CN111160953A - Method and device for delivering advertisement in application and storage medium - Google Patents
Method and device for delivering advertisement in application and storage medium Download PDFInfo
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- CN111160953A CN111160953A CN201911275825.3A CN201911275825A CN111160953A CN 111160953 A CN111160953 A CN 111160953A CN 201911275825 A CN201911275825 A CN 201911275825A CN 111160953 A CN111160953 A CN 111160953A
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Abstract
The embodiment of the invention provides an in-application advertisement delivery method, an in-application advertisement delivery device and a storage medium, which are used for solving the technical problems of single advertisement delivery mode and poor user experience in the prior art. The method comprises the following steps: counting the opening times of each page in a plurality of pages, wherein the pages are pages in the same application program; dividing the plurality of pages into at least two categories according to the opening times of each page in the plurality of pages; counting the operated times of each type of advertisement on each type of page in at least one type of advertisement, and determining the page type suitable for putting the type of advertisement according to the operated times of each type of advertisement on each type of page; and judging whether the category of the page to which each advertisement in each category of advertisements is currently put is a page category suitable for putting the advertisement, if not, adjusting the advertisement to the page of the page category suitable for putting the advertisement.
Description
Technical Field
The present application relates to the internet field, and in particular, to a method, an apparatus, and a storage medium for delivering an in-application advertisement.
Background
With the development of mobile application technology, it is a conventional way to realize the emergence of applications through advertisements.
In the prior art, the application providers generally prioritize the advertisements of each application provider according to the advertisement funds invested by each advertisement provider, and place the advertisement with high priority on the page with higher level in the application (for example, the main page of the application).
But different users have different product needs and preferences for the user. According to the prior art delivery method, each advertisement has some users who do not like the advertisement, and the users generally choose to ignore or block the advertisement, so that the advertising effectiveness of the advertisement cannot be obtained from the users for the advertiser, and even the users may generate stronger emotional reaction to the product of the advertiser, further causing the loss of the advertiser, and finally causing the dissatisfaction of the advertiser with the advertising effectiveness, and the application cannot be realized through the advertisement.
Therefore, the technical problems of single advertisement putting mode and poor user experience exist in the prior art.
Disclosure of Invention
The embodiment of the invention provides an in-application advertisement delivery method, an in-application advertisement delivery device and a storage medium, which are used for solving the technical problems of single advertisement delivery mode and poor user experience in the prior art.
In a first aspect, an embodiment of the present invention provides an in-application advertisement delivery method, including:
counting the opening times of each page in a plurality of pages, wherein the pages are pages in the same application program;
dividing the plurality of pages into at least two categories according to the opening times of each page in the plurality of pages;
counting the operated times of each type of advertisement on each type of page in at least one type of advertisement, and determining the page type suitable for putting the type of advertisement according to the operated times of each type of advertisement on each type of page;
and judging whether the category of the page to which each advertisement in each category of advertisements is currently put is a page category suitable for putting the advertisement, if not, adjusting the advertisement to the page of the page category suitable for putting the advertisement.
In the embodiment of the invention, the page suitable for putting each type of advertisement is determined by counting the opening times of each type of page of the application program by the user and the operated number of each type of advertisement, so that the effect of adjusting the advertisement putting position according to the overall preference of the user can be realized, the flexibility of the advertisement putting mode in the application is improved, the condition that the user dislikes the advertisement can be better improved, the user experience is improved, and the advertisement benefit is improved.
Optionally, dividing the plurality of pages into at least two categories according to the number of times of opening on each page of the plurality of pages, including: sequencing the plurality of pages according to the sequence of opening times from small to large; and dividing the sorted pages into at least two categories, wherein the opening times of the pages in different categories are in different threshold ranges.
By the method, the pages are sequenced according to the opening times of the pages, and the pages are classified according to the sequencing result, so that the effect of classifying the pages according to the use times of the pages by a user can be realized.
Optionally, determining a page category suitable for the advertisement to be delivered according to the number of times the advertisement is operated on each page includes: calculating the integral of the advertisement on each type of page based on the operated times of the advertisement on each type of page and the opening times of each type of page; determining a page with the highest score corresponding to the advertisement as a page type suitable for putting the advertisement; or determining a page type corresponding to the advertisement with the point larger than a set threshold value as a page type suitable for delivering the advertisement.
According to the method, the integration of each type of advertisement on each type of page is calculated by counting the operation times of each type of advertisement on each type of page and the opening times of each type of page, so that the effect of determining the page type suitable for putting each type of advertisement according to the integration of each type of advertisement on each type of page is achieved, the flexibility of an advertisement putting mode in application can be improved, the user experience is improved, and the advertisement benefit is improved.
Optionally, the points of the first type of advertisement on the first type of page satisfy the following relationship: Sum-P + a × N-b × M; n is the operation times of the advertisement on the page, P is the initial integral of the advertisement on the page, M is the opening times of the page, a and b are weighting coefficients, and both a and b are greater than 0.
Through the method, the integral of each type of advertisement on each type of page is calculated based on the operated times of the advertisement and the opening times of the page, the calculated integral can intuitively reflect the suitability degree of the advertisement and the page, and the suitability of each type of advertisement determined based on the integral is particularly high in reliability.
Optionally, determining a page category suitable for the advertisement to be delivered according to the number of times the advertisement is operated on each page includes: determining a page type with the highest operated times corresponding to the advertisement type as a page type suitable for putting the advertisement type; or determining a page type corresponding to the advertisement with the operation times larger than a set threshold as a page type suitable for putting the advertisement.
Through the embodiment mode, each advertisement in each type of advertisements is launched to the type of page with the highest operation frequency or the type of page with the operation frequency larger than the set threshold value, so that the launching of the advertisement on the page with poor launching effect can be reduced, the launching cost is reduced, the launching of the advertisement on the page with good launching effect is increased, and the advertisement benefit is increased.
Optionally, determining a page category suitable for the advertisement to be delivered according to the number of times the advertisement is operated on each page includes: determining the ratio of the operated times of the advertisement on each type of page to the opening times of each type of page as the click rate of the advertisement on each type of page; determining a page type with the highest click rate corresponding to the advertisement as a page type suitable for putting the advertisement; or determining a page type corresponding to the advertisement with the click rate larger than a set threshold value as a page type suitable for delivering the advertisement.
Through the embodiment mode, each advertisement in each type of advertisement is delivered to the type of page with the highest advertisement click rate or the type of page with the click rate larger than the set threshold value, so that the delivery of the advertisement on the page with poor delivery effect can be reduced, the delivery cost is reduced, the delivery of the advertisement on the page with good delivery effect is increased, and the advertisement benefit is increased.
Optionally, counting the number of times of opening each page of the plurality of pages includes: counting the times of opening each page in a plurality of pages by each user in at least one class of users; counting the number of times each type of advertisement in at least one type of advertisement is operated on each type of page, wherein the counting comprises the following steps: counting the operation times of the class users on each class of advertisements in at least one class of advertisements on each class of pages; determining the page type suitable for the advertisement to be delivered according to the operated times of the advertisement on various pages, comprising the following steps: determining the page type of the advertisement which is suitable for being delivered by the user according to the times of the operation of the advertisement on various pages by the user; judging whether the category of the page to which each advertisement in the advertisement is currently put is the page category suitable for putting the advertisement, if not, adjusting the advertisement on the page of the page category suitable for putting the advertisement, comprising: and judging whether the type of each advertisement in the advertisement aiming at the page currently put by the user is the page type of the advertisement suitable for putting by the user, if not, adjusting the advertisement to the page of the advertisement aiming at the page type of the advertisement suitable for putting by the user.
Through this embodiment mode, through collecting user's information, classify the user based on the collection result again, then confirm its advertisement putting strategy respectively to the user of different categories for different user categories can adopt different advertisement putting methods, realize the effect based on accurate advertisement of putting of user category, can further improve the flexibility that advertisement putting was placed in using, optimize user experience.
In a second aspect, an embodiment of the present invention further provides an in-application advertisement delivery apparatus, including:
the statistical module is used for counting the opening times of each page in a plurality of pages, wherein the pages are pages in the same application program;
the processing module is used for dividing the plurality of pages into at least two categories according to the opening times of each page in the plurality of pages;
the statistics module is further configured to: counting the operated times of each type of advertisement in at least one type of advertisement on each type of page;
the processing module is further configured to: determining the page type suitable for the advertisement to be delivered according to the operated times of each type of advertisement on various pages; and judging whether the category of the page to which each advertisement in each category of advertisements is currently put is a page category suitable for putting the advertisement, if not, adjusting the advertisement to the page of the page category suitable for putting the advertisement.
Optionally, when the processing module divides the plurality of pages into at least two categories according to the number of times of opening on each of the plurality of pages, the processing module is specifically configured to: sequencing the plurality of pages according to the sequence of opening times from small to large; and dividing the sorted pages into at least two categories, wherein the opening times of the pages in different categories are in different threshold ranges.
Optionally, when determining the page category suitable for the advertisement to be delivered according to the number of times the advertisement is operated on each page, the processing module is specifically configured to: calculating the integral of the advertisement on each type of page based on the operated times of the advertisement on each type of page and the opening times of each type of page; determining a page with the highest score corresponding to the advertisement as a page type suitable for putting the advertisement; or determining a page type corresponding to the advertisement with the point larger than a set threshold value as a page type suitable for delivering the advertisement.
Optionally, the points of the first type of advertisement on the first type of page satisfy the following relationship: Sum-P + a × N-b × M; n is the operation times of the advertisement on the page, P is the initial integral of the advertisement on the page, M is the opening times of the page, a and b are weighting coefficients, and both a and b are greater than 0.
Optionally, when determining the page category suitable for the advertisement to be delivered according to the number of times the advertisement is operated on each page, the processing module is specifically configured to: determining a page type with the highest operated times corresponding to the advertisement type as a page type suitable for putting the advertisement type; or determining a page type corresponding to the advertisement with the operation times larger than a set threshold as a page type suitable for putting the advertisement.
Optionally, when determining the page category suitable for the advertisement to be delivered according to the number of times the advertisement is operated on each page, the processing module is specifically configured to: determining the ratio of the operated times of the advertisement on each type of page to the opening times of each type of page as the click rate of the advertisement on each type of page; determining a page type with the highest click rate corresponding to the advertisement as a page type suitable for putting the advertisement; or determining a page type corresponding to the advertisement with the click rate larger than a set threshold value as a page type suitable for delivering the advertisement.
Optionally, when the counting module counts the number of times of opening each page of the plurality of pages, the counting module is specifically configured to: counting the times of opening each page in a plurality of pages by each user in at least one class of users; counting the operation times of the class users on each class of advertisements in at least one class of advertisements on each class of pages; when determining the page type suitable for the advertisement to be delivered according to the operated times of the advertisement on various pages, the processing module is specifically configured to: determining the page type of the advertisement which is suitable for being delivered by the user according to the times of the operation of the advertisement on various pages by the user; judging whether the category of the page to which each advertisement in the advertisement is currently put is the page category suitable for putting the advertisement, if not, adjusting the advertisement on the page of the page category suitable for putting the advertisement, and specifically: and judging whether the type of each advertisement in the advertisement aiming at the page currently put by the user is the page type of the advertisement suitable for putting by the user, if not, adjusting the advertisement to the page of the advertisement aiming at the page type of the advertisement suitable for putting by the user.
In a third aspect, an embodiment of the present invention provides an electronic device, including: the system comprises at least one processor, a memory and a communication interface, wherein the memory and the communication interface are in communication connection with the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the at least one processor is configured to execute the instructions in the memory to perform the method according to any of the alternative embodiments of the first aspect or the second aspect of the embodiments of the present invention when the instructions are executed.
In a fourth aspect, the embodiments of the present invention provide a computer-readable storage medium, which stores computer instructions that, when executed on a computer, cause the computer to perform the method according to any one of the optional implementation manners of the first aspect or the second aspect of the embodiments of the present invention.
The beneficial effects brought by the embodiments in the second aspect to the fourth aspect may be referred to the beneficial effects brought by the corresponding embodiments in the first aspect, and are not described in detail.
The invention has the following beneficial effects: the method has the advantages that the page suitable for advertisement putting is determined by counting the opening times of each type of page of the application program by the user and the operated number of each type of advertisement, the effect of adjusting the advertisement putting position according to the overall preference of the user can be realized, the flexibility of the advertisement putting mode in the application is improved, the condition that the user dislikes the advertisement can be well improved, the user experience is improved, and the advertisement benefit is improved.
Drawings
Fig. 1 is a schematic flow chart of an in-application advertisement delivery method according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart illustrating another method for delivering advertisements in an application according to an embodiment of the present invention;
FIG. 3 is a diagram of an in-application advertisement delivery apparatus according to an embodiment of the present invention;
fig. 4 is an electronic device according to an embodiment of the invention.
Detailed Description
The technical solutions of the present invention are described in detail below with reference to the drawings and the specific embodiments, and it should be understood that the specific features in the embodiments and the embodiments of the present invention are not intended to limit the technical solutions of the present invention, but may be combined with each other without conflict.
It is to be understood that the terms first, second, and the like in the description of the embodiments of the invention are used for distinguishing between the descriptions and not necessarily for describing a sequential or chronological order. "plurality" in the description of the embodiments of the present invention means two or more.
The term "and/or" in the embodiment of the present invention is only one kind of association relationship describing an associated object, and indicates that three relationships may exist, for example, a and/or B may indicate: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
The embodiment of the invention provides an in-application advertisement delivery method, which is used for solving the technical problems of single advertisement delivery mode and poor user experience in the prior art. The method may be applied to an electronic device which has a display screen and can perform network connection, where the electronic device may be a mobile phone, a tablet computer, a personal computer, and the like, and the embodiment of the present invention is not limited herein.
Please refer to fig. 1, which is a flowchart illustrating a method for delivering an in-application advertisement according to an embodiment of the present invention, the method includes:
s101, counting the opening times of each page in a plurality of pages, wherein the pages are pages in the same application program.
Specifically, the number of times that a plurality of users open each of a plurality of pages in an application program within a period of time is counted. For example, after entering the microblog, the user opens the home page three times, opens the hot page once, opens the hot search page two times, and the like, where the period of time may be one day, one week, half a month, and the like, and the embodiment of the present invention does not limit this.
S102, dividing the plurality of pages into at least two categories according to the opening times of each page in the plurality of pages.
Specifically, the pages can be sorted in the order of the opening times from small to large, and the sorted pages are divided into at least two categories, wherein the opening times of the pages in different categories are in different threshold ranges. When pages are classified according to a set threshold range, if the pages are classified into two types, the pages may be first-type pages and second-type pages, and the corresponding threshold range is also the first threshold range and the second threshold range, and if the pages are classified into three types, the pages may be first-type pages, second-type pages and third-type pages, and the corresponding threshold is also the first threshold range, the second threshold range and the third threshold range, and the higher the page type is, the higher the importance degree of the page by the user is, which is not limited in the embodiment of the present invention. Note that there is no overlapping portion of the different threshold ranges.
Illustratively, the situation that a user uses a microblog for a period of time is recorded: the list page is opened 101 times, the hot page is opened 245 times, the hot search page is opened 58 times, and the first page list page is opened 7 times. The ranking can be divided into three types of pages according to the number of times of opening the related pages, the ranking results are a list page, a hot search page, a hot page and a top page, the first threshold range can be set to be 1-50 of the opening times, the second threshold range can be set to be 51-100 of the opening times, the third threshold range is 101- ∞, and then the list page and the hot page in the first type of pages can be obtained, the hot search page in the second type of pages and the top page in the third type of pages can be obtained.
In addition, in some lightweight applications, such as wall-turning software, hand-trip accelerator, and the like, which have only three or four pages, each page may be classified as a page.
S103, counting the operated times of each type of advertisement in at least one type of advertisement on each type of page, and determining the page type suitable for putting the type of advertisement according to the operated times of each type of advertisement on each type of page.
The category of the advertisement can be classified based on the product, such as cosmetic related advertisement as one category, wash and care related advertisement as one category, digital related advertisement as one category, and so on; the advertisement can also be classified based on manufacturers, such as Huache advertisement, millet advertisement, Baojie advertisement, and the like; also, based on each product, a product may have several advertisements, and then the several advertisements may be classified into one category, for example, there are several advertisements of Iphone11, and the several advertisements may be directly classified into one category; they can also be classified according to speakers, for example, advertisements for the speaker are classified into one category for the case of liu phenanthrene and advertisements for the speaker are classified into one category for the case of song; another more direct way is that on a per ad basis, an ad is in one category, e.g., six different ads appear in a page, and then the six ads are classified into six categories.
Specifically, the number of times of operation of each type of advertisement in at least one type of advertisement in a period of time is collected, wherein the number of times of operation can be counted by the number of clicks of the user on the advertisement, and can also be counted by the length of time for the user to browse the advertisement. For example: the number of times of being operated may be represented by m + n, where m is the number of clicks of the advertisement, n is the browsing time of the advertisement, and y is the number of times of being operated).
Optionally, in this embodiment of the application, specific implementation methods for determining the page category suitable for the advertisement to be delivered according to the number of times the advertisement is operated on each page include, but are not limited to, the following:
a first kind,
Several pages may be integrated for initialization and then sorted according to the size of the integration.
Following the example of the microblog, the initial integral of the top page is set to be 200, the initial integral of the top page is set to be 70, the initial integral of the hot search page is set to be 50, and the initial integral of the list page is set to be 10. The list page is opened 101 times, the hot page is opened 245 times, the hot search page is opened 58 times, and the list page is opened 7 times. Therefore, the accumulated point 207 of the top page can be obtained, the accumulated point of the hot page is 325, the accumulated point of the hot search page is 108, and the accumulated point of the list page is 111. The ranking results obtained according to the integration are hot pages, top pages, hot search pages and list pages, and accordingly, the threshold range should be changed, the first threshold range can be set to be 1-150 times of opening, the second threshold range can be set to be 150-250 times of opening, the third threshold range is 250- ∞, then the first type of pages have the hot search pages and the list pages, the second type of pages have the top pages, and the third type of pages have the hot pages. This may allow for higher scores for certain application-specific pages, since these specific pages are more visible to the user, such as the first page in a microblog, which is reached by opening the microblog, so that the advertisement in the first page is generally more impressive to the user.
Optionally, the integral of each page in the plurality of internal pages may also be calculated based on the time that the user stays on the page, and when the integral of each page is calculated by the above method, the longer the time is, the greater the weight is, the higher the corresponding integral is, and the integral of the page may be calculated more accurately. Therefore, the user opens a certain program to prefer to browse on one page only under certain conditions, the application program is not closed after browsing is finished, and the operation of opening the page is not performed during next browsing, so that the advertisement delivery on the page with poor delivery effect is further reduced, the delivery cost is reduced, the advertisement delivery on the page with good delivery effect is increased, and the advertisement benefit is increased.
When at least one type of advertisement is delivered, each type of advertisement is subjected to an initialized point, for example, the initial point of the commodity type advertisement is 400, the initial point of the course type advertisement is 300, the initial point of the popular consultation type advertisement is 200, and the initial points of the other types of advertisements are 100; and then calculating the integral of the advertisement on each page based on a formula Sum of P + a × N-b × M, wherein N is the operation times of the advertisement, P is the initial integral of the advertisement, M is the opening times of the page where the advertisement is located, a and b are weighting coefficients, and both a and b are greater than 0.
Illustratively, the initial integral of the commercial advertisement is 400, the initial integral of the course advertisement is 300, the initial integral of the hot consultation advertisement is 200, and the initial integral of the other advertisements is 100, wherein a user opens a first page in a microblog 15 times, wherein if the commercial advertisement in the first page is clicked 3 times, the integral of the advertisement is Sum 400+ a × 3-b × 15, weighting coefficients a and b are different in different pages, for example, the commercial advertisement is on the first page, a and b are respectively 10 and 20, and a and b are respectively 5 and 9 in the first hot search page, which is not limited in this embodiment of the present invention.
And then determining the page type suitable for serving each type of advertisement according to the points.
One example is: determining a page with the highest score corresponding to the advertisement as a page type suitable for putting the advertisement; another example is: and determining a page type corresponding to the advertisement with the point larger than a set threshold value as a page type suitable for putting the advertisement. Therefore, the method and the device can reduce the advertisement putting on the page with poor putting effect, reduce the putting cost, increase the advertisement putting on the page with good putting effect and increase the advertisement benefit. Of course, in specific implementation, there may be other methods for determining the page category suitable for serving each type of advertisement according to the points, and the embodiment of the present invention is not limited thereto.
For example, if the score of the type A advertisement on the search page is greater than the score of the type A advertisement on other pages, then the type A advertisement is suitable for placement on the search page, or there is a threshold score for the advertisement on the search page, and if the score of the type A advertisement is greater than the threshold score, then the type A advertisement can be considered suitable for placement on the search page.
A second kind,
The page type with the highest operation frequency corresponding to the advertisement can be determined as the page type suitable for the advertisement to be delivered, or the page type with the operation frequency larger than the set threshold value corresponding to the advertisement is determined as the page type suitable for the advertisement to be delivered, so that the calculation amount is small, the result can be obtained quickly, the delivery of the advertisement on the page with poor delivery effect can be further reduced, the delivery cost is reduced, the delivery of the advertisement on the page with good delivery effect is increased, and the advertisement benefit is increased.
For example, if the operated number of the type A advertisement on the top page is 50 and the operated number of the type A advertisement on the hot page is 40, the type A advertisement is suitable for delivering the hot page.
A third one,
The click rate of each type of advertisement on each type of page can be determined based on the ratio of the operated times of each type of advertisement on each type of page to the opening times of each type of page, so that the calculated amount is small, the page browsing time factor of a user is considered, an accurate result can be quickly obtained, the advertisement delivery on the page with poor delivery effect is further reduced, the delivery cost is reduced, the advertisement delivery on the page with good delivery effect is increased, and the advertisement benefit is increased.
For example, if the number of times of operation of the type a advertisement is 5 and the number of times of opening the type a advertisement on the search page is 10, the click rate of the type a advertisement is 0.5, the number of times of operation of the type a advertisement on the top page is 8 and the number of times of opening the top page is 10, the click rate of the type a advertisement on the top page is 0.8. Further, the page with the highest click through rate may be a page category suitable for serving the class a advertisement, or an advertisement click through rate threshold may be set on the top page, and if the click through rate of the class a advertisement is greater than the click through rate threshold, for example: 0.6, the class A ad can be considered to be appropriate on the top page.
S104, judging whether the type of the page to which each advertisement in each type of advertisements is currently put is the page type suitable for putting the advertisement, and if not, adjusting the advertisement to the page of the page type suitable for putting the advertisement.
Specifically, it is determined whether the advertisement on each page is in a page category for which the advertisement is suitable for serving, and if not, it is deleted or moved to a suitable page category (e.g., deletion may be selected if the number of operations performed on the advertisement is low, and move to a suitable page category if the number of operations performed on the advertisement is high). In addition, if the same advertisement is already in the page category suitable for the advertisement, the advertisement strength can be increased (the delivery time or the display times or the number of display positions can be increased).
In the scheme, the page suitable for advertisement delivery of each type of advertisement is determined by counting the opening times of each type of page of the application program by the user and the operated number of each type of advertisement, so that the effect of adjusting the advertisement delivery position according to the overall preference of the user can be realized, the flexibility of the advertisement delivery mode in the application is improved, the condition that the user is disgusting to the advertisement can be better improved, the user experience is improved, and the advertisement benefit is improved.
Optionally, for a specific type of advertisement, it may be directly placed on a page with the highest score, or the position of the advertisement with the highest score in the page is changed, so that the advertisement of the advertiser can obtain more exposure, and meanwhile, the favorite advertisement category of the user is also retained in consideration of the preference of the user for the advertisement, for example, in a week before twenty-one, the twenty-one advertisement of the advertiser is mounted on the page with the highest opening times of the user, and meanwhile, other advertisements on the page are also retained, when twenty-one passes, the advertisement is immediately deleted, and at the same time, a replacement is performed with other advertisements, the advertisement to be replaced may be a new advertisement or an old advertisement, so that the familiarity of the specific advertisement of the specific advertiser by a plurality of users may be improved, and the advertisement placement flexibility may be further improved, the user experience is improved.
Optionally, for the new advertisement delivered by the advertiser, the advertisement with low benefit (for example, the number of times of operation is less than the preset number) or the advertisement with expired time limit is deleted, or the old advertisement similar to the new advertisement is directly replaced, and the new advertisement is delivered to the appropriate page category. Therefore, the method can play an updating role on the advertisement, and further improves the flexibility of advertisement putting.
Optionally, in this application, the method of steps S101 to S104 may be periodically executed according to a set time interval, for example, the method may be executed once a week, the method may be executed once a day, or the method may be executed once a half month, and according to a data result obtained after each execution of the method (if the data result is large, the updating is fast, and if the difference is small, the updating is slow), the periodic time period is automatically adjusted according to the comparison data result, so as to further improve flexibility of advertisement delivery in the application.
The method for advertising without distinguishing the user categories is introduced above, and the method for advertising with distinguishing the user categories is introduced below.
Referring to fig. 2, a flowchart of another method for in-application advertisement delivery is provided in the embodiment of the present invention.
S201, counting the times of opening each page in a plurality of pages by each user in at least one type of users.
Optionally, operation information of the user in the application program may be acquired, for example, the operation information may be advertisement content (the content may include microblogs of manufacturers, stars, makeup courses, and the like) which is frequently browsed, praised, collected, commented, or forwarded, and then the preference of the user is determined according to the operation information, so as to classify the user according to the preference of the user.
Optionally, identity information set by the user in the application, such as the age, sex, occupation, etc. of the user, may be obtained to classify the user.
Alternatively, one user may be used alone as a class of users.
S202, counting the operated times of each type of advertisement in at least one type of advertisement on each type of page.
S203, determining the page type of the advertisement suitable for the user to put according to the times of the operation of the advertisement on various pages by the user.
S204, judging whether the type of each advertisement in the advertisement aiming at the page currently put by the user is the page type of the advertisement suitable for putting by the user, if not, adjusting the advertisement to the page of the advertisement aiming at the page type of the advertisement suitable for putting by the user, wherein the adjusting mode can refer to the step S104.
The specific implementation manner of each step in the steps S201 to S204 may refer to the implementation manner of the steps S101 to S104, and is not described herein again. S101 to S104 differ from S201 to S204 only in that: the steps S101 to S104 are to count all types of users as a whole and to determine advertisement placement, and the method steps S101 to S104 are performed individually for each type of user.
In the scheme, the information of the users is collected, the users are classified based on the collection results, and then the advertisement putting strategies of the users in different categories are determined respectively, so that different user categories can adopt different advertisement putting methods, the effect of accurately putting advertisements based on the user categories is realized, the flexibility of advertisement putting and placing in applications can be further improved, and the user experience is optimized.
Based on the same inventive concept, an embodiment of the present invention further provides an in-application advertisement delivery apparatus 300, with reference to fig. 3, including: the method comprises the following steps:
a counting module 301, configured to count the number of times each page in a plurality of pages is opened, where the plurality of pages are pages in the same application;
a processing module 302, configured to divide the multiple pages into at least two categories according to the number of times each page in the multiple pages is opened;
the statistics module 301 is further configured to: counting the operated times of each type of advertisement in at least one type of advertisement on each type of page;
the processing module 302 is further configured to: determining the page type suitable for the advertisement to be delivered according to the operated times of each type of advertisement on various pages; and judging whether the category of the page to which each advertisement in each category of advertisements is currently put is a page category suitable for putting the advertisement, if not, adjusting the advertisement to the page of the page category suitable for putting the advertisement.
Optionally, when the processing module 302 divides the plurality of pages into at least two categories according to the number of times of opening on each page of the plurality of pages, it is specifically configured to: sequencing the plurality of pages according to the sequence of opening times from small to large; and dividing the sorted pages into at least two categories, wherein the opening times of the pages in different categories are in different threshold ranges.
Optionally, when determining the page category suitable for the advertisement to be delivered according to the number of times the advertisement is operated on each page, the processing module 302 is specifically configured to: calculating the integral of the advertisement on each type of page based on the operated times of the advertisement on each type of page and the opening times of each type of page; determining a page with the highest score corresponding to the advertisement as a page type suitable for putting the advertisement; or determining a page type corresponding to the advertisement with the point larger than a set threshold value as a page type suitable for delivering the advertisement.
Optionally, the points of the first type of advertisement on the first type of page satisfy the following relationship: Sum-P + a × N-b × M; n is the operation times of the advertisement on the page, P is the initial integral of the advertisement on the page, M is the opening times of the page, a and b are weighting coefficients, and both a and b are greater than 0.
Optionally, when determining the page category suitable for the advertisement to be delivered according to the number of times the advertisement is operated on each page, the processing module 302 is specifically configured to: determining a page type with the highest operated times corresponding to the advertisement type as a page type suitable for putting the advertisement type; or determining a page type corresponding to the advertisement with the operation times larger than a set threshold as a page type suitable for putting the advertisement.
Optionally, when determining the page category suitable for the advertisement to be delivered according to the number of times the advertisement is operated on each page, the processing module 302 is specifically configured to: determining the ratio of the operated times of the advertisement on each type of page to the opening times of each type of page as the click rate of the advertisement on each type of page; determining a page type with the highest click rate corresponding to the advertisement as a page type suitable for putting the advertisement; or determining a page type corresponding to the advertisement with the click rate larger than a set threshold value as a page type suitable for delivering the advertisement.
Optionally, the counting module 301 is specifically configured to, when counting the opening times of each page in the multiple pages: counting the times of opening each page in a plurality of pages by each user in at least one class of users; counting the operation times of the class users on each class of advertisements in at least one class of advertisements on each class of pages; when determining the page category suitable for the advertisement to be delivered according to the number of times the advertisement is operated on various pages, the processing module 302 is specifically configured to: determining the page type of the advertisement which is suitable for being delivered by the user according to the times of the operation of the advertisement on various pages by the user; judging whether the category of the page to which each advertisement in the advertisement is currently put is the page category suitable for putting the advertisement, if not, adjusting the advertisement on the page of the page category suitable for putting the advertisement, and specifically: and judging whether the type of each advertisement in the advertisement aiming at the page currently put by the user is the page type of the advertisement suitable for putting by the user, if not, adjusting the advertisement to the page of the advertisement aiming at the page type of the advertisement suitable for putting by the user.
For a specific implementation manner of executing the method steps by each module of the device, reference is made to the specific implementation manner of the method steps corresponding to the above method embodiment, and detailed description is not given in this embodiment.
Based on the same inventive concept, an embodiment of the present invention further provides an electronic device 400, with reference to fig. 4, including: at least one processor 401, and a memory 402, a communication interface 403 communicatively coupled to the at least one processor 401; wherein the memory 402 stores instructions executable by the at least one processor 301, and the at least one processor 401 executes the instructions stored in the memory 402 to cause the apparatus 300 to execute the in-application advertisement delivery method according to the embodiment of the present invention.
Based on the same inventive concept, the embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium stores computer instructions, and when the computer instructions are run on a computer, the computer is caused to execute the method for delivering an in-application advertisement according to the embodiment of the present invention.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (16)
1. An in-application advertisement delivery method, comprising:
counting the opening times of each page in a plurality of pages, wherein the pages are pages in the same application program;
dividing the plurality of pages into at least two categories according to the opening times of each page in the plurality of pages;
counting the operated times of each type of advertisement on each type of page in at least one type of advertisement, and determining the page type suitable for putting the type of advertisement according to the operated times of each type of advertisement on each type of page;
and judging whether the category of the page to which each advertisement in each category of advertisements is currently put is a page category suitable for putting the advertisement, if not, adjusting the advertisement to the page of the page category suitable for putting the advertisement.
2. The method of claim 1, wherein dividing the plurality of pages into at least two categories based on the number of opens on each of the plurality of pages comprises:
sequencing the plurality of pages according to the sequence of opening times from small to large;
and dividing the sorted pages into at least two categories, wherein the opening times of the pages in different categories are in different threshold ranges.
3. The method of claim 1, wherein determining the page category of the type of advertisement suitable for delivery according to the number of times the type of advertisement is operated on various types of pages comprises:
calculating the integral of the advertisement on each type of page based on the operated times of the advertisement on each type of page and the opening times of each type of page;
determining a page with the highest score corresponding to the advertisement as a page type suitable for putting the advertisement; or determining a page type corresponding to the advertisement with the point larger than a set threshold value as a page type suitable for delivering the advertisement.
4. The method of claim 3, wherein the points of a type of advertisement on a type of page satisfy the relationship:
Sum＝P+a×N-b×M；
n is the operation times of the advertisement on the page, P is the initial integral of the advertisement on the page, M is the opening times of the page, a and b are weighting coefficients, and both a and b are greater than 0.
5. The method of claim 1, wherein determining the page category of the type of advertisement suitable for delivery according to the number of times the type of advertisement is operated on various types of pages comprises:
determining a page type with the highest operated times corresponding to the advertisement type as a page type suitable for putting the advertisement type; or determining a page type corresponding to the advertisement with the operation times larger than a set threshold as a page type suitable for putting the advertisement.
6. The method of claim 1, wherein determining the page category of the type of advertisement suitable for delivery according to the number of times the type of advertisement is operated on various types of pages comprises:
determining the ratio of the operated times of the advertisement on each type of page to the opening times of each type of page as the click rate of the advertisement on each type of page;
determining a page type with the highest click rate corresponding to the advertisement as a page type suitable for putting the advertisement; or determining a page type corresponding to the advertisement with the click rate larger than a set threshold value as a page type suitable for delivering the advertisement.
7. The method of any one of claims 1-4, wherein counting the number of times each page of the number of pages is opened comprises:
counting the times of opening each page in a plurality of pages by each user in at least one class of users;
counting the number of times each type of advertisement in at least one type of advertisement is operated on each type of page, wherein the counting comprises the following steps: counting the operation times of the class users on each class of advertisements in at least one class of advertisements on each class of pages;
determining the page type suitable for the advertisement to be delivered according to the operated times of the advertisement on various pages, comprising the following steps: determining the page type of the advertisement which is suitable for being delivered by the user according to the times of the operation of the advertisement on various pages by the user;
judging whether the category of the page to which each advertisement in the advertisement is currently put is the page category suitable for putting the advertisement, if not, adjusting the advertisement on the page of the page category suitable for putting the advertisement, comprising: and judging whether the type of each advertisement in the advertisement aiming at the page currently put by the user is the page type of the advertisement suitable for putting by the user, if not, adjusting the advertisement to the page of the advertisement aiming at the page type of the advertisement suitable for putting by the user.
8. An in-application advertising device, comprising:
the statistical module is used for counting the opening times of each page in a plurality of pages, wherein the pages are pages in the same application program;
the processing module is used for dividing the plurality of pages into at least two categories according to the opening times of each page in the plurality of pages;
the statistics module is further configured to: counting the operated times of each type of advertisement in at least one type of advertisement on each type of page;
the processing module is further configured to: determining the page type suitable for the advertisement to be delivered according to the operated times of each type of advertisement on various pages; and judging whether the category of the page to which each advertisement in each category of advertisements is currently put is a page category suitable for putting the advertisement, if not, adjusting the advertisement to the page of the page category suitable for putting the advertisement.
9. The apparatus of claim 8, wherein the processing module, when dividing the plurality of pages into at least two categories according to the number of times of opening on each of the plurality of pages, is specifically configured to:
sequencing the plurality of pages according to the sequence of opening times from small to large;
and dividing the sorted pages into at least two categories, wherein the opening times of the pages in different categories are in different threshold ranges.
10. The apparatus of claim 8, wherein the processing module, when determining the page category suitable for serving the advertisement according to the number of times the advertisement is operated on each page, is specifically configured to:
calculating the integral of the advertisement on each type of page based on the operated times of the advertisement on each type of page and the opening times of each type of page;
determining a page with the highest score corresponding to the advertisement as a page type suitable for putting the advertisement; or determining a page type corresponding to the advertisement with the point larger than a set threshold value as a page type suitable for delivering the advertisement.
11. The apparatus of claim 10, wherein points of a type of advertisement on a type of page satisfy the following relationship: Sum-P + a × N-b × M; n is the operation times of the advertisement on the page, P is the initial integral of the advertisement on the page, M is the opening times of the page, a and b are weighting coefficients, and both a and b are greater than 0.
12. The apparatus of claim 8, wherein the processing module, when determining the page category suitable for serving the advertisement according to the number of times the advertisement is operated on each page, is specifically configured to:
determining a page type with the highest operated times corresponding to the advertisement type as a page type suitable for putting the advertisement type; or determining a page type corresponding to the advertisement with the operation times larger than a set threshold as a page type suitable for putting the advertisement.
13. The apparatus of claim 8, wherein the processing module, when determining the page category suitable for serving the advertisement according to the number of times the advertisement is operated on each page, is specifically configured to:
determining the ratio of the operated times of the advertisement on each type of page to the opening times of each type of page as the click rate of the advertisement on each type of page;
determining a page type with the highest click rate corresponding to the advertisement as a page type suitable for putting the advertisement; or determining a page type corresponding to the advertisement with the click rate larger than a set threshold value as a page type suitable for delivering the advertisement.
14. The apparatus according to any one of claims 8 to 11, wherein the statistics module, when counting the number of times each page of the plurality of pages is opened, is specifically configured to:
counting the times of opening each page in a plurality of pages by each user in at least one class of users; counting the operation times of the class users on each class of advertisements in at least one class of advertisements on each class of pages;
when determining the page type suitable for the advertisement to be delivered according to the operated times of the advertisement on various pages, the processing module is specifically configured to: determining the page type of the advertisement which is suitable for being delivered by the user according to the times of the operation of the advertisement on various pages by the user; judging whether the category of the page to which each advertisement in the advertisement is currently put is the page category suitable for putting the advertisement, if not, adjusting the advertisement on the page of the page category suitable for putting the advertisement, and specifically: and judging whether the type of each advertisement in the advertisement aiming at the page currently put by the user is the page type of the advertisement suitable for putting by the user, if not, adjusting the advertisement to the page of the advertisement aiming at the page type of the advertisement suitable for putting by the user.
15. An electronic device, comprising:
at least one processor, and
a memory communicatively coupled to the at least one processor, a communication interface;
wherein the memory stores instructions executable by the at least one processor to execute the instructions in the memory to cause the apparatus to perform the method of any one of claims 1-7 when the instructions are executed.
16. A computer-readable storage medium having stored thereon computer instructions which, when executed on a computer, cause the computer to perform the method of any one of claims 1-7.
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