 selects a content ID or user ID that matches the condition. The included usage history is read from the content usage history storage unit 101. When the content usage history storage unit 101 includes the date and time when the content was used, the content evaluation value calculation unit 104 may receive the date and time when the content was used from the usage terminal 200 as a condition. Further, the number of conditions is not limited to one, and a plurality of conditions may be received. The content evaluation value calculation unit 104 calculates a content evaluation value for the usage history corresponding to the received condition.

  In the present embodiment, the content evaluation value calculation unit 104 calculates the content evaluation value with reference to the content use history storage unit 101 and the layout evaluation value storage unit 103.

  The content evaluation value calculation unit 104 may transmit the calculated content evaluation value to the use terminal 200. If the content evaluation device 100 is equipped with a display unit (not shown) such as a display device that displays the content evaluation value, for example, the content evaluation value calculation means 104 calculates the display device. A content evaluation value may be output. In the following description, a case where the content evaluation value calculation unit 104 transmits the calculated content evaluation value to the use terminal 200 will be described.

  The layout evaluation value registration unit 102 and the content evaluation value calculation unit 104 are realized by the CPU of the content evaluation apparatus 100 that operates according to the information evaluation program, for example. The program is stored in, for example, a program storage device (not shown) provided in the content evaluation device 100. The CPU may read the program and perform operations as the layout evaluation value registration unit 102, the content evaluation value calculation unit 104, and the like according to the program.

  The usage terminal 200 includes a content usage history transmission unit 201 and a content evaluation request unit 202.

  The content usage history transmission unit 201 transmits the usage history of the content used by the content user to the content evaluation apparatus 100. For example, when the user using the usage terminal 200 uses the content, the content usage history transmission unit 201 reads the content information, and the content usage history transmission unit 201 reads the content information. May be transmitted to the content evaluation apparatus 100 as a usage history. Further, for example, if the usage terminal 200 includes a storage device (not shown) that stores the usage history of content, the content usage history transmission unit 201 instructs the user who uses the usage terminal 200 to provide instructions. In response, the content usage history may be read from the storage device, and the read content usage history may be transmitted to the content evaluation device 100.

  The content evaluation request unit 202 requests the content evaluation apparatus 100 to evaluate the content. For example, the content evaluation request unit 202 transmits, to the content evaluation apparatus 100, identification information of the content for which evaluation is requested in response to an instruction from a user who uses the use terminal 200. The evaluation result from 100 is received.

  In addition, the use terminal 200 may include an output unit (not shown) that outputs an evaluation result received from the content evaluation apparatus 100. For example, if the use terminal 200 is equipped with a display device such as an LCD (Liquid Crystal Display) that displays the evaluation result on the output unit, the use terminal 200 receives the evaluation result from the content evaluation device 100. The content evaluation request unit 202 may display the evaluation result on the display device. Further, for example, if the use terminal 200 is equipped with an output device such as a printer, when the use terminal 200 receives the evaluation result from the content evaluation device 100, the content evaluation requesting unit 202 displays the evaluation result as the evaluation result. You may output to an output device. In the following description, a case where the use terminal 200 is equipped with a display device will be described as an example.

  The content index 300 is a storage device that stores content information. FIG. 4 is an explanatory diagram showing an example of content information stored in the content index 300. The content index 300 stores content information such as a content title, a content article, and a content update date in association with a content ID for identifying the content.

  In FIG. 1, the case where the content index 300 is outside the content evaluation apparatus 100 is described as an example, but the content index 300 may be provided inside the content evaluation apparatus 100.

  For example, when the content evaluation device 100 returns a content evaluation value to the use terminal 200, the content evaluation value calculation unit 104 reads content information from the content index 300, and adds the read content information to the content evaluation value. Also good.

Next, the operation will be described.
FIG. 5 is a flowchart showing an example of processing for registering a content usage history in the content usage history storage unit 101.

  When the content evaluation apparatus 100 receives the content usage history from the content usage history transmission unit 201 of the usage terminal 200 (step S11), the registration unit (not shown) in the content usage history storage unit 101 is a content usage history storage unit. The received content use history is registered in 101 (step S12). The content usage history includes a content ID for identifying the content and a layout ID for identifying the layout of the content. For example, in the example illustrated in FIG. 2, the content evaluation apparatus 100 receives the content usage history at “1:00:12”, sets “http://aaa.com” as the content ID, and “001” as the layout ID. Are received and registered in the content usage history storage unit 101. In the example illustrated in FIG. 2, the content evaluation apparatus 100 indicates that “User2” is received as the user ID in addition to the content ID and the layout ID, and is registered in the content usage history storage unit 101.

  FIG. 6 is a flowchart illustrating an example of a process for registering a layout evaluation value in the layout evaluation value storage unit 103.

  For example, when the administrator of the content evaluation apparatus 100 inputs the layout ID and the layout evaluation value in association with each other via the input device (not shown) of the content evaluation apparatus 100 (step S21), the layout evaluation value registration unit 102 is input. Registers the set of the input layout ID and layout evaluation value in the layout evaluation value storage means 103 (step S22).

  For example, in the example shown in FIG. 3, the administrator of the content evaluation apparatus 100 sets the layout ID and the layout evaluation value to (001, 0.1), (002, 0.2), (003, 0.3), respectively. ) And is registered in the layout evaluation value storage means 103.

  FIG. 7 is a flowchart illustrating an example of processing in which the content evaluation value calculation unit 104 evaluates content.

  The content evaluation value calculation unit 104 of the content evaluation apparatus 100 receives a content evaluation request from the content evaluation request unit 202 of the user terminal 200 (step S31). The content evaluation value calculation means 104 receives items included in the content usage history storage means 101 from the usage terminal 200 as content evaluation conditions. In the example illustrated in FIG. 2, the content evaluation value calculation unit 104 receives, for example, an evaluation target content ID and user ID from the use terminal 200. When the content usage history storage unit 101 includes the date and time when the content is used, the content usage history storage unit 101 may receive the date and time when the content is used. Further, the number of conditions is not limited to one, and a plurality of conditions may be received.

  The content evaluation value calculation unit 104 checks whether or not a content usage history that matches the content evaluation condition received from the usage terminal 200 exists in the content usage history storage unit 101 (step S32). If there is a usage history of content that matches the condition, the content evaluation value calculation unit 104 reads the usage history of the corresponding content from the content usage history storage unit 101 (step S33). The content usage history is not limited to one, and a plurality of usage histories may exist. Hereinafter, a set including one or more content usage histories is referred to as a content usage history list.

  The content evaluation value calculation unit 104 reads, from the layout evaluation value storage unit 103, the layout evaluation value corresponding to the layout ID when each content is used for the content indicated by each content ID included in the read content usage history list. (Step S34). Based on the read layout evaluation value, the content evaluation value calculation unit 104 uses a content that is easier to find for a usage history of each content. The content evaluation value is calculated so as to increase the content evaluation value per usage history as the user uses it (step S35). The following methods can be considered as the content evaluation value calculation method.

  Arbitrary content in the content usage history list corresponding to the content evaluation condition is C, and the number of content C in the content usage history list is n. Further, the layout evaluation value corresponding to the layout ID included in each usage history of the content C is Lx (x = 1... N). The evaluation value of the content included in each usage history may be the reciprocal of the layout evaluation value included in each usage history, and the evaluation value Sc of content C may be the sum of the evaluation values of the content calculated for each usage history. This calculation method can be expressed as (Equation 1).

  The content evaluation value calculation unit 104 may calculate the content evaluation value in real time every time a content evaluation request is received. Alternatively, if the content evaluation device 100 includes storage means (not shown) for storing the content evaluation value, the content evaluation value calculation means 104 periodically calculates the content evaluation value and stores it in the storage device. You may keep it. Alternatively, the content evaluation value calculating unit 104 may calculate the content evaluation value for each user as well as for each content.

  The content evaluation value calculation unit 104 repeats the processing from step S34 to step S35 until the evaluation value of all the contents included in the content usage history list that matches the content evaluation condition is calculated. When the content evaluation value calculation unit 104 completes the calculation of the evaluation values for all the contents (step S36), the content evaluation value calculation unit 104 displays the content information corresponding to the content ID of each content for which the evaluation value has been calculated, Received from 300 (step S37). The reception of the content information is arbitrary. For example, if the use terminal 200 does not request the content information or does not include the content index 300, the content evaluation value calculation unit 104 receives the content information from the content index 300. You don't have to. The content evaluation value calculation means 104 transmits the calculated content evaluation value and the content information when the content information is received to the use terminal 200 that is the request source (step S38).

  According to the present invention, the content evaluation value calculation unit 104 reads the content usage history from the content usage history storage unit 101, reads the layout evaluation value corresponding to the usage history from the layout evaluation value storage unit 103, and reads the layout evaluation value thus read. If it is easy to find, the content evaluation value is calculated low, and if the read layout evaluation value is difficult to find, the content evaluation value is calculated high. Therefore, it is possible to reduce the evaluation bias due to the layout at the time of providing information while realizing the provision of information according to the evaluation of the content.

  In addition, by evaluating the content in this way, it is possible to prevent only the content displayed in the easy-to-find layout from being browsed in general click feedback and as a result, the content layout is not fixed. it can.

Embodiment 2. FIG.
FIG. 8 is a block diagram showing a second embodiment of the information evaluation system according to the present invention. In addition, about the structure similar to 1st Embodiment, the code | symbol same as FIG. 1 is attached | subjected and description is abbreviate | omitted. The information evaluation system according to the second embodiment is different from the first embodiment in that the content evaluation apparatus 100 includes a layout evaluation value calculation unit 105.

  The layout evaluation value calculation unit 105 calculates a layout evaluation value based on the content usage history stored in the content usage history storage unit 101, and registers the calculated layout evaluation value in the layout evaluation value storage unit 103. . For example, the layout evaluation value calculation unit 105 may calculate a layout evaluation value at regular intervals, or may calculate in real time when a user who uses the content uses the content.

  The content evaluation value calculating unit 104, the layout evaluation value calculating unit 105, and the unit (not shown) for registering the content usage history received from the usage terminal 200 in the content usage history storage unit 101 are, for example, according to the information evaluation program. This is realized by the CPU of the content evaluation apparatus 100 that operates. For example, as described in the first embodiment, the CPU may read a program and perform operations as the content evaluation value calculation unit 104, the layout evaluation value calculation unit 105, and the like according to the program.

Next, the operation will be described.
The process of registering the content usage history in the content usage history storage unit 101 (steps S11 to S12) is the same as in the first embodiment.

  FIG. 9 is a flowchart showing an example of processing until the layout evaluation value calculation unit 105 calculates a layout evaluation value and registers the calculated layout evaluation value in the layout evaluation value storage unit 103.

  The layout evaluation value calculation unit 105 reads the usage history of all contents from the content usage history storage unit 101 (step S41). The read content use history includes a content ID that is content identification information and a layout ID that is content layout identification information. When the layout evaluation value calculation unit 105 reads the usage history of all contents, the layout evaluation value calculation unit 105 determines that the layout corresponding to the layout ID is easier to find as the number of layout IDs of the read usage history increases. Then, the layout evaluation value corresponding to the layout ID having a large usage history is calculated to be high (step S42).

  For example, the total usage history number of content is set to Nall, and the number of times the layout X is used among the total usage history is set to Nx. At this time, the layout evaluation value Lx of the layout X may be calculated as a ratio of the number of times the layout X is used Nx to the total number of usage histories Nall. This calculation method can be expressed as (Equation 2).

  When the layout evaluation value calculation unit 105 calculates the layout evaluation value Lx, the layout evaluation value calculation unit 105 registers the calculation result in the layout evaluation value storage unit 103 (step S43).

  The layout evaluation value calculation unit 105 repeats the processing from step S42 to step S43 until all layout evaluation values included in the layout ID read from the content usage history storage unit 101 are calculated. When the calculation of the layout evaluation value is completed, the process is terminated (step S44).

  The layout evaluation value calculation means 105 may calculate the layout evaluation value in real time every time the content user uses the content. Alternatively, the layout evaluation value calculation unit 105 may periodically calculate the layout evaluation value. Alternatively, the layout evaluation value calculation unit 105 may calculate the layout evaluation value for each user.

  After the layout evaluation value calculation unit 105 registers the layout evaluation value in the layout evaluation value storage unit 103, the content evaluation value calculation unit 104 performs content evaluation (steps S31 to S38) as in the first embodiment. It is.

  According to the present embodiment, in addition to the effects of the first embodiment, the layout evaluation value calculation unit 105 calculates a layout evaluation value based on the content usage history stored in the content usage history storage unit 101. Therefore, since the content usage characteristics of the user can be reflected in the layout evaluation value, a more fair evaluation can be performed.

  Next, the operation of this embodiment will be described using specific examples. In the following embodiments, a case will be described as an example where the present invention is applied to a service for distributing today's high-profile news content to a mobile phone several times a day. In the following embodiments, the content evaluation value can be considered as the attention level of the content based on the browsing history.

  In the example illustrated in FIG. 4, the content index 300 stores, as news content information, identification information for identifying news as a content ID, a news title, a news article, and a news update date and time. . It is assumed that there is no usage history corresponding to the usage date in the content usage history storage unit 101 at the start of processing.

  FIG. 10 is an explanatory diagram showing a mobile phone used as the use terminal 200 in this embodiment. In the example shown in FIG. 10, the mobile phone includes a screen for displaying news. In this embodiment, the layout ID shown in FIG. 10 is assigned according to the layout of the display screen of the mobile phone. In this embodiment, it is assumed that the layout evaluation value storage unit 103 stores a layout evaluation value that is an index of ease of finding for each layout in advance. In this embodiment, the layout evaluation value is in the range of 5 to 1 point. As shown in FIG. 11, the layout evaluation value storage unit 103 may store the layout evaluation values at 5 to 1 points in order from the top of the layout.

  The content evaluation device 100 receives today's date as a news distribution request (ie, content evaluation condition) from the mobile phone in accordance with the operations of the user A and the user B who operate the mobile phone. When the content evaluation device 100 receives today's date, the content evaluation value calculation unit 104 reads today's news browsing history from the content usage history storage unit 101 using today's date as a search condition. In this embodiment, since the browsing history does not exist in the content usage history storage unit 101, the content evaluation value calculation unit 104 cannot perform content evaluation. In this case, the content evaluation value calculation means 104 may read the news corresponding to the update date and time stored in the content index 300 at random and send it to each user's mobile phone.

  When each user's mobile phone receives the news from the content evaluation apparatus 100, the mobile phone displays the received news on the display screen of the mobile phone. In this embodiment, as shown in the example of FIG. 12, it is assumed that the user A browses the news of “Dengeki Marriage” and “Bank Robbery”. Further, it is assumed that the user B browses the news of “bank robbery” and “large earthquake”. The content usage history transmission unit 201 of the mobile phone transmits these usage histories to the content evaluation apparatus 100.

  When the content evaluation device 100 receives the usage history, the content evaluation device 100 stores, in the content usage history storage unit 101, as a usage history, a news browsing time, a content ID that is an identifier of each news, and a user identifier. A user ID and a layout ID that is an identifier of the layout are stored. FIG. 13 shows a result of the content evaluation apparatus 100 storing the usage history in the content usage history storage unit 101.

  In this state, when the content evaluation apparatus 100 receives today's date as a news distribution request from another user C's mobile phone, the content evaluation value calculation unit 104 stores the current date recorded in the content usage history storage unit 101. The news usage history list (also referred to as browsing history list) is read from the news usage history (also referred to as browsing history). In this embodiment, the content evaluation value calculation unit 104 reads the content shown in FIG.

  The content evaluation value calculation unit 104 reads the layout evaluation value corresponding to the layout ID of each read history from the layout evaluation value storage unit 103 illustrated in the example of FIG. The content evaluation value calculation unit 104 calculates the reciprocal of the layout evaluation value corresponding to each browsing history, and adds up the content evaluation value to calculate the content evaluation value.

  In the example illustrated in FIG. 13, the content “News1” is browsed once. When “News1” is browsed, it can be seen that this content was at the location of the layout ID “lay1”. The layout evaluation value corresponding to the layout ID “lay1” is “5” from the example shown in FIG. Since the evaluation value of the content usage history is calculated as the reciprocal of the layout evaluation value, the evaluation value of the content usage history is calculated as 1/5. This is the evaluation value of the content “News1”.

  “News2” has been browsed twice. When “News2” is browsed, it can be seen that this content was at the location of layout IDs “lay1” and “lay2”. The layout evaluation value corresponding to the layout ID “lay2” is “4” from the example shown in FIG. When the evaluation value of the content usage history is calculated by the reciprocal of the layout evaluation value, the evaluation values of the content usage history are calculated as 1/5 and 1/4, respectively. Since the evaluation value of the content is obtained by adding the evaluation value of the usage history of the content, the evaluation value of the content “News2” is 9/20.

  Similarly, the evaluation value of the usage history of the content “News7” is calculated as ½, and this becomes the evaluation value of the content “News7”. The above calculation formula is shown in FIG.

  The content evaluation value calculation unit 104 rearranges the contents in descending order of the content evaluation value based on the above result. In this embodiment, since the content evaluation values are higher in the order of “News7”, “News2”, and “News1”, the content evaluation value calculation unit 104 provides information in this order. The content evaluation value calculation means 104 reads the title corresponding to the content ID, the article, and the update date / time from the content index 300 and transmits them to the mobile phone of the user C. As a result, as shown in FIG. 15, news is displayed on the mobile phone of user C in the order of “Great Earthquake”, “Bank Robbery”, and “Dengeki Marriage” corresponding to each content ID.

  As shown in this example, news that attracts attention even in difficult-to-find places will collect high evaluation values, alleviating the unfairness of evaluation that may be influenced by the layout (in this example, the order of display), and impartiality Can be used to evaluate content.

Embodiment 3. FIG.
FIG. 16 is a block diagram showing a third embodiment of the information evaluation system according to the present invention. In addition, about the structure similar to 1st Embodiment, the code | symbol same as FIG. 1 is attached | subjected and description is abbreviate | omitted. The information evaluation system according to the present invention is different from the first embodiment in that it includes a scoring engine 400 in addition to the configuration shown in FIG. In addition to the configuration shown in FIG. 1, the content evaluation device 100 includes a content evaluation history storage unit 106, a scoring engine evaluation value calculation unit 107, and a scoring engine evaluation value storage unit 108. Different from the embodiment.

  Further, the content evaluation value calculation unit 104 ′ does not read the layout evaluation value from the layout evaluation value storage unit 103 and calculates the content evaluation value, but the scoring engine evaluation value storage unit 108 obtains the scoring engine evaluation value. It differs from the content evaluation value calculation means 104 of 1st Embodiment by the point which reads and calculates a content evaluation value.

  The scoring engine evaluation value is a numerical value indicating how reliable the evaluation value of the content evaluated by the scoring engine is. Since the content evaluation method (evaluation value calculation method) by the scoring engine differs depending on each scoring engine, even if the evaluation value is for the same content, the value differs depending on the scoring engine.

  Even if the content is deployed in difficult-to-find layouts, the scoring engine that calculates the high evaluation value of the content evaluates the content regardless of the content layout (position, size, order, etc.). Can be judged. Therefore, it can be determined that the scoring engine performing such evaluation is relatively more reliable than the other scoring engines.

  In the present embodiment, a scoring engine evaluation value is calculated based on the above concept. A method of using the content evaluation value calculated by the scoring engine having a high scoring engine evaluation value as a more reliable content evaluation value will be described. Hereinafter, in order to distinguish the evaluation value calculated by the content evaluation value calculation unit 104 ′ from the evaluation value calculated by the scoring engine 400, the evaluation value calculated by the scoring engine 400 is referred to as a score.

  When the content evaluation request is received from the content evaluation value calculation unit 104 ′, the scoring engine 400, according to the content evaluation condition included in the content evaluation request, the content of each content that meets the content evaluation condition, The list of scores is transmitted to the content evaluation value calculation means 104 ′. In the example shown in FIG. 9, one scoring engine 400 is described, but the number of scoring engines 400 is not limited to one, and a plurality of scoring engines 400 may exist. The scoring engine 400 may be an existing scoring engine.

  The content evaluation history storage unit 106 is a storage device that stores the content content received from the scoring engine 400 and a list of the content scores. FIG. 17 is an explanatory diagram illustrating an example of content scores stored in the content evaluation history storage unit 106. In the example shown in FIG. 17, the content evaluation history storage unit 106 uses the scoring engine ID for identifying the scoring engine, the content ID, and the content score calculated by the scoring engine 400 in this embodiment. And a calculated score indicating the score converted for use.

  In the content evaluation history storage unit 106, the score of the content received by the content evaluation value calculation unit 104 'from the scoring engine 400 is registered.

  Further, the content evaluation history storage unit 106 may include a session ID for identifying a session when a list of content scores is received from the scoring engine 400. Depending on the scoring engine, the score for the same content may vary depending on the conditions (query) from users who use the content, time, etc., so in order to identify whether it is content evaluation within the same session, It is more preferable to include a session ID.

  When the scoring engine evaluates content, the evaluation value setting method depends on the scoring engine. For example, consider a case where there are two scoring engines Y1 and scoring engine Y2. When the range of the score of the content evaluated by each scoring engine is represented by, for example, a range of 0 to 1 for the scoring engine Y1 and 0 to 100 for the scoring engine Y2, the score of each content was used. In this case, it cannot be judged by the same standard. Therefore, unified evaluation can be performed by converting the score calculated by each scoring engine into the same standard.

  The score conversion method may be performed, for example, by normalizing based on the evaluation range of each scoring engine. For example, in the present embodiment, a case where the content score is expressed in a range of 0 to 1 is considered. For example, if the scoring engine Y1 calculates the content score in the range of 0 to 1, the score received by the content evaluation device 100 may be registered in the content evaluation history storage unit 106 as it is. On the other hand, if the scoring engine Y2 calculates the content score in the range of 0 to 100, the content evaluation device 100 divides by the maximum score value (“100” in this example) received. It is sufficient to convert to the same standard.

  This will be specifically described with reference to an example shown in FIG. The content evaluation value calculation unit 104 'requests the scoring engine Y1 and the scoring engine Y2 for a list of content scores. At this time, the session ID “S1” indicates that the content evaluation value calculation unit 104 ′ makes a first request to each scoring engine. The content evaluation value calculation means 104 ′ receives the content calculation scores indicated by the content IDs “http://aaa.com” and “http://bbb.com” from the scoring engine Y1, and uses the received calculation scores. The converted results are “0.5” and “0.1”, respectively. Similarly, the content evaluation value calculation unit 104 ′ receives the content calculation score indicated by the content IDs “http://aaa.com” and “http://bbb.com” from the scoring engine Y2, and has received it. It shows that the result of converting the calculated score is “0.4” and “0.3”, respectively.

  The session ID “S2” indicates that the content evaluation value calculation unit 104 ′ makes a second request to each scoring engine at another timing. The details of registration are the same as the first time.

  The scoring engine evaluation value calculation unit 107 calculates the evaluation value of each scoring engine. The evaluation value of the scoring engine is as described at the beginning of this embodiment.

  The scoring engine evaluation value storage unit 108 is a storage device that stores the scoring engine evaluation value calculated by the scoring engine evaluation value calculation unit 107.

  Layout evaluation value registration means 102, content evaluation value calculation means 104 ′, scoring engine evaluation value calculation means 107, and means for registering the content usage history received from the usage terminal 200 in the content usage history storage means 101 (not shown) Is realized by the CPU of the content evaluation apparatus 100 that operates according to the information evaluation program, for example. For example, as described in the first embodiment, the CPU reads a program and performs operations as the layout evaluation value registration unit 102, the content evaluation value calculation unit 104 ′, the scoring engine evaluation value calculation unit 107, and the like according to the program. You may go.

Next, the operation will be described.
The process of registering the content usage history in the content usage history storage unit 101 (steps S11 to S12) is the same as in the first embodiment.

  FIG. 18 is a flowchart illustrating an example of processing in which the scoring engine evaluation value calculation unit 107 calculates a scoring engine evaluation value.

  The scoring engine evaluation value calculation unit 107 reads the entire usage history of content from the content usage history storage unit 101. At this time, the content usage history includes a content ID that is content identification information, a layout ID that is content layout identification information, a content evaluation history of the content evaluation history storage unit 106, and a content usage history storage unit 101. Session ID for identifying whether the content evaluation is in the same session (step S51). For example, when the content usage history shown in the example of FIG. 2 is stored in the content usage history storage unit 101, the session ID may be stored by adding the session ID to each history. The scoring engine evaluation value calculation unit 107 reads the score calculated by the scoring engine for the content of each usage history read from the content evaluation history storage unit 106 (step S52). The scoring engine evaluation value calculation unit 107 reads the layout evaluation value corresponding to the read layout ID of each usage history from the layout evaluation value storage unit 103 (step S53).

  The scoring engine evaluation value calculation means 107 uses the calculation score of each scoring engine for each read usage history and the layout evaluation value, and the lower the evaluation value per use is for the easier use in the layout, the reverse The evaluation value of each scoring engine is calculated so that the evaluation value per use becomes higher for the use in the layout that is difficult to find (step S54).

  That is, in calculating the scoring engine evaluation value, the scoring engine evaluation value per usage history of the content is calculated, and the sum of the evaluation values of each usage history is calculated. calculate. The ease of finding the content differs for each usage history, but the ease of finding the content can be determined by reading the layout evaluation value corresponding to the layout identifier of each usage history from the layout evaluation value storage means 103. Even for content that is difficult to find, scoring engines that calculate high content evaluation values are judged to be highly reliable scoring engines, and the scoring engine evaluation values of their usage history are relatively high. calculate.

  By this method, a scoring engine evaluation value is calculated for each usage history, and a total value of scoring engine evaluation values of all usage histories is calculated as an evaluation value of the scoring engine. The evaluation value of each scoring engine can be calculated as follows, for example.

  If there are a plurality of scoring engines, let Y be any scoring engine. The number of usage histories included in the content usage history storage unit 101 is n. When the usage history included in the content usage history storage unit 101 is Hx (x = 0... N), the score calculated by the scoring engine Y for the content indicated by each usage history Hx is used. Let Sx (y). The layout evaluation value for the layout identifier of the content indicated by each usage history Hx is Lx. For each usage history Hx, the sum of the scores calculated by all scoring engines is Sx (all).

  The score Sx (y) calculated by the scoring engine Y divided by the total score Sx (all) of all the scoring engines is calculated by the scoring engine Y out of the total scores calculated by all the scoring engines. Become a percentage of the score. A value obtained by multiplying the ratio by the reciprocal of the layout evaluation value is used as an evaluation value of the scoring engine Y for each usage history, and the scoring engine evaluation value Sy is calculated for each usage history. It is good also as the sum of. This calculation method can be expressed as (Equation 3).

  The scoring engine evaluation value calculation means 107 may calculate the scoring engine evaluation value in real time every time the user who uses the content uses the content. Alternatively, the scoring engine evaluation value calculation unit 107 may periodically calculate the scoring engine evaluation value. Or the scoring engine evaluation value calculation means 107 may calculate the evaluation value of a scoring engine for every user.

  In the present embodiment, the scoring engine evaluation value can be used as the weight of each scoring engine when calculating the content evaluation value.

  The scoring engine evaluation value calculation unit 107 repeats the processing of step S52 to step S54 until the evaluation values of all scoring engines are calculated, and the scoring engine evaluation value calculation unit 107 evaluates all scoring engines. When the calculation of the value is completed, the process is terminated (step S55).

  In the present embodiment, a method is described in which the scoring engine evaluation value calculation unit 107 reads the content score calculated by the scoring engine from the content evaluation history storage unit 106 and calculates the scoring engine evaluation value. However, the method of calculating the scoring engine evaluation value is not limited to this method.

  For example, the content evaluation value calculation unit 104 ′ temporarily stores the content score received from the scoring engine 400 in a storage unit (not shown) during the session period, and stores the content score in the content usage history storage unit 101. The evaluation value of the scoring engine may be calculated in association with the stored content usage history in the same session. In such a case, the system may not include the content evaluation history storage unit 106.

  For example, the evaluation value of the scoring engine may be calculated using the following method.

  First, the content evaluation value calculation unit 104 ′ transmits the content score calculated by each scoring engine (hereinafter, referred to as each calculation score) to the user terminal 200 together with the content evaluation value. When the content usage history transmission unit 201 transmits the content usage history to the content evaluation apparatus 100, the content usage history transmission unit 201 transmits the calculated scores corresponding to the content together. When the content evaluation apparatus 100 receives the content usage history from the usage terminal, the registration unit (not shown) in the content usage history storage unit 101 stores the usage history received from the usage terminal 200 in the content usage history storage unit 101. Let The scoring engine evaluation value calculation unit 107 calculates a scoring engine evaluation value from each usage history stored in the usage history storage unit 101 and the layout evaluation value storage unit 103 by the method shown in (Expression 3).

  In such a case, since it is not necessary to read the scoring engine calculation score from the content evaluation history storage unit 106, the content evaluation history storage unit 106 may not be provided in the present system.

  These methods are content evaluation value calculation means 104 ′, scoring engine evaluation value calculation means 107, and means for registering content usage history received from the usage terminal 200 in the content usage history storage means 101 (not shown). Is realized by the CPU of the content evaluation apparatus 100 that operates according to the information evaluation program, for example. For example, as described in the first embodiment, the CPU may read a program and perform operations as the content evaluation value calculation unit 104, the scoring engine evaluation value calculation unit 107, and the like according to the program.

  FIG. 19 is a flowchart illustrating an example of processing in which the content evaluation value calculation unit 104 ′ calculates a content evaluation value.

  The content evaluation value calculation unit 104 'receives the content evaluation request from the content evaluation request unit 202 of the usage terminal 200 (step S61). At this time, the content evaluation request receives a content evaluation condition necessary for the scoring engine 400 to evaluate the content. The content evaluation value calculation unit 104 ′ receives, for example, the content ID and user ID to be evaluated. Further, the number of conditions is not limited to one, and a plurality of conditions may be received.

  The content evaluation value calculation unit 104 'transmits the content evaluation conditions received from the use terminal 200 to the scoring engine 400 (step S62). The scoring engine 400 is not limited to one, and a plurality of scoring engines 400 may exist. The content evaluation value calculation unit 104 'receives a list of content and content score pairs that meet the content evaluation condition from the scoring engine 400 (step S63). The content evaluation value calculation unit 104 ′ uses the scoring engine calculation score for each content and the scoring engine evaluation value recorded in the scoring engine evaluation value storage unit 108 to calculate the evaluation value of each content. Calculate (step S64). The following methods can be considered as the content evaluation value calculation method.

  Arbitrary content in the content usage history list corresponding to the content evaluation condition is C, and the number of scoring engines is m. The scoring engine recorded in the scoring engine evaluation value storage means 108 is Sc (y), the scoring engine Y score is Sc (y), the scoring engine Y weight is Sc (y), and the scoring engine Y weight is Sc (y). The evaluation value Sy of Y is assumed. At this time, an evaluation value for the content C of the scoring engine Y can be calculated by multiplying the score for the content C of the scoring engine Y by the weight Wy of the scoring engine Y. This may be performed for all scoring engines, the evaluation value for the content C of each scoring engine may be calculated, and the sum of these may be used as the evaluation value Sc for the content C. This calculation method can be expressed as (Equation 4).

  As the weight Wy of the scoring engine Y, the scoring engine evaluation value Sy calculated by (Equation 3) may be used. In this case, (Formula 4) can be expressed as the following (Formula 5).

  The content evaluation value calculation unit 104 ′ may calculate the content evaluation value in real time every time a content evaluation request is received. Alternatively, if the content evaluation device 100 includes storage means (not shown) for storing the content evaluation value, the content evaluation value calculation means 104 ′ periodically calculates the content evaluation value, and the storage device It may be held in Alternatively, the content evaluation value calculation unit 104 ′ may calculate the content evaluation value for each user as well as for each content.

  The content evaluation value calculation unit 104 ′ repeats the process of step S <b> 64 until the evaluation values of all the contents included in the content usage history list that matches the content evaluation conditions are calculated. When the content evaluation value calculation unit 104 ′ completes the calculation of the evaluation values for all the contents (step S65), the content evaluation value calculation unit 104 ′ determines the content information corresponding to the content ID of each content for which the evaluation value is calculated. Received from the content index 300 (step S66). The reception of the content information is arbitrary. For example, if the use terminal 200 does not request the content information or does not include the content index 300, the content evaluation value calculation unit 104 ′ obtains the content information from the content index 300. You do not have to receive it. The content evaluation value calculation unit 104 'transmits the calculated content evaluation value and the content information when the content information is received to the use terminal 200 that is the request source (step S67).

  According to the present invention, the scoring engine evaluation value calculation unit 107 evaluates the scoring engine 400 based on the layout evaluation value, and the scoring engine evaluation value calculation unit 107 performs the scoring engine evaluation value storage unit 108. The content evaluation value calculation unit 104 ′ reads the content usage history from the content usage history storage unit 101, and calculates the content evaluation value based on the evaluation value of the scoring engine. . Therefore, it is possible to reduce the evaluation bias due to the layout at the time of providing information while realizing the provision of information according to the evaluation of the content.

  FIG. 20 is a block diagram showing a first outline of the information evaluation apparatus of the present invention. An information evaluation apparatus (for example, the content evaluation apparatus 100) according to the present invention includes a content usage history storage unit 81 (for example, a content usage history storage unit 101) that stores a content usage history, and a content evaluation that quantifies the content evaluation. Content evaluation value calculation means 82 for calculating a value (for example, content evaluation value calculation means 104), layout identifier (for example, layout ID) assigned according to the layout to which the content is output, and finding of the layout to which the content is output A layout evaluation value storage unit 83 (for example, a layout evaluation value storage unit 103) that stores the layout evaluation value in which the ease is digitized in association with each other is provided.

  The content usage history storage unit 81 stores a usage history in which a content identifier for identifying used content is associated with a layout identifier corresponding to the layout from which the content is output. The content evaluation value calculation unit 82 reads the layout evaluation value corresponding to the layout identifier of each usage history stored in the content usage history storage unit 81 from the layout evaluation value storage unit 83, and the layout evaluation value of the content usage history stores the content. The content evaluation value is calculated so as to decrease the content evaluation value per usage history as the information is easily found (for example, (Equation 1)).

  With such a configuration, it is possible to reduce the evaluation bias due to the layout at the time of information provision, while realizing the information provision according to the content evaluation.

  Further, the content evaluation value calculation unit 82 may calculate the content evaluation value of each usage history using the reciprocal of the layout evaluation value (for example, (Equation 1)).

  FIG. 21 is a block diagram showing a second outline of the information evaluation apparatus of the present invention. An information evaluation apparatus (for example, the content evaluation apparatus 100) according to the present invention includes a content usage history storage unit 91 (for example, a content usage history storage unit 101) that stores a usage history of content, and a scoring that calculates an evaluation value of the content. Content evaluation history storage unit 92 (for example, content evaluation history storage unit 106) that stores the first content evaluation value evaluated by the engine, and content evaluation value calculation unit that calculates the second content evaluation value obtained by quantifying the content evaluation 93 (for example, content evaluation value calculation means 104 ′), a layout identifier assigned according to the layout in which the content is output, and a layout evaluation value in which the ease of finding the layout in which the content is output are quantified are associated with each other Layout evaluation value storage means 4 (for example, layout evaluation value storage unit 103) and scoring engine evaluation value calculation unit 95 (for example, scoring engine evaluation value calculation unit 107) that calculates a scoring engine evaluation value obtained by quantifying the reliability of the scoring engine. And scoring engine evaluation value storage means 96 (for example, scoring engine evaluation value storage means 108) for storing the scoring engine evaluation value calculated by the scoring engine evaluation value calculation means 95.

  The content usage history storage unit 91 stores a usage history in which a content identifier for identifying used content is associated with a layout identifier corresponding to the layout from which the content is output.

  The scoring engine evaluation value calculation unit 95 indicates that the layout evaluation value stored in the layout evaluation value storage unit 94 corresponding to the layout identifier of the usage history stored in the content usage history storage unit 91 is easy to find the content. The scoring engine evaluation value calculation unit 951 for calculating the scoring engine evaluation value of the scoring engine higher than the scoring engine for calculating the first content evaluation value of the content lower, and the scoring engine evaluation value Scoring engine evaluation value registration means 952 registered in the ring engine evaluation value storage means 96.

  The content evaluation value calculating unit 93 receives the first content evaluation value from the scoring engine, and registers the first content evaluation value in the content evaluation history storage unit 92. The scoring engine Is provided with second content evaluation value calculation means 932 for calculating a second content evaluation value from the first content evaluation value calculated by the above and the scoring engine evaluation value stored in the scoring engine evaluation value storage means 96. Yes.

  With such a configuration, it is possible to reduce the evaluation bias due to the layout at the time of information provision, while realizing the information provision according to the content evaluation.

  The scoring engine evaluation value calculation unit 951 stores the reciprocal of the layout evaluation value corresponding to the content of the usage history in the content evaluation history storage unit 92 for each usage history stored in the content usage history storage unit 91. The scoring engine evaluation value per usage history is calculated by multiplying the first content evaluation value corresponding to the content calculated by the scoring engine, and the scoring engine evaluation value per usage history is calculated for each scoring engine. The scoring engine evaluation value may be calculated by aggregation (for example, (Equation 3)).

  The first content evaluation value registration unit 931 receives the first content evaluation value from the plurality of scoring engines, normalizes the first content evaluation value based on the range of the first content evaluation value of each scoring engine, The normalized first content evaluation value may be registered in the content evaluation history storage unit 92.

  The second embodiment further includes a layout evaluation value calculation unit (for example, a layout evaluation value calculation unit 105) that calculates a layout evaluation value, and the layout evaluation value calculation unit includes the content use history storage unit 81 or As the number of layout identifiers included in the content usage history stored in the content usage history storage unit 91 increases, the layout evaluation value is calculated higher (for example, (Equation 2)) and the layout evaluation value storage unit 83 or A configuration registered in the layout evaluation value storage means 94 is disclosed.

  The layout evaluation value calculation unit calculates the number of layout identifiers included in the content usage history stored in the content usage history storage unit 81 or the content usage history storage unit 91, and the content usage history storage unit 81 or content usage. The layout evaluation value may be calculated by dividing the total usage history number of contents stored in the history storage unit 91.

  FIG. 22 is a block diagram showing a first outline of the information evaluation system of the present invention. The information evaluation system according to the present invention includes a use terminal 70 (for example, use terminal 200) that uses content, and an information evaluation device 80 ′ (for example, that transmits a content evaluation value obtained by quantifying the content evaluation to the use terminal 70). Content evaluation apparatus 100).

  The use terminal 70 transmits a content condition to be evaluated to the information evaluation device 80 ′, thereby requesting a content evaluation value corresponding to the condition from the information evaluation device 80 ′ (for example, a content evaluation request). Means 202).

  In addition to the configuration of the information evaluation device 80 shown in FIG. 20, the information evaluation device 80 ′ includes content evaluation value transmission means 84 (for example, content evaluation value calculation means 104) that transmits a content evaluation value to the use terminal 70. Yes. In addition, about the structure similar to the information evaluation apparatus 80 shown in FIG. 20, the code | symbol same as FIG. 20 is attached | subjected and description is abbreviate | omitted.

  FIG. 23 is a block diagram showing a second outline of the information evaluation system of the present invention. The information evaluation system according to the present invention may include an information evaluation device 90 'shown in FIG. 23 instead of the information evaluation device 80' shown in FIG.

  In addition to the configuration of the information evaluation device 90 shown in FIG. 21, the information evaluation device 90 ′ includes a content evaluation value transmission unit 97 (for example, a content evaluation value calculation unit 104) that transmits a content evaluation value to the use terminal 70. Yes. In addition, about the structure similar to the information evaluation apparatus 90 shown in FIG. 21, the code | symbol same as FIG. 21 is attached | subjected and description is abbreviate | omitted.

  With such a configuration, it is possible to reduce the evaluation bias due to the layout at the time of information provision, while realizing the information provision according to the content evaluation.

  In the above embodiment, the usage terminal 70 includes content usage history transmission means (for example, the content usage history transmission means 201) for transmitting the usage history of the content to the information evaluation device 80 ′. When the content usage history is received from the usage terminal 70, the usage history registration unit (for example, the content usage history storage) registers the content usage history in the content usage history storage unit 81 (for example, the content usage history storage unit 101). A configuration provided with means for registering with the means 101 is disclosed.

  The present invention is suitably applied to an information evaluation apparatus that evaluates content and a scoring engine that calculates content scores.

It is a block diagram which shows the example of the information evaluation system of 1st Embodiment. It is explanatory drawing which shows the example of a content utilization log | history. It is explanatory drawing which shows the example of a layout evaluation value. It is explanatory drawing which shows the example of content information. It is a flowchart which shows the example of the process which registers the utilization history of a content in 1st Embodiment. 6 is a flowchart illustrating an example of processing for registering a layout evaluation value in the first embodiment. It is a flowchart which shows the example of the process which evaluates a content in 1st Embodiment. It is a block diagram which shows the example of the information evaluation system of 2nd Embodiment. It is a flowchart which shows the example of the process of 2nd Embodiment. It is explanatory drawing which shows the example of the mobile telephone used as the utilization terminal. It is explanatory drawing which shows the example of a layout evaluation value. It is explanatory drawing which shows the example when the content is selected. It is explanatory drawing which shows the example of the content of the content utilization log | history memory means. The calculation formula of content evaluation value is shown. It is explanatory drawing which shows the example when a content is displayed. It is a block diagram which shows the example of the information evaluation system of 3rd Embodiment. It is explanatory drawing which shows the example of the calculation score of a content. It is a flowchart which shows the example of the process which calculates a scoring engine evaluation value in 3rd Embodiment. It is a flowchart which shows the example of the process which calculates a content evaluation value in 3rd Embodiment. It is a block diagram which shows the 1st outline | summary of the information evaluation apparatus of this invention. It is a block diagram which shows the 2nd outline | summary of the information evaluation apparatus of this invention. It is a block diagram which shows the 1st outline | summary of the information evaluation system of this invention. It is a block diagram which shows the 2nd outline | summary of the information evaluation system of this invention.

Explanation of symbols

100 content evaluation apparatus 101 content use history storage means 102 layout evaluation value registration means 103 layout evaluation value storage means 104, 104 'content evaluation value calculation means 105 layout evaluation value calculation means 106 content evaluation history storage means 107 scoring engine evaluation value calculation Means 108 Scoring engine evaluation value storage means 200 User terminal 201 Content use history transmission means 202 Content evaluation request means 300 Content index 400 Scoring engine 70 User terminal 71 Content evaluation request means 80, 80 ′, 90, 90 ′ Content evaluation apparatus 81, 91 Content usage history storage means 82, 93 Content evaluation value calculation means 83, 94 Layout evaluation value storage means 84, 97 Content evaluation value transmission means 92 Evaluation history storage means 95 scoring engine evaluation value calculation means 96 scoring engine evaluation value storage means

Claims (18)

Content usage history storage means for storing content usage history;
Content evaluation value calculating means for calculating a content evaluation value obtained by quantifying the content evaluation;
Layout evaluation value storage means for storing a layout identifier assigned according to the layout in which the content is output and a layout evaluation value in which the ease of finding the layout in which the content is output is quantified in association with each other;
The content usage history storage means stores a usage history in which a content identifier for identifying used content is associated with a layout identifier corresponding to a layout from which the content is output,
The content evaluation value calculation means includes
The layout evaluation value corresponding to the layout identifier of each usage history stored in the content usage history storage means is read from the layout evaluation value storage means, and the usage history shows that the layout evaluation value of the content usage history is easier to find the content. A content evaluation value is calculated so as to lower a per-content evaluation value. The content evaluation value calculation means
The information evaluation apparatus according to claim 1, wherein the content evaluation value of each usage history is calculated using an inverse of the layout evaluation value. Content usage history storage means for storing content usage history;
Content evaluation history storage means for storing a first content evaluation value evaluated by a scoring engine that calculates an evaluation value of content;
Content evaluation value calculating means for calculating a second content evaluation value obtained by quantifying the content evaluation;
Layout evaluation value storage means for storing a layout identifier assigned according to the layout to which the content is output and a layout evaluation value in which the ease of finding the layout from which the content is output is stored in association with each other;
Scoring engine evaluation value calculating means for calculating a scoring engine evaluation value obtained by quantifying the reliability of the scoring engine;
Scoring engine evaluation value storage means for storing the scoring engine evaluation value calculated by the scoring engine evaluation value calculation means;
The content usage history storage means stores a usage history in which a content identifier for identifying used content is associated with a layout identifier corresponding to a layout from which the content is output,
The scoring engine evaluation value calculation means includes:
The scoring engine that calculates the first content evaluation value of the content lower as the layout evaluation value corresponding to the layout identifier of the usage history stored in the content usage history storage means indicates that the content is easier to find. A scoring engine evaluation value calculating means for calculating a scoring engine evaluation value of the scoring engine high;
Scoring engine evaluation value registration means for registering the scoring engine evaluation value in the scoring engine evaluation value storage means;
The content evaluation value calculation means includes
First content evaluation value registration means for receiving a first content evaluation value from the scoring engine and registering the first content evaluation value in a content evaluation history storage means;
Second content evaluation value calculating means for calculating a second content evaluation value from the first content evaluation value calculated by the scoring engine and the scoring engine evaluation value stored in the scoring engine evaluation value storage means; An information evaluation apparatus characterized by comprising: The scoring engine evaluation value calculation means
For each usage history stored in the content usage history storage unit, the reciprocal of the layout evaluation value corresponding to the content of the usage history corresponds to the content calculated by the scoring engine stored in the content evaluation history storage unit Multiply the first content evaluation value to calculate a scoring engine evaluation value per usage history,
The information evaluation apparatus according to claim 3, wherein the scoring engine evaluation value is calculated for each scoring engine by calculating the scoring engine evaluation value per usage history. The first content evaluation value registration means
Receiving first content evaluation values from a plurality of scoring engines;
Normalizing the first content evaluation value based on a range of the first content evaluation value of each scoring engine;
The information evaluation apparatus according to claim 3, wherein the normalized first content evaluation value is registered in a content evaluation history storage unit. A layout evaluation value calculating means for calculating a layout evaluation value;
The layout evaluation value calculation means includes:
The layout evaluation value is calculated higher and registered in the layout evaluation value storage unit as the number of layout identifiers included in the content usage history stored in the content usage history storage unit increases. The information evaluation apparatus according to claim 1. The layout evaluation value calculation means
The layout evaluation value is calculated by dividing the number of layout identifiers included in the content usage history stored in the content usage history storage unit by the total usage history number of content stored in the content usage history storage unit. 6. The information evaluation apparatus according to 6. A terminal that uses the content,
An information evaluation device that transmits a content evaluation value obtained by quantifying the content evaluation to the user terminal,
The user terminal is
Content evaluation requesting means for requesting the information evaluation device for a content evaluation value according to the condition by transmitting the content evaluation condition to the information evaluation device,
The information evaluation apparatus includes:
Content usage history storage means for storing content usage history;
Content evaluation value calculating means for calculating a content evaluation value;
Content evaluation value transmitting means for transmitting the content evaluation value to the user terminal;
Layout evaluation value storage means for storing a layout identifier assigned according to the layout in which the content is output and a layout evaluation value in which the ease of finding the layout in which the content is output is quantified and stored;
The content usage history storage means stores a usage history in which a content identifier for identifying used content is associated with a layout identifier corresponding to a layout from which the content is output,
The content evaluation value calculation means includes
The layout evaluation value corresponding to the layout identifier of each usage history stored in the content usage history storage means is read from the layout evaluation value storage means, and the usage history shows that the layout evaluation value of the content usage history is easier to find the content. A content evaluation value is calculated so that the content evaluation value per unit is low. A terminal that uses the content,
An information evaluation device that transmits a content evaluation value obtained by quantifying the content evaluation to the user terminal,
The user terminal is
Content evaluation requesting means for requesting the information evaluation device for a content evaluation value according to the condition by transmitting the content evaluation condition to the information evaluation device,
The information evaluation apparatus includes:
Content usage history storage means for storing content usage history;
Content evaluation history storage means for storing a first content evaluation value evaluated by a scoring engine that calculates an evaluation value of content;
Content evaluation value calculating means for calculating a second content evaluation value obtained by quantifying the content evaluation;
Content evaluation value transmitting means for transmitting the second content evaluation value to the user terminal;
Layout evaluation value storage means for storing a layout identifier assigned according to the layout to which the content is output and a layout evaluation value in which the ease of finding the layout from which the content is output is stored in association with each other;
Scoring engine evaluation value calculating means for calculating a scoring engine evaluation value obtained by quantifying the reliability of the scoring engine;
Scoring engine evaluation value storage means for storing the scoring engine evaluation value calculated by the scoring engine evaluation value calculation means;
The content usage history storage means stores a usage history in which a content identifier for identifying used content is associated with a layout identifier corresponding to a layout from which the content is output,
The scoring engine evaluation value calculation means includes:
The scoring engine that calculates the first content evaluation value of the content lower as the layout evaluation value corresponding to the layout identifier of the usage history stored in the content usage history storage means indicates that the content is easier to find. A scoring engine evaluation value calculating means for calculating a scoring engine evaluation value of the scoring engine high;
Scoring engine evaluation value registration means for registering the scoring engine evaluation value in the scoring engine evaluation value storage means;
The content evaluation value calculation means includes
First content evaluation value registration means for receiving a first content evaluation value from the scoring engine and registering the first content evaluation value in a content evaluation history storage means;
Second content evaluation value calculating means for calculating a second content evaluation value from the first content evaluation value calculated by the scoring engine and the scoring engine evaluation value stored in the scoring engine evaluation value storage means; An information evaluation system characterized by comprising: The terminal used is
A content usage history transmitting means for transmitting a content usage history to the information evaluation device;
Information evaluation device
The information evaluation system according to claim 8, further comprising: a usage history registration unit that registers the usage history of the content in the content usage history storage unit when the usage history of the content is received from a usage terminal. Usage history of content from layout evaluation value storage means for storing a layout identifier assigned according to the layout to which the content is output and a layout evaluation value in which the ease of finding the layout from which the content is output is stored in association with each other A layout evaluation value reading step for reading a layout evaluation value corresponding to the layout identifier stored in the content use history storage means for storing
A content evaluation value calculating step of calculating so as to lower the content evaluation value per usage history as the layout evaluation value indicates that the content can be found more easily. In the content evaluation value calculation step,
The information evaluation method according to claim 11, wherein the content evaluation value of each usage history is calculated using an inverse of the layout evaluation value. A first content evaluation value registration step of receiving a first content evaluation value evaluated by the scoring engine from the scoring engine that calculates the evaluation value of the content, and registering it in the content evaluation history storage unit;
Layout evaluation stored in layout evaluation value storage means for storing a layout identifier assigned according to the layout in which the content is output and a layout evaluation value obtained by quantifying the ease of finding the layout in which the content is output. From the value and the layout identifier of the usage history stored in the content usage history storage unit that stores the usage history of the content, the first content evaluation value of the content is expressed as the layout evaluation value indicates that the content is easier to find. A scoring engine evaluation value calculation step for calculating a scoring engine evaluation value obtained by quantifying the reliability of the scoring engine with respect to a scoring engine to be calculated low;
A scoring engine evaluation value registration step of registering the scoring engine evaluation value in a scoring engine evaluation value storage means;
Content for calculating a second content evaluation value obtained by quantifying the content evaluation from the first content evaluation value calculated by the scoring engine and the scoring engine evaluation value stored in the scoring engine evaluation value storage means An information evaluation method comprising: an evaluation value calculation step. In the scoring engine evaluation value calculation step,
For each usage history stored in the content usage history storage unit, the reciprocal of the layout evaluation value corresponding to the content of the usage history corresponds to the content calculated by the scoring engine stored in the content evaluation history storage unit Multiply the first content evaluation value to calculate a scoring engine evaluation value per usage history,
The information evaluation method according to claim 13, wherein the scoring engine evaluation value is calculated for each scoring engine by calculating the scoring engine evaluation value per usage history. On the computer,
Usage history of content from layout evaluation value storage means for storing a layout identifier assigned according to the layout to which the content is output and a layout evaluation value in which the ease of finding the layout from which the content is output is stored in association with each other A layout evaluation value reading process for reading a layout evaluation value corresponding to the layout identifier stored in the content usage history storage means, and
An information evaluation program for executing a content evaluation value calculation process for calculating so as to lower the content evaluation value per usage history as the layout evaluation value indicates that it is easier to find the content. On the computer,
The information evaluation program according to claim 15, wherein in the content evaluation value calculation process, the content evaluation value of each usage history is calculated using the reciprocal of the layout evaluation value. On the computer,
A first content evaluation value registration process for receiving a first content evaluation value evaluated by the scoring engine from the scoring engine that calculates the evaluation value of the content and registering it in the content evaluation history storage unit;
Layout evaluation stored in layout evaluation value storage means for storing a layout identifier assigned according to the layout in which the content is output and a layout evaluation value obtained by quantifying the ease of finding the layout in which the content is output. From the value and the layout identifier of the usage history stored in the content usage history storage unit that stores the usage history of the content, the first content evaluation value of the content is expressed as the layout evaluation value indicates that the content is easier to find. A scoring engine evaluation value calculation process for calculating a high scoring engine evaluation value obtained by quantifying the reliability of the scoring engine relative to a scoring engine to be calculated low
A scoring engine evaluation value registration process for registering the scoring engine evaluation value in the scoring engine evaluation value storage means; and
Content for calculating a second content evaluation value obtained by quantifying the content evaluation from the first content evaluation value calculated by the scoring engine and the scoring engine evaluation value stored in the scoring engine evaluation value storage means An information evaluation program for executing evaluation value calculation processing. On the computer,
In the scoring engine evaluation value calculation process, for each usage history stored in the content usage history storage unit, the reciprocal of the layout evaluation value corresponding to the content of the usage history is stored in the content evaluation history storage unit. The scoring engine evaluation value per usage history is calculated by multiplying the first content evaluation value corresponding to the content calculated by the ring engine, and the scoring engine evaluation value per usage history is calculated for each scoring engine. The information evaluation program according to claim 17, wherein the scoring engine evaluation value is calculated by aggregation.

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