CN111160953B - Method, device and storage medium for putting advertisement in application - Google Patents

Method, device and storage medium for putting advertisement in application Download PDF

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CN111160953B
CN111160953B CN201911275825.3A CN201911275825A CN111160953B CN 111160953 B CN111160953 B CN 111160953B CN 201911275825 A CN201911275825 A CN 201911275825A CN 111160953 B CN111160953 B CN 111160953B
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advertisement
page
type
category
pages
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CN111160953A (en
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孙艺乘
朱龙
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Zhejiang Dahua Technology Co Ltd
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Zhejiang Dahua Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0251Targeted advertisements
    • G06Q30/0255Targeted advertisements based on user history
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0277Online advertisement

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Abstract

The embodiment of the application provides a method, a device and a storage medium for putting advertisements in an application, which are used for solving the technical problems of single advertisement putting 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 plurality of pages are pages in the same application program; dividing the pages into at least two categories according to the opening times of each page in the pages; 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 advertisement according to the operated times of each type of advertisement on each type of page; judging whether the category of the page where each advertisement in each category of advertisements is currently put is a page category where the advertisement is suitable for being put, if not, adjusting the advertisement to the page of the page category where the advertisement is suitable for being put.

Description

Method, device and storage medium for putting advertisement in application
Technical Field
The present application relates to the field of internet, and in particular, to a method and apparatus for in-application advertisement delivery, and a storage medium.
Background
With the development of mobile application technology, it is a conventional way to implement the application by advertisement.
In the prior art, the advertisers generally prioritize advertisements of each advertiser according to the advertising funds invested by each advertiser, and the advertisements with high priority are placed on the page with higher level in the application (for example, the main page of the application).
But for users different users have different product needs and preferences. According to the prior art, each advertisement has some users dislike the advertisement, the users generally choose to disregard or shield the advertisement, the advertisement propaganda effect cannot be obtained from the users for the advertiser, even the users can generate stronger dislike emotion on the product of the advertiser, further the loss of the advertiser is further caused, finally the advertiser is not satisfied with the advertisement effect, and the application can not be realized through the advertisement.
Therefore, the technical problems of single advertising mode and poor user experience exist in the prior art.
Disclosure of Invention
The embodiment of the invention provides a method, a device and a storage medium for putting advertisements in an application, which are used for solving the technical problems of single advertisement putting mode and poor user experience in the prior art.
In a first aspect, an embodiment of the present invention provides a method for in-application advertisement delivery, including:
counting the opening times of each page in a plurality of pages, wherein the plurality of pages are pages in the same application program;
dividing the pages into at least two categories according to the opening times of each page in the pages;
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 advertisement according to the operated times of each type of advertisement on each type of page;
judging whether the category of the page where each advertisement in each category of advertisements is currently put is a page category where the advertisement is suitable for being put, if not, adjusting the advertisement to the page of the page category where the advertisement is suitable for being put.
According to 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 and the number of times of the advertisement of each type, 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 aversion condition of the user to the advertisement can be better improved, the user experience is improved, and the benefit of the advertisement is improved.
Optionally, 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, including: sequencing the pages according to the sequence from small opening times to large opening times; dividing the sorted pages into at least two categories, wherein the opening times of the pages in different categories are in different threshold ranges.
According to the method, the pages are ordered according to the opening times of the pages, and the pages are classified according to the ordering result, so that the effect of classifying the pages according to the using times of the pages by a user can be achieved.
Optionally, determining the page category suitable for putting the advertisement according to the operated times of the advertisement on various pages comprises: calculating the points of the advertisements on each type of page based on the operated times of the advertisements on each type of page and the opening times of the pages; determining a page of which the score is highest corresponding to the advertisement as a page type suitable for putting the advertisement; or determining that the page of which the score is larger than the set threshold value is the page category suitable for putting the advertisement.
According to the method, the points of each type of advertisement on each type of page are 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 of each type of advertisement suitable for being put according to the points of each type of advertisement on each type of page is achieved, the flexibility of the advertisement putting mode in application can be improved, the user experience is improved, and the benefits of advertisements are improved.
Optionally, the points of the advertisement of the first category on the page of the first category satisfy the following relationship: sum=p+an-bM, where N is the number of operations of the advertisement on the page, P is the initial integral of the advertisement on the page, M is the number of openings of the page, a and b are weighting coefficients, and a and b are both greater than 0.
According to the method, the points of each type of advertisement on each type of page are calculated based on the operated times of the advertisements and the opening times of the pages, and the calculated points can intuitively reflect the suitability degree of the advertisements and the pages, so that the suitable delivery type of each type of advertisement determined based on the points is high in reliability.
Optionally, determining the page category suitable for putting the advertisement according to the operated times of the advertisement on various pages comprises: determining a page of the highest operation frequency corresponding to the advertisement as a page type suitable for putting the advertisement; or determining that the page of the type with the operation times larger than the set threshold value is the page type suitable for putting the type of advertisement.
According to the embodiment, each advertisement in each type of advertisement is put on the page with the highest operated times or the page with the operated times larger than the set threshold value, so that the advertisement put on the page with poor putting effect can be reduced, the putting cost is reduced, the advertisement put on the page with good putting effect is increased, and the advertisement benefit is increased.
Optionally, determining the page category suitable for putting the advertisement according to the operated times of the advertisement on various 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 of the type with the highest click rate corresponding to the type of advertisement as a page type suitable for putting the type of advertisement; or determining that the page of the type with the click rate larger than the set threshold value is the page type suitable for putting the type of advertisement.
According to the embodiment, each advertisement in each advertisement is put on the page with the highest click rate or the page with the click rate larger than the set threshold value, so that the putting of the advertisement on the page with poor putting effect can be reduced, the putting cost is reduced, the putting of the advertisement on the page with good putting effect is increased, and the advertising benefit is increased.
Optionally, counting the opening times of each page in the plurality of pages includes: counting the times of opening each page in a plurality of pages by each user in at least one type of users; counting the operated times of each type of advertisement in at least one type of advertisement on each type of page, including: counting the operation times of the user in each type of page on each type of advertisement in at least one type of advertisement; determining the page category suitable for putting the advertisement according to the operated times of the advertisement on various pages, comprising the following steps: determining the page category suitable for the advertisement aiming at the user according to the operation times of the advertisement on various pages by the user; judging whether the category of the page where each advertisement in the advertisement is currently put is a page category where the advertisement is suitable for being put, if not, adjusting the advertisement to the page of the page category where the advertisement is suitable for being put, including: judging whether the category of the page which is put by each advertisement in the advertisement aiming at the user is the page category which is put by the advertisement aiming at the user, if not, adjusting the advertisement to the page which is put by the advertisement aiming at the user.
According to the method, the information of the users is collected, the users are classified based on the collection result, and then the advertisement delivery strategies of the users in different categories are respectively determined, so that different advertisement delivery methods can be adopted in different user categories, the effect of accurately delivering advertisements based on the user categories is achieved, the flexibility of advertisement delivery placement in the application can be further improved, and the user experience is optimized.
In a second aspect, an embodiment of the present invention further provides an in-application advertisement delivery device, including:
the statistics module is used for counting the opening times of each page in a plurality of pages, wherein the plurality of pages are pages in the same application program;
the processing module is used for dividing the pages into at least two categories according to the opening times of each page in the 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 category suitable for putting the advertisement according to the operated times of each advertisement on various pages; judging whether the category of the page where each advertisement in each category of advertisements is currently put is a page category where the advertisement is suitable for being put, if not, adjusting the advertisement to the page of the page category where the advertisement is suitable for being put.
Optionally, the processing module is specifically configured to, 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: sequencing the pages according to the sequence from small opening times to large opening times; 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 putting the advertisement according to the operated times of the advertisement on various pages, the processing module is specifically configured to: calculating the points of the advertisements on each type of page based on the operated times of the advertisements on each type of page and the opening times of the pages; determining a page of which the score is highest corresponding to the advertisement as a page type suitable for putting the advertisement; or determining that the page of which the score is larger than the set threshold value is the page category suitable for putting the advertisement.
Optionally, the points of the advertisement of the first category on the page of the first category satisfy the following relationship: sum=p+an-bM, where N is the number of operations of the advertisement on the page, P is the initial integral of the advertisement on the page, M is the number of openings of the page, a and b are weighting coefficients, and a and b are both greater than 0.
Optionally, when determining the page category suitable for putting the advertisement according to the operated times of the advertisement on various pages, the processing module is specifically configured to: determining a page of the highest operation frequency corresponding to the advertisement as a page type suitable for putting the advertisement; or determining that the page of the type with the operation times larger than the set threshold value is the page type suitable for putting the type of advertisement.
Optionally, when determining the page category suitable for putting the advertisement according to the operated times of the advertisement on various pages, 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 of the type with the highest click rate corresponding to the type of advertisement as a page type suitable for putting the type of advertisement; or determining that the page of the type with the click rate larger than the set threshold value is the page type suitable for putting the type of advertisement.
Optionally, the statistics module is specifically configured to, when counting the number of times each page in the plurality of pages is opened: counting the times of opening each page in a plurality of pages by each user in at least one type of users; counting the operation times of the user in each type of page on each type of advertisement in at least one type of advertisement; the processing module is specifically used for determining the page category suitable for putting the advertisement according to the operated times of the advertisement on various pages: determining the page category suitable for the advertisement aiming at the user according to the operation times of the advertisement on various pages by the user; judging whether the category of the page where each advertisement in the advertisement is currently put is a page category where the advertisement is suitable for being put, if not, adjusting the advertisement to the page of the page category where the advertisement is suitable for being put, and the method is specifically used for: judging whether the category of the page which is put by each advertisement in the advertisement aiming at the user is the page category which is put by the advertisement aiming at the user, if not, adjusting the advertisement to the page which is put by the advertisement aiming at the user.
In a third aspect, an embodiment of the present invention provides an electronic device, including: 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 for executing the instructions in the memory to perform the method according to any of the alternative implementations of the first or second aspect of the embodiments of the present invention when the instructions are executed.
In a fourth aspect, embodiments of the present invention provide a computer readable storage medium storing computer instructions that, when run on a computer, cause the computer to perform a method according to an alternative implementation of any of the first or second aspects of the embodiments of the present invention.
The advantages of the embodiments of the second aspect to the fourth aspect may be referred to the advantages of the corresponding embodiments of the first aspect, and will not be described in detail.
The invention has the following beneficial effects: the method has the advantages that the opening times of each type of page of the application program and the operated number of each type of advertisement of the user are counted, the page suitable for advertisement delivery of each type of advertisement is determined, the effect of adjusting the advertisement delivery position according to the overall preference of the user can be achieved, the flexibility of advertisement delivery modes in the application is improved, the aversion situation of the user to the advertisement can be better improved, the user experience is improved, and the benefit of the advertisement is improved.
Drawings
FIG. 1 is a flowchart of a method for in-application advertising in an embodiment of the present invention;
FIG. 2 is a flowchart of another method for in-application advertising in accordance with an embodiment of the present invention;
FIG. 3 is a schematic illustration of an in-application advertising device in accordance with an embodiment of the present invention;
fig. 4 is an electronic device according to an embodiment of the present invention.
Detailed Description
The following detailed description of the technical solutions of the present invention will be given by way of the accompanying drawings and specific embodiments, and it should be understood that the specific features of the embodiments and embodiments of the present invention are detailed descriptions of the technical solutions of the present invention, and not limiting the technical solutions of the present invention, and that the embodiments and technical features of the embodiments of the present invention may be combined with each other without conflict.
It should be appreciated that in the description of embodiments of the invention, the words "first," "second," and the like are used merely for distinguishing between the descriptions and not for indicating or implying any relative importance or order. In the description of the embodiments of the present invention, "plurality" means two or more.
The term "and/or" in the embodiment of the present invention is merely an association relationship describing the association object, and indicates that three relationships may exist, for example, a and/or B may indicate: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
The embodiment of the invention provides an in-application advertisement putting method, which is used for solving the technical problems of single advertisement putting mode and poor user experience in the prior art. The method can be applied to electronic equipment which is provided with a display screen and can be connected through a network, wherein the electronic equipment can be a mobile phone, a tablet personal computer, a personal computer and the like, and the embodiment of the invention is not limited herein.
Referring to fig. 1, a flow chart of an in-application advertisement delivery method according to an embodiment of the present invention is shown, where the method includes:
s101, counting the opening times of each page in a plurality of pages, wherein the plurality of 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 over a period of time is counted. For example, after a user enters a microblog, the home page is opened three times, the hot page is opened once, the hot search page is opened twice, etc., where the period of time may be one day, one week, half month, etc., and the embodiment of the present invention is not limited to this.
S102, dividing the pages into at least two categories according to the opening times of each page in the pages.
Specifically, the pages can be ordered according to the order of the opening times from small to large, and the ordered pages are divided into at least two categories, wherein the opening times of the pages in different categories are in different threshold ranges. When classifying the pages according to the set threshold ranges, if the pages are to be classified into two types, the first type of pages and the second type of pages can be classified into the first threshold range and the second threshold range, and if the pages are to be classified into three types, the first type of pages, the second type of pages and the third type of pages can be classified into the first threshold range, the second threshold range and the third threshold range, and the higher the page class is, the higher the importance degree of representing the page to the user is, which is not limited by the embodiment of the invention. Note that there is no overlapping portion of the different threshold ranges.
Illustratively, the user's use of the microblog for a period of time is recorded: the method comprises the steps of opening a list page 101 times, opening a hot page 245 times, opening a hot search page 58 times and opening a first page list page 7 times. The sorting can be performed according to the number of times of opening the related pages, the sorting result is a list page, a hot search page and a hot page, the first page is a first page, the first threshold range can be set to be 1-50 times of opening, the second threshold range can be set to be 51-100 times of opening, the third threshold range is 101 to obtain the list page and the hot page in the first page, the hot search page in the second page and the first page in the third page.
In addition, in some lightweight applications, such as hand-tour accelerators, etc., applications of three or four pages may be used to make each page a page category.
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 advertisement according to the operated times of each type of advertisement on various types of pages.
Wherein, the advertisement categories can be classified based on the products, such as cosmetic related advertisements are one category, washing related advertisements are one category, digital related advertisements are one category, and the like; classification may also be based on manufacturer, such as Hua's advertisement as a category, millet's advertisement as a category, baby's advertisement as a category, etc.; if the product can have a plurality of advertisements based on each product, the advertisements can be classified into one type, for example, the advertisements of Iphone11 can be classified into a plurality of types, and the advertisements can be directly classified into one type; the advertisements may also be classified according to the speaker, for example, the advertisements of the speaker 1 are classified into one type and the advertisements of the speaker 2 are classified into one type; another more straightforward way is that on a per advertisement basis, one advertisement is in one category, e.g. six different advertisements appear in one page, and then the six advertisements are classified into six categories.
Specifically, the operated times of each advertisement in at least one advertisement category in a period of time are collected, wherein the operated times can be counted by the click rate of the user on the advertisement, and can also be counted by the time length of the user browsing the advertisement. For example: the number of operated times may be represented by y=m+n, where m is the click rate of the advertisement, n is the browsing time of the advertisement, and y is the number of operated times.
Optionally, in the embodiment of the present application, the specific implementation method for determining the page category of the advertisement suitable for being put according to the operated times of the advertisement on various pages includes, but is not limited to, the following steps:
a first kind of,
An initialized integral can be performed on a plurality of pages, and then the pages are ordered according to the integral size.
Along the example of using the microblog, the initial score of the top page is set to be 200, the initial score of the hot page is set to be 70, the initial score of the hot search page is set to be 50, and the initial score of the list page is set to be 10. The list page 101 times, the hot page 245 times, the hot search page 58 times and the list page 7 times are opened. So the accumulated integral 207 of the top page, the accumulated integral of the hot page is 325, the accumulated integral of the hot search page is 108, and the accumulated integral of the list page is 111. And according to the sorting result obtained by integration, a hot page, a top page, a hot search page and a list page are obtained, and the corresponding threshold range is changed, wherein 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 set to be 250 times of opening, the hot search page and the list page are arranged in the first type of page, the top page is arranged in the second type of page, and the hot page is arranged in the third type of page. This may allow for higher integration of certain application specific pages, which are more visible to the user, such as the first page in a microblog, into which an advertisement is generally more impressive to the user upon opening the microblog.
Alternatively, the integral of each of the internal pages may be calculated based on the time that the user stays on the page, and when the integral of each page is calculated by the method, the longer the time is, the larger the weight is, the higher the corresponding integral is, and the integral of the page may be calculated more accurately. Therefore, the user can open a program to browse on one page, and the application program is not closed after browsing is finished, and the operation of opening the page is not performed when browsing next time, so that the advertisement is further reduced on the page with poor advertisement effect, the advertisement cost is reduced, the advertisement is added on the page with good advertisement effect, and the advertisement benefit is increased.
When at least one kind of advertisement is put, an initial point is carried out on each kind of advertisement, for example, the initial point of a commodity advertisement is 400, the initial point of a course advertisement is 300, the initial point of a hot consultation advertisement is 200, and the initial points of other kinds of advertisements are 100; and then calculating the points of the advertisements on each type of page based on the formula sum=p+an-bM, wherein N is the operation times of the advertisements, P is the initial points of the advertisements, M is the opening times of the pages where the advertisements are located, a and b are weighting coefficients, and a and b are both greater than 0.
For example, the initial score of the commodity advertisement is 400, the initial score of the course advertisement is 300, the initial score of the hot consultation advertisement is 200, the initial score of other advertisements is 100, the user opens the top page 15 times in the microblog, wherein when the commodity advertisement in the top page is clicked 3 times, the score of the advertisement is sum=400+a3-b 15, and the weighting coefficients a and b are different in different pages, for example, the advertisement is 10 and 20 in the top page, a and b are 5 and 9 in the first hot search page, respectively, and the embodiment of the invention is not limited in this way.
The page categories for which each category of advertisement is suitable for placement are then determined based on the points.
One example is: determining a page of which the score is highest corresponding to the advertisement as a page type suitable for putting the advertisement; another example is: and determining a class of pages with points larger than a set threshold corresponding to the class of advertisements as page classes suitable for putting the class of advertisements. Therefore, the advertisement can be put on the page with poor putting effect, the putting cost is reduced, the advertisement is put on the page with good putting effect is increased, and the advertisement benefit is increased. Of course, in implementation, there may be other methods for determining the page category suitable for delivering each type of advertisement according to the score, which is not limited in this embodiment of the present invention.
For example, if the score of a type A advertisement in a search page is greater than the score of a type A advertisement in 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 a type A advertisement is greater than this threshold score, then the type A advertisement may be considered suitable for placement on the search page.
A second kind of,
The method has the advantages that the page with the highest operation frequency corresponding to the advertisement is determined to be the page type suitable for the advertisement, or the page with the operation frequency larger than the set threshold value corresponding to the advertisement is determined to be the page type suitable for the advertisement, the calculated amount is small, the result can be obtained more quickly, the advertisement can be further reduced from being put on the page with poor putting effect, the putting cost is reduced, the advertisement is put on the page with good putting effect, and the advertisement benefit is increased.
For example, the number of the operated number of the A-type advertisement on the top page is 50, and the number of the operated number on the hot page is 40, so that the A-type advertisement is suitable for throwing the reheating door page.
A third kind,
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, meanwhile, the time factor of browsing the page by a user is considered, an accurate result can be obtained rapidly, the advertisement putting on the page with poor putting effect is further reduced, the putting cost is reduced, the advertisement putting on the page with good putting effect is increased, and the advertisement benefit is increased.
For example, the number of times the A-type advertisement is operated is 5, the number of times the A-type advertisement is opened in the search page is 10, the click rate of the A-type advertisement is 0.5, the number of times the A-type advertisement is operated in the first page is 8, the number of times the first page is opened is 10, and the click rate of the A-type advertisement in the first page is 0.8. Further, the page with the highest click rate may be a page type suitable for putting the class a advertisement, or an advertisement click rate threshold may be set on the top page, and if the click rate of the class a advertisement is greater than the click rate threshold, for example: 0.6, the class a ad may be considered suitable on the top page.
S104, judging whether the type of the page which is put in each advertisement in each type is a page type which is suitable for putting the advertisement, if not, adjusting the advertisement to the page which is 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, and if not, it is deleted or moved to a suitable page category (e.g., if the advertisement is low in operand, deletion may be selected, and if the advertisement is high in operand, it may be moved to a suitable page category). In addition, if the same advertisement exists in the page category suitable for the advertisement, the advertisement strength of the advertisement can be increased (the time of putting or the number of display times or the number of display positions is increased).
In the scheme, 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 and the operated number of each type of advertisement of the user, 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 aversion condition of the user to the advertisement can be better improved, the user experience is improved, and the benefit of the advertisement is improved.
Optionally, for a specific type of advertisement, it may be directly put on the page with highest score, or the advertisement with highest score in the page is subjected to position exchange, so that the advertisement of the advertiser obtains more exposure, and meanwhile, the preference of the user on the advertisement is considered, and the advertisement category favored by the user is also reserved.
Optionally, for new advertisements placed by advertisers, advertisements that are less efficient (e.g., operated less than a preset number of times) or advertisements whose time period expires are deleted, or new advertisements are placed into the appropriate page categories directly in place of old advertisements that are similar to the new advertisements. Thus, the advertisement can be updated, and the flexibility of advertisement delivery is further improved.
Optionally, in the implementation of the present application, the method of steps S101 to S104 may be periodically executed at set time intervals, for example, the method may be executed once a week, the method may be executed once a day, the method may be executed once a half month, and the periodic time period may be automatically adjusted according to the comparison data result according to the data result obtained after each execution of the method (the data result has a large difference, and the data result has a fast update and a small difference, and is updated slowly), so as to further improve flexibility of advertisement placement in the application.
The method of advertising without distinguishing the user category is introduced above, and the method of advertising with distinguishing the user category is introduced below.
Referring to FIG. 2, a flowchart of another in-application advertising method is provided for an embodiment of the present application.
S201, counting the times that each type of user in at least one type of user opens each page in a plurality of pages.
Optionally, operation information of the user in the application program may be obtained, for example, a microblog is taken as an example, the operation information may be advertisement content (the content may include a microblog of a manufacturer, a cosmetic tutorial, etc.) that is frequently browsed, praised, collected, reviewed, 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 age, gender, occupation, etc., of the user may be obtained to classify the user.
Alternatively, one user may be individually used 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 category suitable for being put by the advertisement aiming at the user according to the operation times of the advertisement on various pages by the user.
S204, judging whether the category of the page which is put by each advertisement in the advertisement aiming at the user is the page category which is put by the advertisement aiming at the user, if not, adjusting the advertisement to the page which is put by the advertisement aiming at the user and is suitable for the user, wherein the adjustment mode can refer to the step S104.
The specific implementation manner of each of the steps S201 to S204 may refer to the implementation manner of the steps S101 to S104, and will not be described herein. S101-S104 differ from S201-S204 only in that: the steps S101 to S104 are to count all types of users as a whole and judge the advertisement delivery, and the steps S101 to S104 are independently executed for each type of users.
In the scheme, the information of the users is collected, the users are classified based on the collection result, and then the advertisement delivery strategies of the users in different categories are respectively determined, so that different advertisement delivery methods can be adopted in different user categories, the effect of accurately delivering advertisements based on the user categories is achieved, the flexibility of advertisement delivery placement in the application 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 device 300, referring to fig. 3, including: comprising:
the statistics module 301 is configured to count the number of times each of a plurality of pages is opened, where the plurality of pages are pages in the same application program;
a processing module 302, configured to divide the plurality of pages into at least two categories according to the number of times each page of the plurality of 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 category suitable for putting the advertisement according to the operated times of each advertisement on various pages; judging whether the category of the page where each advertisement in each category of advertisements is currently put is a page category where the advertisement is suitable for being put, if not, adjusting the advertisement to the page of the page category where the advertisement is suitable for being put.
Optionally, the processing module 302 is specifically configured to, 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: sequencing the pages according to the sequence from small opening times to large opening times; 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 putting the advertisement according to the operated times of the advertisement on various pages, the processing module 302 is specifically configured to: calculating the points of the advertisements on each type of page based on the operated times of the advertisements on each type of page and the opening times of the pages; determining a page of which the score is highest corresponding to the advertisement as a page type suitable for putting the advertisement; or determining that the page of which the score is larger than the set threshold value is the page category suitable for putting the advertisement.
Optionally, the points of the advertisement of the first category on the page of the first category satisfy the following relationship: sum=p+an-bM, where N is the number of operations of the advertisement on the page, P is the initial integral of the advertisement on the page, M is the number of openings of the page, a and b are weighting coefficients, and a and b are both greater than 0.
Optionally, when determining the page category suitable for putting the advertisement according to the operated times of the advertisement on various pages, the processing module 302 is specifically configured to: determining a page of the highest operation frequency corresponding to the advertisement as a page type suitable for putting the advertisement; or determining that the page of the type with the operation times larger than the set threshold value is the page type suitable for putting the type of advertisement.
Optionally, when determining the page category suitable for putting the advertisement according to the operated times of the advertisement on various pages, 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 of the type with the highest click rate corresponding to the type of advertisement as a page type suitable for putting the type of advertisement; or determining that the page of the type with the click rate larger than the set threshold value is the page type suitable for putting the type of advertisement.
Optionally, the statistics module 301 is specifically configured to, when counting the number of times each of the plurality of pages is opened: counting the times of opening each page in a plurality of pages by each user in at least one type of users; counting the operation times of the user in each type of page on each type of advertisement in at least one type of advertisement; the processing module 302 is specifically configured to, when determining the page category suitable for the advertisement according to the operated times of the advertisement on the various pages: determining the page category suitable for the advertisement aiming at the user according to the operation times of the advertisement on various pages by the user; judging whether the category of the page where each advertisement in the advertisement is currently put is a page category where the advertisement is suitable for being put, if not, adjusting the advertisement to the page of the page category where the advertisement is suitable for being put, and the method is specifically used for: judging whether the category of the page which is put by each advertisement in the advertisement aiming at the user is the page category which is put by the advertisement aiming at the user, if not, adjusting the advertisement to the page which is put by the advertisement aiming at the user.
Reference is made to the specific implementation manner of the corresponding method steps in the above method embodiment for the specific implementation manner of the method steps performed by each module of the apparatus, and this embodiment will not be described in detail.
Based on the same inventive concept, an embodiment of the present application further provides an electronic device 400, referring to fig. 4, including: at least one processor 401, and a memory 402, a communication interface 403, which are communicatively connected to the at least one processor 401; wherein the memory 402 stores instructions executable by the at least one processor 301, the at least one processor 401, by executing the instructions stored in the memory 402, causes the apparatus 300 to perform the in-application advertising method according to the embodiment of the present application.
Based on the same inventive concept, the embodiment of the application also provides a computer readable storage medium, wherein the computer readable storage medium stores computer instructions, and when the computer instructions run on a computer, the computer is caused to execute the in-application advertisement putting method according to the embodiment of the application.
It will be appreciated by those skilled in the art that 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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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 modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (16)

1. An in-application advertising method, comprising:
counting the opening times of each page in a plurality of pages, wherein the plurality of pages are pages in the same application program;
dividing the pages into at least two categories according to the opening times of each page in the pages;
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 advertisement according to the operated times of each type of advertisement on each type of page;
Judging whether the category of the page which is put in each advertisement in each category is the page category which is suitable for putting the advertisement, if not, adjusting the advertisement to the page which is suitable for putting the advertisement;
the determining the page category suitable for putting the advertisement according to the operated times of each type of advertisement on various pages comprises the following steps:
and determining the page category suitable for putting the advertisement according to the operated times of the advertisement of each category on various pages and the opening times of the advertisement of each category.
2. The method of claim 1, wherein dividing the number of pages into at least two categories based on the number of openings on each of the number of pages, comprises:
sequencing the pages according to the sequence from small opening times to large opening times;
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 for which the advertisement is suitable for placement based on the number of times the advertisement is operated on each type of page comprises:
Calculating the points of the advertisements on each type of page based on the operated times of the advertisements on each type of page and the opening times of the pages;
determining a page of which the score is highest corresponding to the advertisement as a page type suitable for putting the advertisement; or determining that the page of which the score is larger than the set threshold value is the page category suitable for putting the advertisement.
4. The method of claim 3, wherein the points of a category of advertisements on a category of pages satisfy the following relationship:
Sum=P+aN-bM;
wherein 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 a and b are both larger than 0.
5. The method of claim 1, wherein determining the page category for which the advertisement is suitable for placement based on the number of times the advertisement is operated on each type of page comprises:
determining a page of the highest operation frequency corresponding to the advertisement as a page type suitable for putting the advertisement; or determining that the page of the type with the operation times larger than the set threshold value is the page type suitable for putting the type of advertisement.
6. The method of claim 1, wherein determining the page category for which the advertisement is suitable for placement based on the number of times the advertisement is operated on each type of page 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 of the type with the highest click rate corresponding to the type of advertisement as a page type suitable for putting the type of advertisement; or determining that the page of the type with the click rate larger than the set threshold value is the page type suitable for putting the type of advertisement.
7. The method of any of claims 1-4, wherein counting the number of openings per page in the number of pages comprises:
counting the times of opening each page in a plurality of pages by each user in at least one type of users;
counting the operated times of each type of advertisement in at least one type of advertisement on each type of page, including: counting the operation times of the user in each type of page on each type of advertisement in at least one type of advertisement;
determining the page category suitable for putting the advertisement according to the operated times of the advertisement on various pages, comprising the following steps: determining the page category suitable for the advertisement aiming at the user according to the operation times of the advertisement on various pages by the user;
Judging whether the category of the page where each advertisement in the advertisement is currently put is a page category where the advertisement is suitable for being put, if not, adjusting the advertisement to the page of the page category where the advertisement is suitable for being put, including: judging whether the category of the page which is put by each advertisement in the advertisement aiming at the user is the page category which is put by the advertisement aiming at the user, if not, adjusting the advertisement to the page which is put by the advertisement aiming at the user.
8. An in-application advertising device, comprising:
the statistics module is used for counting the opening times of each page in a plurality of pages, wherein the plurality of pages are pages in the same application program;
the processing module is used for dividing the pages into at least two categories according to the opening times of each page in the 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 category suitable for putting the advertisement according to the operated times of each advertisement on various pages; judging whether the category of the page which is put in each advertisement in each category is the page category which is suitable for putting the advertisement, if not, adjusting the advertisement to the page which is suitable for putting the advertisement;
The processing module is specifically used for when determining the page category suitable for putting the advertisement according to the operated times of each type of advertisement on various pages:
and determining the page category suitable for putting the advertisement according to the operated times of the advertisement of each category on various pages and the opening times of the advertisement of each category.
9. The apparatus of claim 8, wherein the processing module, when dividing the number of pages into at least two categories according to the number of openings on each of the number of pages, is specifically to:
sequencing the pages according to the sequence from small opening times to large opening times;
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 is configured to, when determining a page category suitable for placement of the advertisement according to the number of times the advertisement is operated on each type of page:
calculating the points of the advertisements on each type of page based on the operated times of the advertisements on each type of page and the opening times of the pages;
Determining a page of which the score is highest corresponding to the advertisement as a page type suitable for putting the advertisement; or determining that the page of which the score is larger than the set threshold value is the page category suitable for putting the advertisement.
11. The apparatus of claim 10, wherein the points of a category of advertisements on a category of pages satisfy the following relationship: sum=p+an-bM, where N is the number of operations of the advertisement on the page, P is the initial integral of the advertisement on the page, M is the number of openings of the page, a and b are weighting coefficients, and a and b are both greater than 0.
12. The apparatus of claim 8, wherein the processing module is configured to, when determining a page category suitable for placement of the advertisement according to the number of times the advertisement is operated on each type of page:
determining a page of the highest operation frequency corresponding to the advertisement as a page type suitable for putting the advertisement; or determining that the page of the type with the operation times larger than the set threshold value is the page type suitable for putting the type of advertisement.
13. The apparatus of claim 8, wherein the processing module is configured to, when determining a page category suitable for placement of the advertisement according to the number of times the advertisement is operated on each type of page:
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 of the type with the highest click rate corresponding to the type of advertisement as a page type suitable for putting the type of advertisement; or determining that the page of the type with the click rate larger than the set threshold value is the page type suitable for putting the type of advertisement.
14. The apparatus according to any one of claims 8-11, wherein the statistics module is configured to, when counting the number of openings of each of the plurality of pages:
counting the times of opening each page in a plurality of pages by each user in at least one type of users; counting the operation times of the user in each type of page on each type of advertisement in at least one type of advertisement;
the processing module is specifically used for determining the page category suitable for putting the advertisement according to the operated times of the advertisement on various pages: determining the page category suitable for the advertisement aiming at the user according to the operation times of the advertisement on various pages by the user; judging whether the category of the page where each advertisement in the advertisement is currently put is a page category where the advertisement is suitable for being put, if not, adjusting the advertisement to the page of the page category where the advertisement is suitable for being put, and the method is specifically used for: judging whether the category of the page which is put by each advertisement in the advertisement aiming at the user is the page category which is put by the advertisement aiming at the user, if not, adjusting the advertisement to the page which is put by the advertisement aiming at 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 for executing the instructions in the memory to cause the electronic device to perform the method of any of claims 1-7 when the instructions are executed.
16. A computer readable storage medium storing computer instructions which, when run on a computer, cause the computer to perform the method of any one of claims 1-7.
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