CN110175290B - Content pushing method and device - Google Patents
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- CN110175290B CN110175290B CN201910441420.6A CN201910441420A CN110175290B CN 110175290 B CN110175290 B CN 110175290B CN 201910441420 A CN201910441420 A CN 201910441420A CN 110175290 B CN110175290 B CN 110175290B
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Abstract
The embodiment of the application discloses a content pushing method and a content pushing device, and specifically, attribute information of a first application program is obtained at first, wherein the attribute information comprises an application type and a content index value. Then, the relevance between the first application program and the second application program is determined according to the application type of each first application program, and the first score of each first application program is calculated according to the application content index value of each first application program and the relevance between the first application program and the second application program. And sequencing the first scores of the first application programs to obtain a first sequencing result, and determining a target first application program pushed to a second application program according to the first sequencing result. Namely, whether the first application program is pushed to the second application program is determined according to the application index value of each first application program and the association degree of the first application program and the second application program, so that the information of the first application program is displayed to the user through the second application program.
Description
Technical Field
The application relates to the technical field of internet, in particular to a content pushing method and device.
Background
With the development of internet technology, users have become accustomed to using various applications in mobile terminals, and thus, applications capable of implementing various functions are increasing. For manufacturers of application programs, how to make the application programs more effectively displayed to users is an urgent technical problem to be solved.
Disclosure of Invention
In view of this, embodiments of the present application provide a content pushing method and apparatus, so as to implement accurate pushing of an application.
In order to solve the above problem, the technical solution provided by the embodiment of the present application is as follows:
in a first aspect of the embodiments of the present application, a content push method is provided, where the method includes:
acquiring attribute information of a first application program, wherein the attribute information comprises an application type and an application content index value;
determining the association degree of each first application program and a second application program according to the application type of each first application program;
calculating a first score of each first application program according to the application content index value of each first application program and the association degree of each first application program and a second application program;
and sequencing the first scores of the first application programs to obtain a first sequencing result, and determining a target first application program pushed to the second application program according to the first sequencing result so that the second application program obtains and displays the information of the target first application program.
In a possible implementation manner, the determining a degree of association between each of the first applications and the second application according to the application type of each of the first applications includes:
acquiring application list information of at least one user of a second application program;
obtaining the associated application program type sequence corresponding to the second application program according to the application list information of the at least one user;
and determining the association degree of each first application program and the second application program according to the position of the application type of each first application program in the associated application program type sequence corresponding to the second application program.
In a possible implementation manner, the calculating a first score of each first application according to the application content index value of each first application and the association degree of each first application and the second application includes:
and normalizing each application content index value of the ith first application program and the association degree of the ith first application program and the second application program, and then carrying out weighted summation to obtain a first score of the ith first application program, wherein i is an integer from 1 to n, and n is the number of the first application programs.
In one possible implementation, the method further includes:
acquiring application list information of a target user of the second application program;
determining the association degree of each target first application program and the target user according to the application list information of the target user;
calculating a second score of each target first application program according to the application content index value of each target first application program and the association degree of each target first application program and the target user;
and sequencing the second scores of the target first application programs to obtain a second sequencing result, and determining the target first application programs pushed to the target user according to the second sequencing result.
In a possible implementation manner, the determining, according to the application list information of the target user, a degree of association between each target first application and the target user includes:
obtaining the type sequence of the associated application program corresponding to the target user according to the application list information of the target user;
and determining the association degree of each target first application program and the target user according to the position of the application type of each target first application program in the associated application program type sequence corresponding to the target user.
In a possible implementation manner, the calculating a second score of each target first application according to the application content index value of each target first application and the association degree between each target first application and the target user includes:
and normalizing each application content index value of the jth target first application program and the association degree of the jth target first application program and the target user, and then carrying out weighted summation to obtain a second score of the jth target first application program, wherein j is an integer from 1 to m, and m is the number of the target first application programs.
In one possible implementation, the method further includes:
acquiring application list information of a target user of the second application program;
determining the association degree of each first application program and the target user according to the application list information of the target user;
calculating a third score of each first application program according to the application content index value of each first application program, the association degree of each first application program and the second application program and the association degree of each first application program and the target user;
and sequencing the third scores of the first application programs to obtain a third sequencing result, and determining a target first application program pushed to the target user according to the third sequencing result.
In a possible implementation manner, the determining, according to the application list information of the target user, a degree of association between each first application program and the target user includes:
obtaining the type sequence of the associated application program corresponding to the target user according to the application list information of the target user;
and determining the association degree of each first application program and the target user according to the position of the application type of each first application program in the associated application program type sequence corresponding to the target user.
In a possible implementation manner, the calculating a third score of each first application according to the application content index value of each target first application, the association degree between each first application and the second application, and the association degree between each first application and the target user includes:
and normalizing each application content index value of the ith first application program, the association degree of the ith first application program and the second application program and the association degree of the ith first application program and the target user, and then carrying out weighted summation to obtain a third score of the ith first application program, wherein i is an integer from 1 to n, and n is the number of the first application programs.
In a second aspect of the embodiments of the present application, there is provided a content pushing apparatus, where the apparatus includes:
the device comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is used for acquiring attribute information of a first application program, and the attribute information comprises an application type and an application content index value;
the first determining unit is used for determining the association degree of each first application program and the second application program according to the application type of each first application program;
the first calculation unit is used for calculating a first score of each first application program according to the application content index value of each first application program and the association degree of each first application program and a second application program;
and the second determining unit is used for sequencing the first scores of the first application programs to obtain a first sequencing result, and determining a target first application program pushed to the second application program according to the first sequencing result so that the second application program can obtain and display the information of the target first application program.
In a possible implementation manner, the first determining unit includes:
a first acquiring subunit, configured to acquire application list information of at least one user of the second application program;
the second obtaining subunit is configured to obtain, according to the application list information of the at least one user, an associated application type ranking corresponding to the second application;
and the first determining subunit is used for determining the association degree of each first application program and the second application program according to the position of the application type of each first application program in the associated application program type sequence corresponding to the second application program.
In a possible implementation manner, the first calculating unit is specifically configured to perform normalization and then weighted summation on each application content index value of an ith first application program and an association degree of the ith first application program and a second application program, so as to obtain a first score of the ith first application program, where i is an integer taking values from 1 to n, and n is the number of the first application programs.
In one possible implementation, the apparatus further includes:
a second acquisition unit configured to acquire application list information of a target user of the second application program;
a third determining unit, configured to determine, according to the application list information of the target user, a degree of association between each of the target first applications and the target user;
the second calculation unit is used for calculating a second score of each target first application program according to the application content index value of each target first application program and the association degree of each target first application program and the target user;
and the fourth determining unit is used for sequencing the second scores of the target first applications to obtain a second sequencing result, and determining the target first applications to be pushed to the target user according to the second sequencing result.
In a possible implementation manner, the third determining unit includes:
a third obtaining subunit, configured to obtain, according to the application list information of the target user, a type ranking of associated application programs corresponding to the target user;
and the second determining subunit is used for determining the association degree of each target first application program and the target user according to the position of the application type of each target first application program in the associated application program type sequence corresponding to the target user.
In a possible implementation manner, the second calculating unit is specifically configured to perform normalization and then weighted summation on each application content index value of a jth target first application and the association degree of the jth target first application and the target user, so as to obtain a second score of the jth target first application, where j is an integer taking a value from 1 to m, and m is the number of the target first applications.
In one possible implementation, the apparatus further includes:
a third acquisition unit configured to acquire application list information of a target user of the second application program;
a fifth determining unit, configured to determine, according to the application list information of the target user, a degree of association between each of the first applications and the target user;
a third calculating unit, configured to calculate a third score of each first application according to an application content index value of each first application, an association degree between each first application and the second application, and an association degree between each first application and the target user;
and the sixth determining unit is used for sequencing the third scores of the first application programs to obtain a third sequencing result, and determining the target first application program pushed to the target user according to the third sequencing result.
In a possible implementation manner, the fifth determining unit includes:
a fourth obtaining subunit, configured to obtain, according to the application list information of the target user, a type ranking of associated application programs corresponding to the target user;
and the third determining subunit is used for determining the association degree of each first application program and the target user according to the position of the application type of each first application program in the associated application program type sequence corresponding to the target user.
In a possible implementation manner, the third computing unit, after normalizing each application content index value of the ith first application program, the association degree between the ith first application program and the second application program, and the association degree between the ith first application program and the target user by the specific user, performs weighted summation to obtain a third score of the ith first application program, where i is an integer taking a value from 1 to n, and n is the number of the first application programs.
Therefore, the embodiment of the application has the following beneficial effects:
in this embodiment of the present application, first, attribute information of a first application program is obtained, where the attribute information may include an application type and an application content indicator value of the first application program. Then, the relevance between the first application program and the second application program is determined according to the application type of each first application program, and the first score of each first application program is calculated according to the application content index value of each first application program and the relevance between the first application program and the second application program. And sequencing the first scores of the first application programs to obtain a first sequencing result, and determining a target first application program pushed to a second application program according to the first sequencing result, so that the second application program obtains and displays the information of the target first application program. That is, in the embodiment of the present application, whether to push the first application program to the second application program is determined according to the application indicator value of each first application program itself and the association degree between the first application program and the second application program, so that the information of the first application program is presented to the user through the second application program, and when the user uses the second application program, the user can browse the related information of the first application program.
Drawings
Fig. 1 is an exemplary diagram of an application scenario provided in an embodiment of the present application;
fig. 2 is a flowchart of a content pushing method according to an embodiment of the present application;
fig. 3 is a flowchart of another content pushing method provided in an embodiment of the present application;
fig. 4 is a flowchart of another content pushing method provided in an embodiment of the present application;
fig. 5 is a structural diagram of a content push apparatus according to an embodiment of the present application.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, embodiments accompanying the drawings are described in detail below.
The inventor finds that some application programs with large flow exist in practical application, and because the application programs have the characteristics of large flow, large client access amount and the like, in order to promote some new application programs or application programs with small access amount, the application programs with large flow can be used for pushing, so that the access probability is increased.
Based on this, an embodiment of the present application provides a content pushing method, which specifically includes acquiring attribute information of a first application program, that is, acquiring attribute information of an application program to be pushed, and determining an association degree between the first application program and a second application program according to an application type of the first application program in the attribute information. And then, determining a first score of the first application program according to the application content index value of the first application program and the association degree of the first application program and the second application program in the attribute information. And obtaining a corresponding first score for each first application program, sequencing the first scores of each first application program to obtain a first sequencing result, and determining a target first application program pushed to a second application program according to the first sequencing result so as to display the information of the target first application program in the second application program. That is, the present application exposes the target first application with the second application having a large flow rate to increase the probability that the target first application is accessed.
For facilitating understanding of the embodiment of the present application, referring to the application scenario embodiment shown in fig. 1, where the server 101 may be configured to execute the content recommendation method of the embodiment of the present application, the client 102 is a second application, and the second application may obtain the push result by calling a software development kit SDK. Wherein the SDK may be integrated at the client 102.
In a specific implementation, the server 101 obtains attribute information of the first application program, and then determines the association degree between the first application program and the second application program according to the application type in the attribute information. And calculating a first score of each first application program according to the application content index value in the attribute information and the association degree of the first application program and the second application program. And sequencing the first scores of the first application programs to obtain a first sequencing result, and determining a target first application program pushed to a second application program according to the first sequencing result. The second application 102 may invoke the SDK so that the second application may obtain and expose information for the target first application.
For the convenience of understanding the content pushing method provided by the embodiments of the present application, the present application will be described with reference to the accompanying drawings.
Referring to fig. 2, which is a flowchart of a content pushing method provided in an embodiment of the present application, as shown in fig. 2, the method may include:
s201: attribute information of the first application program is acquired.
In this embodiment, for each to-be-pushed first application program, attribute information of the first application program that is saved in advance may be acquired. The attribute information may include an application type and an application content index value, where the application type refers to a type to which the first application program belongs, and for example, when the first application program is a game application program, the application type may be a chess game, a cancel game, a race game, or the like. The application content index value may reflect the content popularity of the application program, such as user ratings, number of active users, and the like.
S202: and determining the association degree of each first application program and each second application program according to the application type of each first application program.
In this embodiment, after the attribute information of each first application program is acquired, the association degree between the first application program and the second application program is determined according to the application type in the attribute information. For example, if the application type of the first application is a board game, the association degree of the board game with the second application is determined. The second application program can be an application program with larger user traffic, and the related first application program is pushed to the second application program.
In a specific implementation, this embodiment provides an implementation manner for determining the association degree between the first application program and the second application program according to the application type, and specifically may include the following steps:
1) application list information of at least one user of the second application program is acquired.
In actual use, application list information of some or all of the users using the second application may be acquired, and the application list information may include information of all other applications that the users using the second application also use. For example, the second application is a music application, and the user 1 who uses the music application also uses the application 1, the application 2, and the application 3; the user 2 also uses the application 1, the application 2, the application 4, and the application 5. The application list information of the user 1 includes an application 1, an application 2, and an application 3; the application list information of the user 2 includes the application 1, the application 2, the application 4, and the application 5.
2) And obtaining the associated application program type sequence of the second application program according to the application list information of at least one user.
In this embodiment, the associated application program type ordering corresponding to the second application program may be obtained according to the application list information of the multiple users. In specific implementation, the frequency of occurrence of the associated application program type corresponding to the second application program may be counted according to the application list information of the plurality of users, and the ranking of each associated application program type may be obtained according to the frequency. For example, in the application list information of the user 1, the application program 1 and the application program 2 are chess games, and the application program 3 is an elimination game; if the application program 4 in the application list information of the user 2 is an elimination game and the application program 5 is a racing game, the frequency of the chess game is 4, the frequency of the elimination game is 2, the frequency of the racing game is 1, and the result of the type ordering of the associated application programs of the second application program is the chess game, the elimination game and the racing game.
3) And determining the association degree of each first application program and the second application program according to the position of the application type of each first application program in the associated application program type sequence corresponding to the second application program.
In this embodiment, after the associated application type ranking corresponding to the second application is obtained, the association degree between the first application and the second application may be determined according to the position of the application type of the first application in the associated application type ranking corresponding to the second application. In actual application, different association degrees can be preset according to the position information, so that the corresponding association degrees can be obtained according to the position of the application type of the first application in the associated application type sequence. It will be appreciated that the more top ranked associated application types have a greater degree of correspondence.
For example, the application type of the first application program 1 is a chess and card game, and if the chess and card game is located at the first place in the associated application program type corresponding to the second application program, the corresponding association degree is 0.6; the application type of the first application program 2 is a cancellation type game, and if the cancellation type game is located second in the associated application program type corresponding to the second application program, the corresponding association degree is 0.3.
S203: and calculating a first score of each first application program according to the application content index value of each first application program and the association degree of each first application program and each second application program.
In this embodiment, after obtaining the association degree between the first application program and the second application program, the first score of the first application program may be calculated according to the application content index value and the association degree of the first application program.
It will be appreciated that the application content indicator value for the first application may comprise a plurality of indicator values, and for each application content indicator value and degree of association a first score for the first application may be calculated. In actual application, the application content index value and the relevance may be directly added, and the sum value is used as the first score of the first application program, or the application content index value and the relevance may be normalized first, and then weighted and summed, so as to obtain the first score of the first application program.
In a specific implementation, this embodiment provides an implementation manner for calculating a first score of a first application program, specifically, the first score of an ith first application program is obtained by performing weighted summation after normalization on each application content index value of the ith first application program and an association degree between the ith first application program and a second application program, where i is an integer taking values from 1 to n, and n is the number of the first application programs. That is, for each first application, the application content index values and the relevance of the first application are normalized and then weighted and summed, and the sum is used as the first score of the first application.
S204: and sequencing the first scores of the first application programs to obtain a first sequencing result, and determining a target first application program pushed to a second application program according to the first sequencing result so that the second application program can obtain and display the information of the target first application program.
In this embodiment, after the first score of each first application is obtained, the first application is ranked according to the first score to obtain a first ranking result, and a target first application that can be pushed to a second application is determined according to the first ranking result, so that the second application can obtain and display information of the target first application. In a specific implementation, the previous preset first application program may be determined as the target first application program according to the first sorting result.
In practical application, after the target first application program is determined, the second application program can obtain the information of the target first application program by calling the SDK and display the information on a corresponding page of the target first application program, so that a user using the second application program can browse the target first application program.
As can be seen from the above embodiments, first, attribute information of the first application program is obtained, where the attribute information may include an application type and an application content indicator value of the first application program. Then, the relevance between the first application program and the second application program is determined according to the application type of each first application program, and the first score of each first application program is calculated according to the application content index value of each first application program and the relevance between the first application program and the second application program. And sequencing the first scores of the first application programs to obtain a first sequencing result, and determining a target first application program pushed to a second application program according to the first sequencing result, so that the second application program obtains and displays the information of the target first application program. That is, in the embodiment of the present application, whether to push the first application program to the second application program is determined according to the application indicator value of each first application program itself and the association degree between the first application program and the second application program, so that the information of the first application program is presented to the user through the second application program, and when the user uses the second application program, the user can browse the related information of the first application program.
It can be understood that, in order to meet the personalized requirements of the user, on the basis of the above embodiment, the first application program with higher association degree with the user may be selected from the target first application programs according to the personal behavior data of the user using the second application program, and the first application program is pushed to the user, so that personalized push is implemented, and the user experience is improved.
Based on this, the embodiment of the present application further provides a content pushing method, which will be described below with reference to the accompanying drawings.
Referring to fig. 3, which is a flowchart of another content pushing method provided in an embodiment of the present application, as shown in fig. 3, the method may include:
s301: application list information of a target user of the second application program is acquired.
In this embodiment, a certain user using the second application program is taken as a target user, and the application list information of the target user is obtained, where the application list information may include related information of other application programs used by the target user.
S302: and determining the association degree of each target first application program and the target user according to the application list information of the target user.
In this embodiment, after the application list information of the target user is obtained, the association degree between each target first application program and the target user is determined according to the application list information.
In specific implementation, this embodiment provides an implementation manner for determining the association degree between the target first application program and the target user, specifically, obtaining the type sequence of the associated application program corresponding to the target user according to the application list information of the target user; and determining the association degree of each target first application program and the target user according to the position of the application type of each target first application program in the associated application program type sequence corresponding to the target user.
In this embodiment, the associated application program type sequence corresponding to the target user may be obtained according to the application list information of the target user. In a specific implementation, the frequency of the same application type in the application list information may be counted to determine the application type ranking according to the frequency of each application type. For example, the application list information of the target user 1 includes an application 1, an application 2, and an application 3, where the application 1 and the application 2 are chess games, and the application 3 is an elimination game. The occurrence frequency of the chess and card games is 2, the occurrence frequency of the elimination games is 1, and the sequencing result of the associated application program types corresponding to the target user is the chess and card games and the elimination games.
After the associated application type sequence corresponding to the target user is obtained, the association degree between the target first application and the target user may be determined according to the position of the application type of the target first application in the associated application type sequence corresponding to the target user. In practical application, different association degrees can be preset according to the position information, so that the corresponding association degrees can be obtained according to the position of the application type of the target first application program in the associated application program type sequence. It will be appreciated that the more top ranked associated application types have a greater degree of correspondence. For example, the application type of the first application program 1 is a chess game, and if the chess game is positioned at the first place in the associated application program type corresponding to the target user, the corresponding association degree is 0.7; the application type of the first application program 2 is a cancellation type game, and if the cancellation type game is positioned second in the associated application program type corresponding to the target user, the corresponding association degree is 0.3.
S303: and calculating a second score of each target first application program according to the application content index value of each target first application program and the association degree of each target first application program and the target user.
In this embodiment, after obtaining the association degree between the target first application program and the target user, the second score of the target first application program may be calculated according to the application content index value and the association degree of the target first application program.
It will be appreciated that the application content indicator value for the target first application may comprise a plurality of indicator values, and for each application content indicator value and degree of association a second score for the target first application may be calculated. In actual application, the application content index value and the relevance may be directly added, and the sum value is used as the second score of the target first application program, or the application content index value and the relevance may be normalized first, and then weighted and summed, so as to obtain the second score of the target first application program.
In specific implementation, this embodiment provides an implementation manner for calculating a second score of a target first application program, specifically, each application content index value of a jth target first application program and an association degree of the jth target first application program and a target user are normalized and then weighted and summed to obtain the second score of the jth target first application program, where j is an integer from 1 to m, and m is the number of the target first application programs. That is, for each target first application program, each application content index value and the relevance of the target first application program are normalized and then weighted and summed, and the sum value is used as a second score of the target first application program.
S304: and sequencing the second scores of the target first application programs to obtain a second sequencing result, and determining the target first application programs pushed to the target user according to the second sequencing result.
In this embodiment, after the second score of each target first application program is obtained, the target first application programs are ranked according to the second score to obtain a second ranking result, and the target first application program which can be pushed to the target user is determined according to the second ranking result, so that personalized pushing to the user is achieved. In a specific implementation, the previous preset target first application programs may be determined as the target first application programs according to the second sorting result.
In practical application, each user in the second application program can be pushed to the user in a personalized manner by the method.
In this way, after the target first application program is determined according to the application content index value of the first application program and the association degree between the first application program and the second application program, the association degree between each target first application program and the target user is determined according to the application list information of the target user of the second application program. And then, determining the target first application program pushed to the target user according to the application content index value of the target first application program and the association degree of the target first application program and the target user. Namely, the content pushed to each different target user is determined from the first determined target first application program, so that personalized pushing is realized, and the user experience is improved.
In a possible implementation manner of the embodiment of the present application, another method for pushing content to a user is further provided, where the method determines whether to push a first application program to a target user according to an application content indicator value of the first application program, an association degree between the first application program and a second application program, and an association degree between the first application program and the target user. For ease of understanding, the method will be described below with reference to the accompanying drawings.
Referring to fig. 4, which is a flowchart of another content pushing method provided in the embodiment of the present application, as shown in fig. 4, the method may include:
s401: obtaining attribute information of the first application program, wherein the attribute information comprises an application type and an application content index value.
S402: and determining the association degree of each first application program and each second application program according to the application type of each first application program.
In this embodiment, after the attribute information of each first application program is obtained, the association degree between the first application program and the second application program may be determined according to the application type in the attribute information. During specific implementation, the application list information of at least one user of the second application program may be acquired, then the associated application program type sequence of the second application program is obtained according to the application list information, and then the association degree between each first application program and the second application program is determined according to the position of the application type of each first application program in the associated application program type sequence corresponding to the second application program.
It should be noted that, in this embodiment, specific implementation of S401 to S402 may refer to S201 to S202, and this embodiment is not described herein again.
S403: application list information of a target user of the second application program is acquired.
S404: and determining the association degree of each first application program and the target user according to the application list information of the target user.
In this embodiment, each user corresponding to the second application program is taken as a target user, and the application list information of the target user is obtained, where the application list information may include related information of other application programs used by the target user. And then, determining the association degree of each first application program and the target user according to the application list information of the target user.
In specific implementation, this embodiment provides an implementation manner for determining the association degree between the first application program and the target user, specifically, the type sequence of the associated application program corresponding to the target user is obtained according to the application list information of the target user; and determining the association degree of each first application program and the target user according to the position of the application type of each first application program in the associated application program type sequence corresponding to the target user.
In this embodiment, the associated application program type sequence corresponding to the target user may be obtained according to the application list information of the target user. In a specific implementation, the frequency of the same application type in the application list information may be counted to determine the application type ranking according to the frequency of each application type. After the associated application program type sequence corresponding to the target user is obtained, the association degree between the first application program and the target user can be determined according to the position of the application type of the first application program in the associated application program sequence corresponding to the target user. In practical application, different association degrees can be preset according to the position information, so that the corresponding association degrees can be obtained according to the position of the application type of the first application program in the associated application program type sequence. It will be appreciated that the more top ranked associated application types have a greater degree of correspondence.
S405: and calculating a third score of each first application program according to the application content index value of each first application program, the association degree of each first application program and the second application program and the association degree of each first application program and the target user.
In this embodiment, after obtaining the association degrees between the first application program and the second application program and the association degree between the first application program and the target user, the third score of the first application program is calculated according to the application content index value of the first application program, the association degrees between the first application program and the second application program, and the association degrees between the first application program and the target user.
It will be appreciated that the application content indicator value for the first application may comprise a plurality of indicator values, and for each application content indicator value and degree of association a third score for the first application may be calculated. In actual application, the application content index value and the relevance may be directly added, and the sum value is used as the third score of the first application program, or the application content index value and the relevance may be normalized first and then weighted and summed to obtain the third score of the first application program.
In a specific implementation, this embodiment provides an implementation manner for calculating a third score of a first application program, specifically, each application content index value of an ith first application program, an association degree of the ith first application program and a second application program, and an association degree of the ith first application program and a target user are normalized and then weighted and summed to obtain the third score of the ith first application program, where i is an integer from 1 to n, and n is the number of the first application programs. That is, for each first application, each application content index value of the first application and the corresponding two relevance degrees are normalized and then weighted and summed, and the sum value is used as a third score of the first application.
S406: and sequencing the third scores of the first application programs to obtain a third sequencing result, and determining the target first application program pushed to the target user according to the third sequencing result.
In this embodiment, after the third score of each first application program is obtained, the first application programs are ranked according to the third score to obtain a third ranking result, and the first application program that can be pushed to the target user is determined according to the third ranking result, so that personalized pushing to the user is achieved. In a specific implementation, the first preset first application may be determined as the target first application according to the third sorting result.
In practical application, each user in the second application program can be pushed to the user in a personalized manner by the method.
As can be seen from the above, for each first application, first, the association degree between the first application and the second application and the association degree between the first application and the target user in the second application are determined. And then, determining whether the first application program is pushed to the target user according to each application content index value of the first application program, the association degree of the first application program and the second application program and the association degree of the first application program and the target user, thereby realizing personalized pushing to the user.
Based on the above method embodiment, the embodiment of the present application further provides a content pushing device, which will be described below with reference to the accompanying drawings.
Referring to fig. 5, which is a block diagram of a content pushing apparatus provided in an embodiment of the present application, as shown in fig. 5, the apparatus may include:
a first obtaining unit 501, configured to obtain attribute information of a first application, where the attribute information includes an application type and an application content index value;
a first determining unit 502, configured to determine, according to an application type of each first application, a degree of association between each first application and a second application;
a first calculating unit 503, configured to calculate a first score of each first application according to an application content indicator value of each first application and a correlation degree between each first application and a second application;
a second determining unit 504, configured to rank the first scores of the first applications to obtain a first ranking result, and determine, according to the first ranking result, a target first application to be pushed to the second application, so that the second application obtains and displays information of the target first application.
In a possible implementation manner, the first determining unit includes:
a first acquiring subunit, configured to acquire application list information of at least one user of the second application program;
the second obtaining subunit is configured to obtain, according to the application list information of the at least one user, an associated application type ranking corresponding to the second application;
and the first determining subunit is used for determining the association degree of each first application program and the second application program according to the position of the application type of each first application program in the associated application program type sequence corresponding to the second application program.
In a possible implementation manner, the first calculating unit is specifically configured to perform normalization and then weighted summation on each application content index value of an ith first application program and an association degree of the ith first application program and a second application program, so as to obtain a first score of the ith first application program, where i is an integer taking values from 1 to n, and n is the number of the first application programs.
In one possible implementation, the apparatus further includes:
a second acquisition unit configured to acquire application list information of a target user of the second application program;
a third determining unit, configured to determine, according to the application list information of the target user, a degree of association between each of the target first applications and the target user;
the second calculation unit is used for calculating a second score of each target first application program according to the application content index value of each target first application program and the association degree of each target first application program and the target user;
and the fourth determining unit is used for sequencing the second scores of the target first applications to obtain a second sequencing result, and determining the target first applications to be pushed to the target user according to the second sequencing result.
In a possible implementation manner, the third determining unit includes:
a third obtaining subunit, configured to obtain, according to the application list information of the target user, a type ranking of associated application programs corresponding to the target user;
and the second determining subunit is used for determining the association degree of each target first application program and the target user according to the position of the application type of each target first application program in the associated application program type sequence corresponding to the target user.
In a possible implementation manner, the second calculating unit is specifically configured to perform normalization and then weighted summation on each application content index value of a jth target first application and the association degree of the jth target first application and the target user, so as to obtain a second score of the jth target first application, where j is an integer taking a value from 1 to m, and m is the number of the target first applications.
In one possible implementation, the apparatus further includes:
a third acquisition unit configured to acquire application list information of a target user of the second application program;
a fifth determining unit, configured to determine, according to the application list information of the target user, a degree of association between each of the first applications and the target user;
a third calculating unit, configured to calculate a third score of each first application according to an application content index value of each first application, an association degree between each first application and the second application, and an association degree between each first application and the target user;
and the sixth determining unit is used for sequencing the third scores of the first application programs to obtain a third sequencing result, and determining the target first application program pushed to the target user according to the third sequencing result.
In a possible implementation manner, the fifth determining unit includes:
a fourth obtaining subunit, configured to obtain, according to the application list information of the target user, a type ranking of associated application programs corresponding to the target user;
and the third determining subunit is used for determining the association degree of each first application program and the target user according to the position of the application type of each first application program in the associated application program type sequence corresponding to the target user.
In a possible implementation manner, the third computing unit, after normalizing each application content index value of the ith first application program, the association degree between the ith first application program and the second application program, and the association degree between the ith first application program and the target user by the specific user, performs weighted summation to obtain a third score of the ith first application program, where i is an integer taking a value from 1 to n, and n is the number of the first application programs.
It should be noted that, implementation of each unit in this embodiment may refer to the above method embodiment, and this embodiment is not described herein again.
With the above description, first, attribute information of the first application program is obtained, and the attribute information may include an application type and an application content index value of the first application program. Then, the relevance between the first application program and the second application program is determined according to the application type of each first application program, and the first score of each first application program is calculated according to the application content index value of each first application program and the relevance between the first application program and the second application program. And sequencing the first scores of the first application programs to obtain a first sequencing result, and determining a target first application program pushed to a second application program according to the first sequencing result, so that the second application program obtains and displays the information of the target first application program. That is, in the embodiment of the present application, whether to push the first application program to the second application program is determined according to the application indicator value of each first application program itself and the association degree between the first application program and the second application program, so that the information of the first application program is presented to the user through the second application program, and when the user uses the second application program, the user can browse the related information of the first application program.
It should be noted that, in the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. For the system or the device disclosed by the embodiment, the description is simple because the system or the device corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
It should be understood that in the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" for describing an association relationship of associated objects, indicating that there may be three relationships, e.g., "a and/or B" may indicate: only A, only B and both A and B are present, wherein A and B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of single item(s) or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
It is further noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (16)
1. A method for pushing content, the method comprising:
acquiring attribute information of a first application program, wherein the attribute information comprises an application type and an application content index value;
determining the association degree of each first application program and a second application program according to the application type of each first application program;
calculating a first score of each first application program according to the application content index value of each first application program and the association degree of each first application program and a second application program;
sequencing the first scores of the first application programs to obtain a first sequencing result, and determining a target first application program pushed to the second application program according to the first sequencing result so that the second application program can obtain and display information of the target first application program;
the determining the association degree of each first application program and the second application program according to the application type of each first application program comprises the following steps:
acquiring application list information of at least one user of a second application program;
obtaining the associated application program type sequence corresponding to the second application program according to the application list information of the at least one user;
and determining the association degree of each first application program and the second application program according to the position of the application type of each first application program in the associated application program type sequence corresponding to the second application program.
2. The method of claim 1, wherein calculating the first score for each of the first applications based on the application context indicator value for each of the first applications and the association of each of the first applications with the second application comprises:
and normalizing each application content index value of the ith first application program and the association degree of the ith first application program and the second application program, and then carrying out weighted summation to obtain a first score of the ith first application program, wherein i is an integer from 1 to n, and n is the number of the first application programs.
3. The method of claim 1, further comprising:
acquiring application list information of a target user of the second application program;
determining the association degree of each target first application program and the target user according to the application list information of the target user;
calculating a second score of each target first application program according to the application content index value of each target first application program and the association degree of each target first application program and the target user;
and sequencing the second scores of the target first application programs to obtain a second sequencing result, and determining the target first application programs pushed to the target user according to the second sequencing result.
4. The method of claim 3, wherein determining the association degree of each target first application with the target user according to the application list information of the target user comprises:
obtaining the type sequence of the associated application program corresponding to the target user according to the application list information of the target user;
and determining the association degree of each target first application program and the target user according to the position of the application type of each target first application program in the associated application program type sequence corresponding to the target user.
5. The method of claim 3, wherein calculating the second score for each of the target first applications based on the application content indicator value for each of the target first applications and the association of each of the target first applications with the target user comprises:
and normalizing each application content index value of the jth target first application program and the association degree of the jth target first application program and the target user, and then carrying out weighted summation to obtain a second score of the jth target first application program, wherein j is an integer from 1 to m, and m is the number of the target first application programs.
6. The method of claim 1, further comprising:
acquiring application list information of a target user of the second application program;
determining the association degree of each first application program and the target user according to the application list information of the target user;
calculating a third score of each first application program according to the application content index value of each first application program, the association degree of each first application program and the second application program and the association degree of each first application program and the target user;
and sequencing the third scores of the first application programs to obtain a third sequencing result, and determining a target first application program pushed to the target user according to the third sequencing result.
7. The method of claim 6, wherein determining the association degree of each first application with the target user according to the application list information of the target user comprises:
obtaining the type sequence of the associated application program corresponding to the target user according to the application list information of the target user;
and determining the association degree of each first application program and the target user according to the position of the application type of each first application program in the associated application program type sequence corresponding to the target user.
8. The method of claim 6, wherein calculating a third score for each of the first applications based on the application content indicator value for each of the target first applications, the association of each of the first applications with the second application, and the association of each of the first applications with the target user comprises:
and normalizing each application content index value of the ith first application program, the association degree of the ith first application program and the second application program and the association degree of the ith first application program and the target user, and then carrying out weighted summation to obtain a third score of the ith first application program, wherein i is an integer from 1 to n, and n is the number of the first application programs.
9. A content pushing apparatus, characterized in that the apparatus comprises:
the device comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is used for acquiring attribute information of a first application program, and the attribute information comprises an application type and an application content index value;
the first determining unit is used for determining the association degree of each first application program and the second application program according to the application type of each first application program;
the first calculation unit is used for calculating a first score of each first application program according to the application content index value of each first application program and the association degree of each first application program and a second application program;
the second determining unit is used for sequencing the first scores of the first application programs to obtain a first sequencing result, and determining a target first application program pushed to the second application program according to the first sequencing result so that the second application program can obtain and display the information of the target first application program;
the first determination unit includes:
a first acquiring subunit, configured to acquire application list information of at least one user of the second application program;
the second obtaining subunit is configured to obtain, according to the application list information of the at least one user, an associated application type ranking corresponding to the second application;
and the first determining subunit is used for determining the association degree of each first application program and the second application program according to the position of the application type of each first application program in the associated application program type sequence corresponding to the second application program.
10. The apparatus according to claim 9, wherein the first computing unit is specifically configured to perform normalization and then weighted summation on each application content index value of an ith first application and the association degree between the ith first application and a second application, to obtain a first score of the ith first application, where i is an integer taking a value from 1 to n, and n is the number of the first applications.
11. The apparatus of claim 9, further comprising:
a second acquisition unit configured to acquire application list information of a target user of the second application program;
a third determining unit, configured to determine, according to the application list information of the target user, a degree of association between each of the target first applications and the target user;
the second calculation unit is used for calculating a second score of each target first application program according to the application content index value of each target first application program and the association degree of each target first application program and the target user;
and the fourth determining unit is used for sequencing the second scores of the target first applications to obtain a second sequencing result, and determining the target first applications to be pushed to the target user according to the second sequencing result.
12. The apparatus of claim 11, wherein the third determining unit comprises:
a third obtaining subunit, configured to obtain, according to the application list information of the target user, a type ranking of associated application programs corresponding to the target user;
and the second determining subunit is used for determining the association degree of each target first application program and the target user according to the position of the application type of each target first application program in the associated application program type sequence corresponding to the target user.
13. The apparatus according to claim 11, wherein the second calculating unit is specifically configured to perform normalization and then weighted summation on each application content index value of a jth target first application and the association degree between the jth target first application and the target user, so as to obtain a second score of the jth target first application, where j is an integer taking a value from 1 to m, and m is the number of the target first applications.
14. The apparatus of claim 9, further comprising:
a third acquisition unit configured to acquire application list information of a target user of the second application program;
a fifth determining unit, configured to determine, according to the application list information of the target user, a degree of association between each of the first applications and the target user;
a third calculating unit, configured to calculate a third score of each first application according to an application content index value of each first application, an association degree between each first application and the second application, and an association degree between each first application and the target user;
and the sixth determining unit is used for sequencing the third scores of the first application programs to obtain a third sequencing result, and determining the target first application program pushed to the target user according to the third sequencing result.
15. The apparatus of claim 14, wherein the fifth determining unit comprises:
a fourth obtaining subunit, configured to obtain, according to the application list information of the target user, a type ranking of associated application programs corresponding to the target user;
and the third determining subunit is used for determining the association degree of each first application program and the target user according to the position of the application type of each first application program in the associated application program type sequence corresponding to the target user.
16. The apparatus according to claim 14, wherein the third computing unit is configured to perform, by a specific user, weighted summation after normalization on each application content index value of an ith first application, the association degree between the ith first application and the second application, and the association degree between the ith first application and the target user, to obtain a third score of the ith first application, where i is an integer taking a value from 1 to n, and n is the number of the first applications.
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