CN112702375A - Information pushing method and device, computer equipment and storage medium - Google Patents

Information pushing method and device, computer equipment and storage medium Download PDF

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Publication number
CN112702375A
CN112702375A CN201911013290.2A CN201911013290A CN112702375A CN 112702375 A CN112702375 A CN 112702375A CN 201911013290 A CN201911013290 A CN 201911013290A CN 112702375 A CN112702375 A CN 112702375A
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China
Prior art keywords
target
information
application
data
sub
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Granted
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CN201911013290.2A
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Chinese (zh)
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CN112702375B (en
Inventor
刘骏健
陈榕涛
黄东庆
邵帅
林森
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Tencent Technology Shenzhen Co Ltd
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Tencent Technology Shenzhen Co Ltd
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Priority to CN201911013290.2A priority Critical patent/CN112702375B/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/55Push-based network services
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/445Program loading or initiating
    • G06F9/44521Dynamic linking or loading; Link editing at or after load time, e.g. Java class loading
    • G06F9/44526Plug-ins; Add-ons
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/451Execution arrangements for user interfaces
    • 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
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • 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
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0631Item recommendations
    • 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/12Hotels or restaurants
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/535Tracking the activity of the user

Abstract

The application discloses an information pushing method, and belongs to the technical field of computers. The method is performed by a server, the method comprising: receiving a first information request sent by a terminal, wherein the first information request is used for requesting to display target information in a first application interface, the first application interface is an application interface of a sub-application program, and the sub-application program is an application program running depending on a parent application program; acquiring target information through a target model, wherein the target model is obtained by training according to target data, and the target data is behavior data collected in a first application interface by a target plug-in included in a sub-application program; and pushing the target information to the terminal. According to the method and the system, the target plug-in is added into the sub-application program, so that the intelligent recommendation function can be realized without the need of butt joint of the sub-application program developed by a merchant and a third-party service providing the intelligent recommendation function, and the development efficiency of the sub-application program is improved.

Description

Information pushing method and device, computer equipment and storage medium
Technical Field
The present application relates to the field of computer technologies, and in particular, to an information pushing method and apparatus, a computer device, and a storage medium.
Background
In daily life, the scenes of using the terminal by people are more and more, and it is more and more common to use the terminal to check, consult and the like products, for example, a user can open a related Application (APP), and display information of some products in an Application interface of the APP.
In the related art, more and more merchants interface their own servers with APPs, and develop sub-applications (e.g., applets) that run depending on the APPs, so that the APPs can display application interfaces of the sub-applications developed by the merchants, and display goods or services of the merchants in the application interfaces. In order to enable the contents displayed in the application interface to better accord with the interests and hobbies of the user, the merchant can also access a third-party service providing an intelligent recommendation function, so that when the application interface is opened by the user, commodities and the like which accord with the interests and hobbies of the user can be displayed to the user through the intelligent recommendation function.
When the merchant uses the third-party service providing the intelligent recommendation function, a back-end interface needs to be developed to interface with the third-party service, so that development of the sub-application program is long in time consumption, and development efficiency is affected.
Disclosure of Invention
The embodiment of the application provides an information pushing method, an information pushing device, computer equipment and a storage medium, so that the time consumption of developing a sub-application program by a merchant can be reduced, and the development efficiency of the sub-application program is improved. The technical scheme is as follows:
in one aspect, an embodiment of the present application provides an information pushing method, where the method is executed by a server, and the method includes:
receiving a first information request sent by a terminal, wherein the first information request is used for requesting target information to be displayed in a first application interface, the first application interface is an application interface of a sub-application program, the sub-application program is an application program running depending on a parent application program, and a user account is logged in the parent application program;
processing a user image of a user corresponding to the user account through a target model to obtain the target information, wherein the target model is obtained by training according to target data, and the target data is behavior data collected in the first application interface by a target plug-in included in the sub-application; the target data comprises an image sample and behavior data which is executed in the first application interface by a user and corresponds to the image sample;
and pushing the target information to the terminal.
In one aspect, an embodiment of the present application further provides an information pushing apparatus, where the apparatus is used in a server, and the apparatus includes:
the terminal comprises a request receiving module, a first information request receiving module and a second information request receiving module, wherein the first information request is used for requesting to display target information in a first application interface, the first application interface is an application interface of a sub-application program, the sub-application program is an application program running depending on a parent application program, and a user account is logged in the parent application program;
the information obtaining module is used for processing a user image of a user corresponding to the user account through a target model to obtain the target information, the target model is obtained through training according to target data, and the target data is behavior data collected in the first application interface by a target plug-in included in the sub-application; the target data comprises an image sample and behavior data which is executed in the first application interface by a user and corresponds to the image sample;
and the information pushing module is used for pushing the target information to the terminal.
Optionally, the target plug-in includes a custom reporting component, where the custom reporting component includes an declarative reporting code, and the apparatus further includes:
and the data receiving module is used for receiving the behavior data reported by the terminal through the target plug-in an audible reporting mode.
Optionally, the apparatus further comprises:
the data storage module is used for storing the behavior data into the target data;
and the model acquisition module is used for carrying out model training according to the target data to acquire the target model when the data volume of the target data reaches a preset threshold value.
Optionally, the first application interface is an interface corresponding to a target merchant, and the data storage module includes: the device comprises a query unit and a storage unit;
the query unit is used for querying the target merchant in a white list;
the storage unit is configured to store the behavior data into the target data when the target merchant is queried in the white list.
The data receiving module includes: the device comprises a data receiving unit, an authentication unit and a data acquisition unit;
the data receiving unit is used for receiving the data to be authenticated, which is reported by the terminal in an audible reporting mode;
the authentication unit is used for authenticating the data to be authenticated through HostSign;
and the data acquisition unit is used for acquiring the data to be authenticated as the behavior data reported by the terminal through the target plug-in an audible reporting mode if the data to be authenticated passes the authentication.
Optionally, the target plug-in further includes a push interface;
the information pushing module is used for pushing the target information to the terminal through the pushing interface in the target plug-in.
Optionally, the target data includes: exposure time of the target information, click operation of the target information, target parameters of the target information, keywords of the target information, preference information of the target information, types of the target information and life cycles of target components of the target information.
In one aspect, an embodiment of the present application further provides a computer device, where the computer device includes a processor and a memory, where the memory stores at least one instruction, at least one program, a code set, or a set of instructions, and the at least one instruction, the at least one program, the code set, or the set of instructions is loaded and executed by the processor to implement the information pushing method described above.
In one aspect, this embodiment of the present application further provides a computer-readable storage medium, where at least one instruction, at least one program, a code set, or a set of instructions is stored in the storage medium, and the at least one instruction, the at least one program, the code set, or the set of instructions is loaded and executed by a processor to implement the information pushing method described above.
The technical scheme provided by the embodiment of the application at least comprises the following beneficial effects:
receiving a first information request sent by a terminal, wherein the first information request is used for requesting target information to be displayed in a first application interface, the first application interface is an application interface of a sub-application program, the sub-application program is an application program running depending on a parent application program, and a user account is logged in the parent application program; processing a user image of a user corresponding to a user account through a target model to obtain target information, wherein the target model is obtained by training according to target data, the target data is behavior data of a target plug-in included in a sub application program and collected in a first application interface, and the target data includes a portrait sample and behavior data of the user corresponding to the portrait sample and executed in the first application interface; and pushing the target information to the terminal. According to the method and the device, the target plug-in can be added into the sub-application program, the target plug-in is used for acquiring behavior data of the user in the first application interface, and the target model is trained, so that when the information is pushed to the terminal, the target information is pushed according to the target model obtained through training, the sub-application program developed by the merchant can realize the intelligent recommendation function without being in butt joint with a third-party service providing the intelligent recommendation function, and the development efficiency of the sub-application program is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a block diagram illustrating an exemplary push information system architecture according to an exemplary embodiment of the present application;
fig. 2 is a flowchart of a method for pushing information according to an exemplary embodiment of the present application;
fig. 3 is a flowchart of a method for pushing information according to an exemplary embodiment of the present application;
FIGS. 4-5 are diagrams of a process for presenting a first application interface according to an exemplary embodiment of the present application;
FIG. 6 is a schematic illustration of an add-on interface of a target plug-in according to an exemplary embodiment of the present application;
FIG. 7 is an interface schematic of an authorization interface according to an exemplary embodiment of the present application;
fig. 8 is a flowchart of a method for pushing information according to an exemplary embodiment of the present application;
fig. 9 is a schematic structural diagram of an information pushing method according to an exemplary embodiment of the present application;
fig. 10 is a block diagram illustrating a structure of an information pushing apparatus according to an exemplary embodiment of the present application;
FIG. 11 is a block diagram illustrating a computer device according to an exemplary embodiment of the present application;
fig. 12 is a schematic structural diagram of a computer device according to an exemplary embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The scheme provided by the application can be used for the user to look over information such as commodity information, product information, news information through the terminal, APP in the terminal recommends the application scene who accords with the good information of user interest to the user through intelligent recommendation function, and when the user opens the APP that can show information, information propelling movement is carried out according to user interest to the server of APP, improves convenience etc. that the user used. For ease of understanding, the following first presents a brief summary of some of the terms and application scenarios to which this application relates.
1) Plug-in component
Plug-in (Plug-in, also known as addin, add-in, addon or add-on, also known as Plug-in) is a program written out by an application program interface following a certain specification. The plug-in can call a function library or data provided by the original pure system and run under a system platform (possibly supporting multiple platforms simultaneously) specified by an application program. For example, after installing a relevant plug-in a web browser (Internet Explorer, IE), other browsers may also directly call the plug-in to process files of the same type. The plug-in positioning is to develop a program for realizing functions which are not possessed by the original pure system platform and the original application software platform. At present, many applications have plug-ins, and the types of plug-ins are increasing.
2) UI component (User Interface Module, User Interface component)
A component is an assembly of one or more code segments that may fulfill their respective functions as one or more separate parts. The user interface component is meant to comprise one or more code segments with respective functions, and finally complete the presentation of the user interface.
3) Intelligent recommendation
The method is characterized in that information which is interesting to a user is obtained by utilizing a user portrait, and the information is recommended to the user.
4) Sounding type buried point
And adding a statement logic statement reported by data into the UI component displayed by the view file.
5) Command type embedded point
And inserting statement logic statements reported by data into the program codes.
6) User account
Refers to an account number applied by an organization or an individual on a public platform. The above-mentioned organizations or individuals generally refer to entities with a high degree of interest to users, such as merchants, businesses, governments, media, celebrities, and the like. Generally, such user accounts are referred to as public numbers.
With the development of the field of computers, people have been very common in daily life to use the APP for entertainment or work, and users can purchase goods, view information, make an appointment with merchants and other behaviors in the process of using the APP. In the following, for example, a user displays a commodity in an APP application interface displayed by a terminal, the application scenario related to the present application is simply introduced.
Referring to fig. 1, a schematic structural diagram of a push information system structure according to an exemplary embodiment of the present application is shown. As shown in fig. 1, a terminal 110 and a server cluster 120 are included.
Alternatively, the terminal 110 may be a mobile phone, a tablet computer, an e-book reader, an MP3(Moving Picture Experts Group Audio Layer III, mpeg compression standard Audio Layer 3) player, an MP4(Moving Picture Experts Group Audio Layer IV, mpeg compression standard Audio Layer 4) player, a laptop computer, a desktop computer, and the like.
Alternatively, the parent application and the child application may be installed or run in the terminal 110. The parent application program may be any one of an instant messaging program, a social program, a payment program, an electronic shopping program, a system management program, a security management program, a virus killing program, a network disk program, a file manager program, and a desktop optimization program. The parent application in the terminal 110 may be a predetermined application provided by a parent application server in the server cluster 120. The parent application in the terminal 110 is exemplified as an instant messenger. A child application is a program that runs in dependence on a parent application and may also be referred to as an "applet". Alternatively, the sub-application may be provided by the second server 130. Optionally, the parent application may have an account login function. The user can register and log in his account in a predetermined application.
The server cluster 120 may be any of a number of servers, virtual cloud storage, or cloud computing centers. Server cluster 120 is used to provide background services for parent applications and child applications on terminal 110. The server cluster 120 has data storage capabilities. Optionally, the server cluster 120 comprises: parent application server 122, child application server 124. Wherein:
the parent application server 122 is used to provide a background service for the parent application in the terminal 110. Illustratively, when the parent application is an instant messenger, the parent application server 122 provides instant messenger services between the plurality of terminals 110.
The sub-application server 124 is used to provide background services for sub-applications in the terminal 110. Illustratively, the sub-application server 124 may provide information query service about goods, goods transaction record management service, and other management service.
The present embodiment is illustrated with the server cluster 120 including two servers. However, the number of servers included in the server cluster 120 may also be more or less than two, for example, the server cluster 120 is implemented by multiple virtual machines on one server, or implemented by tens of servers, which is not limited in this embodiment.
Alternatively, the terminal 110 and the server cluster 120 may be connected via a communication network. Optionally, the communication network is a wired network or a wireless network.
Optionally, the wireless network or wired network described above uses standard communication techniques and/or protocols. The Network is typically the Internet, but may be any Network including, but not limited to, a Local Area Network (LAN), a Metropolitan Area Network (MAN), a Wide Area Network (WAN), a mobile, wireline or wireless Network, a private Network, or any combination of virtual private networks. In some embodiments, data exchanged over a network is represented using techniques and/or formats including Hypertext Mark-up Language (HTML), Extensible Markup Language (XML), and the like. All or some of the links may also be encrypted using conventional encryption techniques such as Secure Socket Layer (SSL), Transport Layer Security (TLS), Virtual Private Network (VPN), Internet Protocol Security (IPsec). In other embodiments, custom and/or dedicated data communication techniques may also be used in place of, or in addition to, the data communication techniques described above.
Optionally, the terminal 110 may run a sub-application, and the user may check commodity information and the like through the sub-application, for example, the sub-application is an application that can provide takeout services, and the user may view gourmets provided by various merchants through an application interface of the sub-application, or the sub-application is an application that can provide consulting services, and the user may consult information and the like provided by various merchants through an application interface of the sub-application, which is not limited in this application.
To improve the efficiency of displaying information through sub-applications in a terminal, please refer to fig. 2, which shows a flowchart of a method for pushing information according to an exemplary embodiment of the present application. The method can be applied to the information pushing system shown in fig. 1, and is executed by a parent application server included in a server cluster in the system, as shown in fig. 2, and the information pushing method can include the following steps.
Step 201, receiving a first information request sent by a terminal.
The first information request is used for requesting target information to be displayed in a first application interface, the first application interface is an application interface of a sub-application program, the sub-application program is an application program which runs by depending on a main application program, and a user account is logged in the main application program.
Optionally, when the sub-application is running, the user may open application interfaces of too many sub-applications, and the first application interface may be one of the sub-applications of a certain merchant. Accordingly, the target information may be commodity information of commodities of a single merchant in the first application interface.
Step 202, processing the user image of the user corresponding to the user account through the target model to obtain target information.
The target model is obtained by training according to target data, and the target data is behavior data collected in a first application interface by a target plug-in included in the sub-application; the target data includes a portrait sample and behavior data corresponding to the portrait sample executed by a user in the first application interface.
The image sample can be a user image corresponding to a user account in the parent application, and the user image can be obtained by a server of the parent application through the user account. That is, for example, when the parent application is an instant messenger, the server of the parent application may depict a user representation according to the daily behavior habits of the user and store the user representation in the server of the parent application.
Step 203, pushing the target information to the terminal.
Optionally, when the server of the parent application obtains the target information according to the target model, the target information may be sent to the server of the child application, and then the server of the child application performs rendering display, thereby completing pushing of the target information.
In summary, a first information request sent by a terminal is received, where the first information request is used to request that target information is displayed in a first application interface, the first application interface is an application interface of a sub-application, the sub-application is an application running depending on a parent application, and a user account is logged in the parent application; processing a user image of a user corresponding to a user account through a target model to obtain target information, wherein the target model is obtained by training according to target data, the target data is behavior data of a target plug-in included in a sub application program and collected in a first application interface, and the target data includes a portrait sample and behavior data of the user corresponding to the portrait sample and executed in the first application interface; and pushing the target information to the terminal. According to the method and the device, the target plug-in can be added into the sub-application program, the target plug-in is used for acquiring behavior data of the user in the first application interface, and the target model is trained, so that when the information is pushed to the terminal, the target information is pushed according to the target model obtained through training, the sub-application program developed by the merchant can realize the intelligent recommendation function without being in butt joint with a third-party service providing the intelligent recommendation function, and the development efficiency of the sub-application program is improved.
Taking the example that the target information displayed in the first application interface is the commodity information provided by each merchant, please refer to fig. 3, which shows a flowchart of a method for pushing information according to an exemplary embodiment of the present application. The method can be applied to the information pushing system shown in fig. 1, and is executed by a parent application server included in a server cluster in the system, as shown in fig. 3, and the information pushing method can include the following steps.
Step 301, receiving a first information request sent by a terminal.
The first information request is used for requesting target information to be displayed in a first application interface, the first application interface is an application interface of a sub-application program, the sub-application program is an application program which runs by depending on a main application program, and a user account is logged in the main application program.
The terminal is provided with a parent application program, and a user can open the parent application program and log in a registered account in the parent application program so as to display a program interface of the parent application program. Optionally, an entry of the sub-application, for example, an icon of the sub-application, a website of the sub-application, a function control of the sub-application, and the like, may be provided in the program interface of the parent application. Alternatively, the sub-application is a program developed based on HTML (HyperText Markup Language) 5.
Optionally, the user may display a program interface of the parent application in the terminal, where the program interface may display an entry of at least one sub-application, and when the terminal receives a start signal (for example, the start signal is a signal triggered when a click operation is performed on the entry of the sub-application) triggered by the user at the entry of a certain sub-application, the terminal may trigger to display an application interface of the sub-application, and the terminal may correspondingly display the application interface of the sub-application.
Optionally, when the terminal displays the application interface of the sub-application program of a certain merchant, the generated request for displaying the application interface of the merchant is the first information request, and the corresponding terminal may send the generated first information request to the server.
Please refer to fig. 4 to 5, which are schematic diagrams illustrating a process of presenting a first application interface according to an exemplary embodiment of the present application. As shown in fig. 4, the application interface 400 includes sub-application icons 401 corresponding to each business, and a user can click any one of the sub-application icons to enter the application interface corresponding to the business. For example, a user clicks a merchant icon corresponding to "merchant one" in fig. 4, and may enter an application interface as shown in fig. 5, where the application interface shown in fig. 5 is a first application interface involved in the present application. As shown in fig. 5, the first application interface 500 includes a merchant name 501, various commodity information 502, and an execution control 503, and a user can view the various commodity information of the first merchant in the first application interface 500 shown in fig. 5. Optionally, the user may select, purchase, and the like a certain product by executing the control 503, which is not limited in this embodiment of the application. In the processes of fig. 4 to 5, the terminal may generate a first information request, and the target information requested by the first information request may be the commodity information of the merchant shown in fig. 5.
Step 302, processing the user image of the user corresponding to the user account through the target model to obtain target information.
The target model is obtained by training according to target data, and the target data is behavior data collected in a first application interface by a target plug-in included in the sub-application; the target data includes a portrait sample and behavior data corresponding to the portrait sample executed by a user in the first application interface.
Optionally, a user image of a user corresponding to the user account may be stored in the server of the parent application, the first information request may carry the user account in the parent application, and after receiving the first information request, the server of the parent application may obtain the user image of the user according to the user account, and input the user image into the target model, so as to obtain target information conforming to the user image. In this embodiment, since the target model is obtained by training target data, the target data may be obtained as follows.
After the first application interface is displayed in the terminal, the server can acquire the user image of the user according to the user account in the first information request, the target plug-in component contained in the sub-application program can collect behavior data in the first application interface, the terminal can correspondingly record the user image and the collected behavior data to obtain target data containing the user image and the behavior data, executed by the user corresponding to the user image, in the first application interface, and the data can be the image sample and the behavior data, executed by the user corresponding to the image sample, in the first application interface.
Optionally, the behavior data may be at least one of exposure time of the target information, click operation of the target information, target parameters of the target information, keywords of the target information, preference information of the target information, type of the target information, and life cycle of a target component of the target information. For example, the exposure time for the first commodity in the first interface is 5 minutes, the terminal may report the 5 minutes and the first commodity to the server, and the server records the reported data and the user account. Or, if the preferential information of the first commodity is '5 discount preferential' in the first interface, the terminal may report the preferential information and the first commodity to the server, and the server records the reported data and the user account. When the terminal displays the first application interface, the target plug-in can acquire data of each target information of the merchant, and the acquired data are all used as behavior data of the user and uploaded to the server.
Taking the example that the first application interface of the sub-application is a menu interface of a restaurant, the first application interface may include various dishes, each of the dishes is a commodity, and the user may purchase, make an appointment, view and the like in the first application interface, at this time, the behavior data acquired by the target plug-in may be data of the user purchasing a certain dish in the first application interface, or SKU (Stock Keeping Unit) information of the certain dish when the user views the certain dish, or data of the appointment of the certain dish, and the like. This is not limited by the examples of the present application.
Alternatively, the target plug-in included in the sub-application may be actively added in the sub-application by the merchant. Referring to fig. 6, a schematic diagram of an add interface of a target plug-in according to an exemplary embodiment of the present application is shown. As shown in fig. 6, a target plug-in 601 is included, adding a control 602. Optionally, any merchant with its own background server may actively add a target plug-in to the sub-application program through its own server, so that the target plug-in may collect behavior data of a user on each commodity when the commodity is displayed by the sub-application program.
In a possible implementation manner, when the application interface of the sub application is displayed in the terminal, the terminal may further display an authorization interface, so as to prompt a user whether to allow certain operations that may be subsequently performed on the sub application (for example, collecting behavior data through a target plug-in according to the embodiment of the present application). Referring to fig. 7, an interface diagram of an authorization interface according to an exemplary embodiment of the present application is shown. As shown in fig. 7, an authorization control 701, a prompt 702, and a cancel control 703 are included. The user may click the authorization control 701 to authorize the sub-application to perform the operation in the prompt. Optionally, if the user clicks the cancel control 703, the sub-application does not enable the target plug-in to collect the behavior data of the user when the terminal displays the first application interface.
Optionally, the authorization interface may pop up when the user clicks to enter an application interface of a certain merchant, or may pop up in an application interface of a sub-application program after the user triggers the start signal. This is not limited by the examples of the present application. After receiving an authorization signal sent by the terminal, the sub-application program can acquire behavior data through the target plug-in the process of displaying the first application interface by the terminal.
Optionally, the added target plug-in may include a custom reporting component, where the custom reporting component includes an explicit reporting code, and the server of the parent application may receive target data that is reported by the terminal through the target plug-in an explicit reporting manner. That is, the target plug-in may encapsulate the custom reporting component, and standardize the data type, reporting time point, and the like of the behavior data collected by the target plug-in through the custom reporting component. For example, when the actual single commodity is displayed by writing in the declarative reporting code set in the custom reporting component, the user behavior data reporting is also executed. That is, when the user clicks a single commodity in the first application interface for display, the target plug-in may also obtain behavior data of the user executed on the single commodity in the process of displaying the single commodity.
Optionally, the declarative reporting code provided in the target plug-in related to the embodiment of the application may be as follows:
Figure BDA0002244838780000121
optionally, the embodiment of the application may further specify the time for reporting the data each time in the custom reporting component, for example, after the user performs a certain operation on a certain commodity, the target plugin acquires the behavior data, and in order to avoid the terminal missing the reporting of the behavior data at certain time points, the custom reporting component in the target plugin may specify that the behavior data acquired in the whole period is uniformly reported at periodic time after the first application interface is opened. In a possible implementation manner, corresponding to each UI component displayed in the first application interface, the target plug-in may directly declare the reported data content on the UI component, thereby decoupling the embedded point code and the interaction and service logic between the terminal and the server, and ensuring that the report is performed during the life cycle of each UI component. Optionally, the target plugin may further include a buried reporting code in addition to the declarative reporting code, that is, the target plugin may also report the behavior data in a command reporting manner, which is not limited in this embodiment of the application.
Optionally, the behavior data that the server receiving terminal reports through the target plug-in an audible reporting mode may further include the following steps, step one, the server receiving terminal receives data to be authenticated that the terminal reports through the audible reporting mode; step two, authenticating the data to be authenticated through HostSign (signature verification); and step three, if the data to be authenticated passes the authentication, acquiring the data to be authenticated as data reported by the terminal through the target plug-in an audible reporting mode. The data to be authenticated may be behavior data reported by the terminal in an declarative reporting manner, which is currently received by the server. In a possible implementation manner, the sub-application may include a plurality of plug-ins, and the plurality of plug-ins may acquire data in the first application interface and send the data to the server, and when the server needs to perform authentication and verification on each data, behavior data of the target plug-in is determined from the data. For example, the server may receive data that is reported by the terminal through the first plug-in and the second plug-in respectively in an explicit reporting manner, and in order to know which of the data received by the server is data of the target plug-in (the first plug-in), the server may further perform authentication check on behavior data that is reported by the receiving terminal through the target plug-in the explicit reporting manner, that is, perform authentication check on data to be authenticated through HostSign, where the data of the first plug-in may pass the authentication check, and the server may acquire the data of the first plug-in from the received multiple data.
And after receiving the target data reported by the target plug-in, the server can store the target data, and when the data volume of the target data reaches a preset threshold value, model training is carried out on the target data to obtain a target model. Optionally, the server may receive target data reported by different terminals in the first application interface, and correspondingly, the server may record the behavior data together with the user account of the parent application program in each terminal to obtain behavior data corresponding to each user account and the user account, and when the data amount recorded by the server reaches a preset threshold (for example, 10 ten thousand pieces of behavior data), the terminal may perform model training on the target data to obtain a target model. Optionally, in the target data used for model training, the terminal may use the user portrait corresponding to the user account and the behavior data of the user account as input of the model training, and use commodity information of each merchant corresponding to the behavior data as output of the model. After the server receives the first information request sent by the terminal, if the merchant in the first application interface is the merchant with the target plug-in added in the sub-application program, the server can obtain the user portrait of the user according to the user account in the first information request, and input the user portrait into the trained target model, so that each commodity information, namely target information, of the merchant is obtained.
In a possible implementation manner, when the data amount of the behavior data stored in the server has not reached the preset threshold, the server may generate the target information, which is requested to be displayed in the first application interface by the first information request, according to a default model. Alternatively, the default model may be preset by the merchant and the server.
Optionally, after the target model is obtained through the training, the server may update the target model according to the received new user behavior data. That is, the target plug-in may still continue to acquire the user behavior data in the first application interface and report to the server, and the server may acquire all the received behavior data according to a fixed period and update the target model. Alternatively, the fixed period may be preset by a developer or an operation and maintenance person.
Optionally, when the first application interface is an interface corresponding to a target merchant, the server further needs to query the target merchant in a white list when storing the behavior data into the target data, and when the target merchant is queried in the white list, the behavior data is stored into the target data. That is, the server may store a merchant list of each merchant to which the target plug-in has been added in the sub-application, and when the target merchant in the first application interface is a merchant in the white list, it indicates whether the merchant corresponding to the merchant information in the first application interface is a merchant to which the target plug-in is added, the terminal may store the collected behavior data into the target data, and when the target merchant in the first application interface is not a merchant in the white list, it indicates that the merchant corresponding to the merchant information in the first application interface does not add the target plug-in the sub-application, and the terminal does not need to store the collected behavior data into the target data.
And 303, pushing the target information to the terminal through a pushing interface in the target plug-in.
Optionally, the target plug-in may further include a push interface related to the recommendation. Optionally, the push interface may be a js (javascript) interface. The server can push the target information to the terminal through the JS interface.
In summary, a first information request sent by a terminal is received, where the first information request is used to request that target information is displayed in a first application interface, the first application interface is an application interface of a sub-application, the sub-application is an application running depending on a parent application, and a user account is logged in the parent application; processing a user image of a user corresponding to a user account through a target model to obtain target information, wherein the target model is obtained by training according to target data, the target data is behavior data of a target plug-in included in a sub application program and collected in a first application interface, and the target data includes a portrait sample and behavior data of the user corresponding to the portrait sample and executed in the first application interface; and pushing the target information to the terminal. According to the method and the device, the target plug-in can be added into the sub-application program, the target plug-in is used for acquiring behavior data of the user in the first application interface, and the target model is trained, so that when the information is pushed to the terminal, the target information is pushed according to the target model obtained through training, the sub-application program developed by the merchant can realize the intelligent recommendation function without being in butt joint with a third-party service providing the intelligent recommendation function, and the development efficiency of the sub-application program is improved.
In addition, the information pushing scheme provided by the embodiment of the application can also avoid that most merchants build own recommendation systems from scratch, and provides an out-of-box and ready-to-use intelligent recommendation scheme. By adding the declarative reporting codes in the target plug-in, a large number of reporting codes contained in the logic codes can be reduced, and the reporting efficiency of the behavior data is improved.
Please refer to fig. 8, which illustrates a flowchart of an information pushing method according to an embodiment of the present application. The method can be applied to the information push system shown in fig. 1 and executed by the terminal in the system, as shown in fig. 8, and the information push method can include the following steps.
Step 801, a first information request is sent to a server.
Optionally, the first information request may refer to the description in the embodiment of fig. 3, and is not described herein again.
And step 802, receiving the target information pushed by the server.
Optionally, the terminal may receive the pushed target information through a JS interface in the target plug-in.
Step 803, the first application interface is displayed.
Optionally, the terminal displays the first application interface in the display screen, and displays the target information according to a display form of a merchant, which is not limited in the present application.
In summary, according to the method and the device, the target plug-in can be added into the sub-application program, the target plug-in is used for acquiring the behavior data of the user in the first application interface, and the target model is trained, so that when the information is pushed to the terminal, the target information is pushed according to the trained target model, the sub-application program developed by the merchant can realize the intelligent recommendation function without being in butt joint with a third-party service providing the intelligent recommendation function, and the development efficiency of the sub-application program is improved.
Please refer to fig. 9, which illustrates an architecture diagram of an information pushing method according to an exemplary embodiment of the present application. As shown in fig. 9, a sub-application module 901 and a server module 902 are included.
The sub-application module 901 comprises a target plug-in 903, and the target plug-in 903 further comprises a custom component 904 and a JS interface 905. The sub application module 901 may display an application interface of the sub application, and when the first application interface is displayed, the target plug-in 903 may collect behavior data in the first application interface through the customization component 904 and send the behavior data to the server module 902.
The server module 902 further includes a database 906, a default model 907, and a target model 908. The server module 902 may receive the behavior data reported by the target plug-in 903, store the behavior data in the database 906, and obtain the target model 908 through model training when the data amount of the behavior data in the database 906 reaches a predetermined threshold. When the target model 908 is obtained, the server module may push the target message according to the recommendation capability of the target model when pushing information to the sub-application module.
Optionally, the default model 907 may obtain behavior data in the database 906, and push the commodity information to the sub-application module according to the recommendation capability of the default model itself. And the message pushed by the target model or the default model can be pushed to the sub-application module through the JS interface of the target plug-in.
The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.
Fig. 10 is a block diagram illustrating a structure of an information pushing apparatus according to an exemplary embodiment of the present application. The information pushing apparatus may be used in a server to perform all or part of the steps performed by the server in the method shown in the corresponding embodiment of fig. 2 or fig. 3, and the information pushing apparatus may include:
a request receiving module 1001, configured to receive a first information request sent by a terminal, where the first information request is used to request that target information be displayed in a first application interface, the first application interface is an application interface of a sub-application, the sub-application is an application running depending on a parent application, and a user account is logged in the parent application;
an information obtaining module 1002, configured to process a user image of a user corresponding to the user account through a target model to obtain the target information, where the target model is obtained through training according to target data, and the target data is behavior data collected in the first application interface by a target plug-in included in the sub application program; the target data comprises an image sample and behavior data which is executed in the first application interface by a user and corresponds to the image sample;
an information pushing module 1003, configured to push the target information to the terminal.
Optionally, the target plug-in includes a custom reporting component, where the custom reporting component includes an declarative reporting code, and the apparatus further includes:
and the data receiving module is used for receiving the behavior data reported by the terminal through the target plug-in an audible reporting mode.
Optionally, the apparatus further comprises:
the data storage module is used for storing the behavior data into the target data;
and the model acquisition module is used for carrying out model training according to the target data to acquire the target model when the data volume of the target data reaches a preset threshold value.
Optionally, the first application interface is an interface corresponding to a target merchant, and the data storage module includes: the device comprises a query unit and a storage unit;
the query unit is used for querying the target merchant in a white list;
the storage unit is configured to store the behavior data into the target data when the target merchant is queried in the white list.
The data receiving module 1002 includes: the device comprises a data receiving unit, an authentication unit and a data acquisition unit;
the data receiving unit is used for receiving the data to be authenticated, which is reported by the terminal in an audible reporting mode;
the authentication unit is used for authenticating the data to be authenticated through HostSign;
and the data acquisition unit is used for acquiring the data to be authenticated as the behavior data reported by the terminal through the target plug-in an audible reporting mode if the data to be authenticated passes the authentication.
Optionally, the target plug-in further includes a push interface;
the information pushing module 1003 is configured to push the target information to the terminal through the pushing interface in the target plug-in.
Optionally, the target data includes: exposure time of the target information, click operation of the target information, target parameters of the target information, keywords of the target information, preference information of the target information, types of the target information and life cycles of target components of the target information.
In summary, a first information request sent by a terminal is received, where the first information request is used to request that target information is displayed in a first application interface, the first application interface is an application interface of a sub-application, the sub-application is an application running depending on a parent application, and a user account is logged in the parent application; processing a user image of a user corresponding to a user account through a target model to obtain target information, wherein the target model is obtained by training according to target data, the target data is behavior data of a target plug-in included in a sub application program and collected in a first application interface, and the target data includes a portrait sample and behavior data of the user corresponding to the portrait sample and executed in the first application interface; and pushing the target information to the terminal. According to the method and the device, the target plug-in can be added into the sub-application program, the target plug-in is used for acquiring behavior data of the user in the first application interface, and the target model is trained, so that when the information is pushed to the terminal, the target information is pushed according to the target model obtained through training, the sub-application program developed by the merchant can realize the intelligent recommendation function without being in butt joint with a third-party service providing the intelligent recommendation function, and the development efficiency of the sub-application program is improved.
It should be noted that: in the device provided in the above embodiment, when updating the account resource, only the division of the above functional modules is illustrated, and in practical applications, the above function allocation may be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the above described functions. In addition, the apparatus provided in the above embodiment and the method embodiment of the information pushing method belong to the same concept, and specific implementation processes thereof are detailed in the method embodiment and are not described herein again.
Fig. 11 is a block diagram illustrating a configuration of a computer device 1100 according to an exemplary embodiment of the present application. The computer device 1100 may be a user terminal, such as a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III, motion video Experts compression standard Audio Layer 3), an MP4 player (Moving Picture Experts Group Audio Layer IV, motion video Experts compression standard Audio Layer 4), a laptop computer, or a desktop computer. Computer device 1100 may also be referred to by other names such as user equipment, portable terminals, laptop terminals, desktop terminals, and the like.
Generally, the computer device 1100 includes: a processor 1101 and a memory 1102.
Processor 1101 may include one or more processing cores, such as a 4-core processor, an 8-core processor, or the like. The processor 1101 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 1101 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 1101 may be integrated with a GPU (Graphics Processing Unit) that is responsible for rendering and drawing the content that the display screen needs to display. In some embodiments, the processor 1101 may further include an AI (Artificial Intelligence) processor for processing computing operations related to machine learning.
Memory 1102 may include one or more computer-readable storage media, which may be non-transitory. Memory 1102 can also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 1102 is used to store at least one instruction for execution by processor 1101 to implement the information push methods provided by the method embodiments of the present application.
In some embodiments, the computer device 1100 may also optionally include: a peripheral interface 1103 and at least one peripheral. The processor 1101, memory 1102 and peripheral interface 1103 may be connected by a bus or signal lines. Various peripheral devices may be connected to the peripheral interface 1103 by buses, signal lines, or circuit boards. Specifically, the peripheral device includes: at least one of radio frequency circuitry 1104, touch display screen 1105, camera 1106, audio circuitry 1107, positioning component 1108, and power supply 1109.
The peripheral interface 1103 may be used to connect at least one peripheral associated with I/O (Input/Output) to the processor 1101 and the memory 1102. In some embodiments, the processor 1101, memory 1102, and peripheral interface 1103 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 1101, the memory 1102 and the peripheral device interface 1103 may be implemented on separate chips or circuit boards, which is not limited by this embodiment.
The Radio Frequency circuit 1104 is used to receive and transmit RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuit 1104 communicates with communication networks and other communication devices via electromagnetic signals. The radio frequency circuit 1104 converts an electric signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electric signal. Optionally, the radio frequency circuit 1104 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuit 1104 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: the world wide web, metropolitan area networks, intranets, generations of mobile communication networks (2G, 3G, 4G, and 5G), Wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the rf circuit 1104 may further include NFC (Near Field Communication) related circuits, which are not limited in this application.
The display screen 1105 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 1105 is a touch display screen, the display screen 1105 also has the ability to capture touch signals on or over the surface of the display screen 1105. The touch signal may be input to the processor 1101 as a control signal for processing. At this point, the display screen 1105 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display screen 1105 may be one, providing the front panel of the computer device 1100; in other embodiments, the display screens 1105 may be at least two, each disposed on a different surface of the computer device 1100 or in a folded design; in still other embodiments, the display 1105 may be a flexible display disposed on a curved surface or on a folded surface of the computer device 1100. Even further, the display screen 1105 may be arranged in a non-rectangular irregular pattern, i.e., a shaped screen. The Display screen 1105 may be made of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), and the like.
Camera assembly 1106 is used to capture images or video. Optionally, camera assembly 1106 includes a front camera and a rear camera. Generally, a front camera is disposed at a front panel of the terminal, and a rear camera is disposed at a rear surface of the terminal. In some embodiments, the number of the rear cameras is at least two, and each rear camera is any one of a main camera, a depth-of-field camera, a wide-angle camera and a telephoto camera, so that the main camera and the depth-of-field camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize panoramic shooting and VR (Virtual Reality) shooting functions or other fusion shooting functions. In some embodiments, camera assembly 1106 may also include a flash. The flash lamp can be a monochrome temperature flash lamp or a bicolor temperature flash lamp. The double-color-temperature flash lamp is a combination of a warm-light flash lamp and a cold-light flash lamp, and can be used for light compensation at different color temperatures.
The audio circuitry 1107 may include a microphone and a speaker. The microphone is used for collecting sound waves of a user and the environment, converting the sound waves into electric signals, and inputting the electric signals to the processor 1101 for processing or inputting the electric signals to the radio frequency circuit 1104 to achieve voice communication. The microphones may be multiple and placed at different locations on the computer device 1100 for stereo sound acquisition or noise reduction purposes. The microphone may also be an array microphone or an omni-directional pick-up microphone. The speaker is used to convert electrical signals from the processor 1101 or the radio frequency circuit 1104 into sound waves. The loudspeaker can be a traditional film loudspeaker or a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, the speaker can be used for purposes such as converting an electric signal into a sound wave audible to a human being, or converting an electric signal into a sound wave inaudible to a human being to measure a distance. In some embodiments, the audio circuitry 1107 may also include a headphone jack.
The Location component 1108 is used to locate the current geographic Location of the computer device 1100 for navigation or LBS (Location Based Service). The Positioning component 1108 may be a Positioning component based on the Global Positioning System (GPS) in the united states, the beidou System in china, the Global Navigation Satellite System (GLONASS) in russia, or the galileo System in europe.
The power supply 1109 is used to provide power to the various components within the computer device 1100. The power supply 1109 may be alternating current, direct current, disposable or rechargeable. When the power supply 1109 includes a rechargeable battery, the rechargeable battery may be a wired rechargeable battery or a wireless rechargeable battery. The wired rechargeable battery is a battery charged through a wired line, and the wireless rechargeable battery is a battery charged through a wireless coil. The rechargeable battery may also be used to support fast charge technology.
In some embodiments, the computer device 1100 also includes one or more sensors 1110. The one or more sensors 1110 include, but are not limited to: acceleration sensor 1111, gyro sensor 1112, pressure sensor 1113, fingerprint sensor 1114, optical sensor 1115, and proximity sensor 1116.
The acceleration sensor 1111 can detect the magnitude of acceleration in three coordinate axes of a coordinate system established with the computer apparatus 1100. For example, the acceleration sensor 1111 may be configured to detect components of the gravitational acceleration in three coordinate axes. The processor 1101 may control the touch display screen 1105 to display a user interface in a landscape view or a portrait view according to the gravitational acceleration signal collected by the acceleration sensor 1111. The acceleration sensor 1111 may also be used for acquisition of motion data of a game or a user.
The gyro sensor 1112 may detect a body direction and a rotation angle of the computer device 1100, and the gyro sensor 1112 may cooperate with the acceleration sensor 1111 to acquire a 3D motion of the user on the computer device 1100. From the data collected by gyroscope sensor 1112, processor 1101 may implement the following functions: motion sensing (such as changing the UI according to a user's tilting operation), image stabilization at the time of photographing, game control, and inertial navigation.
The pressure sensors 1113 may be disposed on the side bezel of the computer device 1100 and/or on the lower layer of the touch display screen 1105. When the pressure sensor 1113 is disposed on the side frame of the computer device 1100, the holding signal of the user to the computer device 1100 can be detected, and the processor 1101 performs left-right hand recognition or shortcut operation according to the holding signal collected by the pressure sensor 1113. When the pressure sensor 1113 is disposed at the lower layer of the touch display screen 1105, the processor 1101 controls the operability control on the UI interface according to the pressure operation of the user on the touch display screen 1105. The operability control comprises at least one of a button control, a scroll bar control, an icon control and a menu control.
The fingerprint sensor 1114 is configured to collect a fingerprint of the user, and the processor 1101 identifies the user according to the fingerprint collected by the fingerprint sensor 1114, or the fingerprint sensor 1114 identifies the user according to the collected fingerprint. Upon recognizing that the user's identity is a trusted identity, the user is authorized by the processor 1101 to perform relevant sensitive operations including unlocking the screen, viewing encrypted information, downloading software, paying for and changing settings, etc. The fingerprint sensor 1114 may be disposed on the front, back, or side of the computer device 1100. When a physical key or vendor Logo is provided on the computer device 1100, the fingerprint sensor 1114 may be integrated with the physical key or vendor Logo.
Optical sensor 1115 is used to collect ambient light intensity. In one embodiment, the processor 1101 may control the display brightness of the touch display screen 1105 based on the ambient light intensity collected by the optical sensor 1115. Specifically, when the ambient light intensity is high, the display brightness of the touch display screen 1105 is increased; when the ambient light intensity is low, the display brightness of the touch display screen 1105 is turned down. In another embodiment, processor 1101 may also dynamically adjust the shooting parameters of camera assembly 1106 based on the ambient light intensity collected by optical sensor 1115.
The proximity sensor 1116, also referred to as a distance sensor, is typically disposed on a front panel of the computer device 1100. The proximity sensor 1116 is used to capture the distance between the user and the front of the computer device 1100. In one embodiment, the touch display screen 1105 is controlled by the processor 1101 to switch from a bright screen state to a dark screen state when the proximity sensor 1116 detects that the distance between the user and the front face of the computer device 1100 is gradually decreasing; when the proximity sensor 1116 detects that the distance between the user and the front face of the computer device 1100 becomes progressively larger, the touch display screen 1105 is controlled by the processor 1101 to switch from a breath-screen state to a light-screen state.
Those skilled in the art will appreciate that the configuration illustrated in FIG. 11 does not constitute a limitation of the computer device 1100, and may include more or fewer components than those illustrated, or may combine certain components, or may employ a different arrangement of components.
Fig. 12 is a schematic structural diagram of a computer device according to an exemplary embodiment of the present application. The computer apparatus 1200 includes a Central Processing Unit (CPU) 1201, a system Memory 1204 including a Random Access Memory (RAM) 1202 and a Read Only Memory (ROM) 1203, and a system bus 1205 connecting the system Memory 1204 and the CPU 1201. The computer device 1200 also includes a basic Input/Output System (I/O) 1206 for facilitating information transfer between devices within the computer, and a mass storage device 1207 for storing an operating System 1212, application programs 1213, and other program modules 1214.
The basic input/output system 1206 includes a display 1208 for displaying information and an input device 1209, such as a mouse, keyboard, etc., for a user to input information. Wherein the display 1208 and input device 1209 are connected to the central processing unit 1201 through an input-output controller 1210 coupled to the system bus 1205. The basic input/output system 1206 may also include an input/output controller 1210 for receiving and processing input from a number of other devices, such as a keyboard, mouse, or electronic stylus. Similarly, input-output controller 1210 also provides output to a display screen, a printer, or other type of output device.
The mass storage device 1207 is connected to the central processing unit 1201 through a mass storage controller (not shown) connected to the system bus 1205. The mass storage device 1207 and its associated computer-readable media provide non-volatile storage for the computer device 1200. That is, the mass storage device 1207 may include a computer-readable medium (not shown) such as a hard disk or CD-ROM drive.
The computer readable media may include computer storage media and communication media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes RAM, ROM, EPROM (Erasable Programmable Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), flash Memory or other solid state Memory technology, CD-ROM (Compact Disc Read-Only Memory), DVD (Digital Video Disc), or other optical, magnetic, tape, magnetic, or other magnetic storage devices. Of course, those skilled in the art will appreciate that the computer storage media is not limited to the foregoing. The system memory 1204 and mass storage device 1207 described above may be collectively referred to as memory.
The computer device 1200 may be connected to the internet or other network devices through a network interface unit 1211 connected to the system bus 1205.
The memory further includes one or more programs, the one or more programs are stored in the memory, and the central processing unit 1201 implements all or part of the steps executed by the server in the methods provided by the above embodiments of the present application by executing the one or more programs.
In an exemplary embodiment, a non-transitory computer readable storage medium comprising instructions, such as a memory comprising computer programs (instructions), executable by a processor of a computer device to perform all or part of the steps of the methods shown in the various embodiments of the present application, is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims (10)

1. An information pushing method, wherein the method is executed by a server, and the method comprises:
receiving a first information request sent by a terminal, wherein the first information request is used for requesting target information to be displayed in a first application interface, the first application interface is an application interface of a sub-application program, the sub-application program is an application program running depending on a parent application program, and a user account is logged in the parent application program;
processing a user image of a user corresponding to the user account through a target model to obtain the target information, wherein the target model is obtained by training according to target data, and the target data is behavior data collected in the first application interface by a target plug-in included in the sub-application; the target data comprises an image sample and behavior data which is executed in the first application interface by a user and corresponds to the image sample;
and pushing the target information to the terminal.
2. The method of claim 1, wherein the target plug-in includes a custom reporting component, and wherein the custom reporting component includes an declarative reporting code, the method further comprising:
and receiving the behavior data reported by the terminal through the target plug-in by adopting an audible reporting mode.
3. The method of claim 2, further comprising:
storing the behavior data into the target data;
and when the data volume of the target data reaches a preset threshold value, performing model training according to the target data to obtain the target model.
4. The method of claim 3, wherein the first application interface is an interface corresponding to a target merchant, and wherein storing the behavior data into the target data comprises:
querying the target merchant in a white list;
and when the target merchant is inquired in the white list, storing the behavior data into the target data.
5. The method according to claim 2, wherein the receiving the behavior data that is reported by the terminal through the target plug-in an declarative reporting manner includes:
receiving data to be authenticated reported by the terminal in an audible reporting mode;
authenticating the data to be authenticated through HostSign;
and if the data to be authenticated passes the authentication, acquiring the data to be authenticated as the behavior data reported by the terminal through the target plug-in an audible reporting mode.
6. The method of claim 1, wherein the target plug-in further comprises a push interface;
the pushing the target information to the terminal includes:
and pushing the target information to the terminal through the pushing interface in the target plug-in.
7. The method of any of claims 1 to 6, wherein the behavioral data comprises: exposure time of the target information, click operation of the target information, target parameters of the target information, keywords of the target information, preference information of the target information, types of the target information and life cycles of target components of the target information.
8. An information pushing apparatus, wherein the apparatus is used in a server, the apparatus comprising:
the terminal comprises a request receiving module, a first information request receiving module and a second information request receiving module, wherein the first information request is used for requesting to display target information in a first application interface, the first application interface is an application interface of a sub-application program, the sub-application program is an application program running depending on a parent application program, and a user account is logged in the parent application program;
the information obtaining module is used for processing a user image of a user corresponding to the user account through a target model to obtain the target information, the target model is obtained through training according to target data, and the target data is behavior data collected in the first application interface by a target plug-in included in the sub-application; the target data comprises an image sample and behavior data which is executed in the first application interface by a user and corresponds to the image sample;
and the information pushing module is used for pushing the target information to the terminal.
9. A computer device comprising a processor and a memory, wherein at least one instruction, at least one program, a set of codes, or a set of instructions is stored in the memory, and the at least one instruction, the at least one program, the set of codes, or the set of instructions is loaded and executed by the processor to implement the information pushing method according to any one of claims 1 to 7.
10. A computer-readable storage medium, in which at least one instruction, at least one program, a set of codes, or a set of instructions is stored, which is loaded and executed by a processor to implement the information pushing method according to any one of claims 1 to 7.
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