CN108322523B - Application recommendation method, server and mobile terminal - Google Patents

Application recommendation method, server and mobile terminal Download PDF

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Publication number
CN108322523B
CN108322523B CN201810052792.5A CN201810052792A CN108322523B CN 108322523 B CN108322523 B CN 108322523B CN 201810052792 A CN201810052792 A CN 201810052792A CN 108322523 B CN108322523 B CN 108322523B
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application
information
mobile terminal
recommended
server
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CN108322523A (en
Inventor
汤爱波
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Vivo Mobile Communication Co Ltd
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Vivo Mobile Communication Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/55—Push-based network services
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724—User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
    • H04M1/72406—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by software upgrading or downloading

Abstract

The invention discloses an application recommendation method, a server and a mobile terminal, wherein the method comprises the following steps: acquiring an application search request which is sent by a mobile terminal and carries user identity information; sending a recommended application list of an application search request to the mobile terminal according to the user identity information; and determining the selected candidate application in the recommended application list as a target application and sending the target application to the mobile terminal. And each candidate application in the recommended application list corresponds to respective detail information. When the server acquires the application search request sent by the mobile terminal, the server determines a corresponding personalized recommended application list according to the user identity information of the mobile terminal, each candidate in the recommended application list should correspond to respective detail information for the user to check, and the user can select the application required by the user through the detail information, so that the application recommendation and downloading accuracy is improved.

Description

Application recommendation method, server and mobile terminal
Technical Field
The invention relates to the technical field of communication, in particular to an application recommendation method, a server and a mobile terminal.
Background
With the continuous enrichment of internet information, various applications are increasing, and users can search and download applications through application stores. However, when a user searches for a certain type of application in an application store, a plurality of applications of the same type appear, the user cannot determine which application is needed by the user, the user may download some applications that are not needed by the user, and the applications are re-unloaded after the downloading is completed, so that the accuracy of application recommendation is poor.
Disclosure of Invention
The embodiment of the invention provides an application recommendation method, a server and a mobile terminal, and aims to solve the problem of poor application recommendation accuracy in the prior art.
In a first aspect, an embodiment of the present invention provides an application recommendation method, applied to a server, including:
acquiring an application search request which is sent by a mobile terminal and carries user identity information;
sending a recommended application list of an application search request to the mobile terminal according to the user identity information; each candidate application in the recommended application list corresponds to respective detail information, and the detail information comprises: statistical information related to the downloading condition of the candidate application and interface information related to the operation of the candidate application;
and determining the selected candidate application in the recommended application list as a target application and sending the target application to the mobile terminal.
In a second aspect, an embodiment of the present invention further provides a server, where the server includes:
the first acquisition module is used for acquiring an application search request which is sent by the mobile terminal and carries user identity information;
the first sending module is used for sending a recommended application list of the application search request to the mobile terminal according to the user identity information; each candidate application in the recommended application list corresponds to respective detail information, and the detail information comprises: statistical information related to the downloading condition of the candidate application and interface information related to the operation of the candidate application;
and the second sending module is used for determining the selected candidate application in the recommended application list as the target application and sending the target application to the mobile terminal.
In a third aspect, an embodiment of the present invention further provides a server, where the server includes a processor, a memory, and a computer program stored in the memory and operable on the processor, and when the processor executes the computer program, the steps of the application recommendation method described above are implemented.
In a fourth aspect, an embodiment of the present invention further provides an application recommendation method, applied to a mobile terminal, including:
sending an application search request carrying user identity information to a server;
receiving a recommended application list of an application search request determined by a server according to user identity information; each candidate application in the recommended application list corresponds to respective detail information, and the detail information comprises: statistical information related to the downloading condition of the candidate application and interface information related to the operation of the candidate application;
and selecting a target application in the recommended application list and downloading the target application.
In a fifth aspect, an embodiment of the present invention further provides a mobile terminal, including:
the first request module is used for sending an application search request carrying user identity information to the server;
the system comprises a first receiving module, a second receiving module and a third receiving module, wherein the first receiving module is used for receiving a recommended application list of an application search request determined by a server according to user identity information; each candidate application in the recommended application list corresponds to respective detail information, and the detail information comprises: statistical information related to the downloading condition of the candidate application and interface information related to the operation of the candidate application;
and the downloading module is used for selecting and downloading the target application in the recommended application list.
In a sixth aspect, an embodiment of the present invention further provides a mobile terminal, where the mobile terminal includes a processor, a memory, and a computer program stored on the memory and capable of running on the processor, and the processor implements the steps of the application recommendation method when executing the computer program.
In a seventh aspect, an embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the application recommendation method are implemented.
Therefore, when the server acquires the application search request sent by the mobile terminal, the server determines the corresponding personalized recommended application list according to the user identity information of the mobile terminal, each candidate in the recommended application list should correspond to respective detailed information for the user to check, and the user can select the application required by the user through the detailed information, so that the application recommendation and downloading accuracy is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.
Fig. 1 is a schematic flowchart illustrating a server-side application recommendation method according to an embodiment of the present invention;
FIG. 2 is a block diagram of a server according to an embodiment of the present invention;
FIG. 3 shows a block diagram of a server according to an embodiment of the invention;
fig. 4 is a flowchart illustrating a method for recommending a mobile terminal-side application according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a display interface of detail information of a candidate application in an embodiment of the present invention;
fig. 6 is a schematic block diagram of a mobile terminal according to an embodiment of the present invention;
fig. 7 shows a block diagram of a mobile terminal according to an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
As shown in fig. 1, an embodiment of the present invention provides an application recommendation method, which is applied to a server, and the method specifically includes:
step 101: and acquiring an application search request which is sent by the mobile terminal and carries user identity information.
The server refers to a background server of the application store, and the user identity information includes, but is not limited to, the following: a terminal ID number, a cell phone number, account information of an application store, account information of a social program, and the like. When the mobile terminal sends an application search request to a server of an application store, the application search request carries user identity information in addition to keyword information of a target application.
Step 102: and sending a recommended application list of the application search request to the mobile terminal according to the user identity information.
The server searches for similar users of the mobile terminal according to the user identity information in the application search request, determines a recommended application list of the mobile terminal according to the downloading conditions of the similar users, and sends the recommended application list to the mobile terminal. The recommended application list comprises at least two candidate applications, each candidate application in the recommended application list corresponds to respective detail information, and the detail information comprises: statistical information related to the download of the candidate application and interface information related to the operation of the candidate application. Wherein the statistical information comprises: downloading amount, rating rate, starting time distribution, and downloading user gender ratio and age ratio. The interface information is a silent screen-shot picture when the candidate application is started.
Step 103: and determining the selected candidate application in the recommended application list as a target application and sending the target application to the mobile terminal.
The server sends the recommended application list to the mobile terminal, the user can select a certain candidate application in the recommended application list to download, and the mobile terminal sends a downloading request to the server when acquiring touch operation of selecting the candidate application, so that the server determines the selected candidate application as a target application and sends the target application to the mobile terminal to finish downloading of the application.
Further, step 102 may be implemented with reference to the following, but is not limited to:
determining similar users with the similarity higher than a preset similarity threshold with the identity information of the users in a first mode; and acquiring user information of the historical downloading request application according to the request application corresponding to the application search request, generating a recommended application list of the application search request and sending the recommended application list to the mobile terminal.
The applications in the recommended application list are applications in which the number or proportion of similar users in the user information exceeds a preset threshold. The user identity information can be account information under various applications, the account information records personalized information of the age, sex, region, occupation and the like of the user, when the server receives the application search request, similar users can be searched according to the user identity information, and then a recommended application list of the application search request is generated according to the application of which the number or proportion of the similar users in the download amount of the application matched with the keywords in the application search request exceeds a preset threshold. That is to say, the candidate application in the recommended application list generated by the server is an application in which the number or proportion of similar users in the download amount of the application matched with the keyword in the application search request exceeds a preset threshold, so that the purpose of recommending the personalized candidate application for the mobile terminal can be achieved.
Determining a corresponding friend user according to the user identity information; and acquiring user information of the historical downloading request application according to the request application corresponding to the application search request, generating a recommended application list of the application search request and sending the recommended application list to the mobile terminal.
And the applications in the recommended application list are the applications of which the number or the proportion of the friend users in the user information exceeds a preset threshold. The user identity information can be account information under various applications, and a plurality of friends can be added under various account information, so that the server can determine friend users according to the user identity information, and generate a recommended application list of the application search request according to the application of which the number or proportion of the friend users in the download amount of the application matched with the keywords in the application search request exceeds a preset threshold. That is to say, the candidate application in the recommended application list generated by the server is the application in which the number or proportion of the friend users in the download amount of the application matched with the keyword in the application search request exceeds the preset threshold, so that the purpose of recommending the personalized candidate application for the mobile terminal can be achieved.
In addition, a personalized recommended application list requested by the application search request and with occupation, affiliated region and the like can be sent to the mobile terminal according to the user identity information.
Further, after step 102, the method further includes: acquiring detail request information sent by a mobile terminal; and according to the detail request information, sending the detail information associated with the specific candidate application to the mobile terminal. The detail request information is used for requesting detail information of a specific candidate application in the recommended application list, and the specific candidate application is one of the candidate applications in the recommended application list. And when the mobile terminal acquires a specific operation action on any candidate application in the recommended application list, the mobile terminal sends detail request information of the candidate application to the server.
Before the step that the server sends the detail information associated with the specific candidate application to the mobile terminal according to the detail request information, the method further comprises the following steps: and acquiring interface information which is sent by other mobile terminals and is related to the operation of the specific candidate application. The interface information is obtained by other mobile terminals through screen capturing and sending in the running process of the specific candidate application, and the other mobile terminals refer to terminals downloaded with the specific candidate application. That is to say, the mobile terminal may set a specific contextual model, and in the specific contextual model, the mobile terminal may report some behavior data to the server of the application store, and the server may obtain behavior habits of different users through big data embedding, for example, when using a certain application, it may perform a random silent screen capture at the background to report a specific situation that the user uses the application. The big data platform of the server performs summary analysis on the reported data to obtain detailed information of a certain application, for example: the method comprises the following steps of (1) enabling the male and female proportion of a user, the distribution proportion of people in the age group of the user, the good evaluation rate of the user, the number of used friends, the peak time period of the use of the friends, the use time of the friends and the like; and meanwhile, the pictures of the silent screen shot are identified, classified and stored in a classified manner.
Likewise, after the step of the server determining the selected candidate application in the recommended application list as the target application and sending the target application to the mobile terminal, the method further comprises the following steps: the method comprises the steps of obtaining target application interface information which is obtained by the mobile terminal through screen capturing and sent in the running process of a target application, namely after the mobile terminal downloads the target application, sending the use condition of the application to a server so that the server can provide detailed information for other mobile terminals which do not download the target application.
In the application recommendation method, when the server obtains the application search request sent by the mobile terminal, the server determines the corresponding personalized recommended application list according to the user identity information of the mobile terminal, each candidate in the recommended application list should correspond to respective detailed information for the user to check, and the user can select the application required by the user through the detailed information, so that the application recommendation and downloading accuracy is improved.
The above embodiments respectively describe in detail the application recommendation method in different scenarios, and the server corresponding to the application recommendation method will be further described with reference to fig. 2.
As shown in fig. 2, the server 200 according to the embodiment of the present invention can obtain an application search request carrying user identity information sent by a mobile terminal in the foregoing embodiment; sending a recommended application list of an application search request to the mobile terminal according to the user identity information; each candidate application in the recommended application list corresponds to respective detail information, and the detail information comprises: statistical information related to the downloading condition of the candidate application and interface information related to the operation of the candidate application; the details of the method for determining the selected candidate application in the recommended application list as the target application and sending the target application to the mobile terminal achieve the same effect, and the server 200 specifically includes the following functional modules:
a first obtaining module 210, configured to obtain an application search request carrying user identity information sent by a mobile terminal;
the first sending module 220 is configured to send a recommended application list of the application search request to the mobile terminal according to the user identity information; each candidate application in the recommended application list corresponds to respective detail information, and the detail information comprises: statistical information related to the downloading condition of the candidate application and interface information related to the operation of the candidate application;
and a second sending module 230, configured to determine the selected candidate application in the recommended application list as a target application and send the target application to the mobile terminal.
The first sending module 220 includes:
the first determining submodule is used for determining similar users with the similarity higher than a preset similarity threshold value with the identity information of the users;
the first sending submodule is used for acquiring user information of historical downloading request applications according to the request applications corresponding to the application searching requests, generating a recommended application list of the application searching requests and sending the recommended application list to the mobile terminal; the applications in the recommended application list are applications in which the number or proportion of similar users in the user information exceeds a preset threshold.
The first sending module 220 further includes:
the second determining submodule is used for determining a corresponding friend user according to the user identity information;
the second sending submodule is used for acquiring the user information of the historical downloading request application according to the request application corresponding to the application searching request, generating a recommended application list of the application searching request and sending the recommended application list to the mobile terminal; the applications in the recommended application list are applications in which the number or proportion of friend users in the user information exceeds a preset threshold.
Wherein, the server 200 further includes:
the second acquisition module is used for acquiring the detail request information sent by the mobile terminal; the detail request information is used for requesting the detail information of a specific candidate application in the recommended application list, and the specific candidate application is one of the candidate applications in the recommended application list;
and the third sending module is used for sending the detail information associated with the specific candidate application to the mobile terminal according to the detail request information.
Wherein, the server 200 further includes:
the third acquisition module is used for acquiring interface information which is sent by other mobile terminals and is related to the operation of the specific candidate application; and the interface information is shot and sent by other mobile terminals in the running process of the specific candidate application.
Wherein, the server 200 further includes:
and the fourth acquisition module is used for acquiring the target application interface information which is shot and sent by the mobile terminal in the running process of the target application.
It is worth pointing out that the server of the embodiment of the present invention corresponds to the above application recommendation method, and both the implementation manner and the achieved technical effect of the above method are applicable to the embodiment of the server. When the server acquires an application search request sent by the mobile terminal, a corresponding personalized recommended application list is determined according to user identity information of the mobile terminal, each candidate in the recommended application list should correspond to respective detailed information for a user to check, the user can select an application required by the user through the detailed information, and application recommendation and downloading accuracy is improved.
In order to better achieve the above object, an embodiment of the present invention further provides a server, which includes a processor, a memory, and a computer program stored in the memory and running on the processor, and when the processor executes the computer program, the steps in the application recommendation method described above are implemented. Embodiments of the present invention also provide a computer-readable storage medium, on which a computer program is stored, and when being executed by a processor, the computer program implements the steps of the application recommendation method as described above.
Specifically, the embodiment of the invention also provides a server. As shown in fig. 3, the server 300 includes: a processor 31, a memory 32 and a transceiver 33. The processor 31 is connected to the memory 32 to call the program in the memory 32 to perform the operations described in the above method embodiments.
The processor 31 may be a processor or a combination of processing elements, for example, one or more integrated circuits of the processor 31, such as: one or more microprocessors DSP, or one or more field programmable gate arrays FPGA, or the like. The storage element may be a memory or a combination of a plurality of storage elements.
The memory 32 may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory. The volatile Memory may be a Random Access Memory (RAM) which serves as an external cache. By way of example and not limitation, many forms of RAM are available, such as Static random access memory (Static RAM, SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (ddr Data Rate SDRAM), Enhanced SDRAM (ESDRAM), synchlronous DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The memory 32 described herein is intended to comprise, without being limited to, these and any other suitable types of memory.
Specifically, the server according to the embodiment of the present invention further includes: a computer program stored in the memory 32 and operable on the processor 31, the processor 31 calling the computer program in the memory 32 to perform the method performed by each module shown in fig. 2.
In particular, the computer program, when invoked by the processor 31, is operable to perform: acquiring an application search request which is sent by a mobile terminal and carries user identity information;
sending a recommended application list of an application search request to the mobile terminal according to the user identity information; each candidate application in the recommended application list corresponds to respective detail information, and the detail information comprises: statistical information related to the downloading condition of the candidate application and interface information related to the operation of the candidate application;
and determining the selected candidate application in the recommended application list as a target application and sending the target application to the mobile terminal.
In particular, the computer program, when invoked by the processor 31, is operable to perform: determining similar users with the similarity higher than a preset similarity threshold value with the identity information of the users;
acquiring user information of historical downloading request applications according to request applications corresponding to the application search requests, generating a recommended application list of the application search requests and sending the recommended application list to the mobile terminal; the applications in the recommended application list are applications in which the number or proportion of similar users in the user information exceeds a preset threshold.
In particular, the computer program, when invoked by the processor 31, is operable to perform: determining a corresponding friend user according to the user identity information;
acquiring user information of historical downloading request applications according to request applications corresponding to the application search requests, generating a recommended application list of the application search requests and sending the recommended application list to the mobile terminal; the applications in the recommended application list are applications in which the number or proportion of friend users in the user information exceeds a preset threshold.
In particular, the computer program, when invoked by the processor 31, is operable to perform: acquiring detail request information sent by a mobile terminal; the detail request information is used for requesting the detail information of a specific candidate application in the recommended application list, and the specific candidate application is one of the candidate applications in the recommended application list;
and according to the detail request information, sending the detail information associated with the specific candidate application to the mobile terminal.
In particular, the computer program, when invoked by the processor 31, is operable to perform: acquiring interface information which is sent by other mobile terminals and is related to the operation of a specific candidate application; and the interface information is shot and sent by other mobile terminals in the running process of the specific candidate application.
In particular, the computer program, when invoked by the processor 31, is operable to perform: and acquiring the screen capture and sent target application interface information of the mobile terminal in the running process of the target application.
Wherein the statistical information comprises: downloading amount, rating rate, starting time distribution, and downloading user gender ratio and age ratio.
According to the method and the device, when the application search request sent by the mobile terminal is obtained, the corresponding personalized recommended application list is determined according to the user identity information of the mobile terminal, each candidate in the recommended application list should correspond to respective detail information for the user to check, the user can select the application required by the user through the detail information, and the application recommendation and downloading accuracy is improved.
The application recommendation method in the embodiment of the present invention is described above from the server side, and the following embodiment will further describe the application recommendation method in the mobile terminal side with reference to the drawings.
As shown in fig. 4, the application recommendation method according to the embodiment of the present invention is applied to a mobile terminal, and specifically includes the following steps:
step 401: and sending an application search request carrying user identity information to a server.
The server refers to a background server of the application store, and the user identity information includes, but is not limited to, the following: a terminal ID number, a cell phone number, account information of an application store, account information of a social program, and the like.
Step 402: and receiving a recommended application list of the application search request determined by the server according to the user identity information.
The recommended application list comprises at least two candidate applications, each candidate application in the recommended application list corresponds to respective detail information, and the detail information comprises: statistical information related to the download of the candidate application and interface information related to the operation of the candidate application. Wherein the statistical information comprises: downloading amount, rating rate, starting time distribution, and downloading user gender ratio and age ratio. The interface information is a silent screen-shot picture when the candidate application is started.
Step 403: and determining and downloading the target application in the recommended application list.
The user can select a certain candidate application in the recommended application list to download, the mobile terminal sends a downloading request to the server when acquiring the touch operation of selecting the candidate application, and the server determines the selected candidate application as a target application according to the downloading request and sends the target application to the mobile terminal to finish downloading the application.
Also included after step 402 is: sending detail request information for requesting detail information of a specific candidate application in the recommended application list to a server; receiving detail information which is sent by a server and is associated with a specific candidate application; and displaying detail information associated with the specific candidate application through a preset interface. Wherein the specific candidate application is one of the candidate applications in the recommended application list. Specifically, when acquiring a specific operation action on any candidate application in the recommended application list, the mobile terminal sends detail request information of the candidate application to the server. As shown in fig. 5, for example, the mobile terminal sends an application search request carrying a search keyword, and the server sends a recommended application list according to the application search request, as shown in the left diagram in fig. 5, a function button is displayed on the right side of each candidate application in the recommended application list, and the button text is "detailed information". After clicking the 'detailed information' on the right side of a certain application by a user, the mobile terminal sends detailed request information for requesting detailed information of a specific candidate application (such as a beauty camera) in a recommended application list to a server; receiving detail information which is sent by a server and is associated with a specific candidate application; and displaying the detail information associated with the specific candidate application through a preset interface, as shown in the left two of fig. 5, when the user clicks the "detail information" on the right side of the beauty camera, the user can see the detail information associated with the beauty camera, that is, the preset interface displays statistical information such as user rating, number of friends used, male and female ratio, peak use period, crowd distribution and the like associated with the beauty camera, and a preview function button is used for controlling the display of the interface information associated with the beauty camera. When the user clicks the preview function button, as shown in the right diagram in fig. 5, the mobile terminal enters a picture carousel interface, the displayed picture is interface information associated with the beauty camera and sent by the server, and the interface information is a picture of the beauty camera used by the user and reported by other mobile terminals in background silent screen capture collected by the server. Specifically, the server collects the use hearts, screenshots, effect photos and the like related to the application shared by the social friends associated with the mobile terminal in the social application, and displays the use hearts, screenshots, effect photos and the like on a recommendation interface of the application. Furthermore, the user can select the use condition of a specific friend to view, and the contents can be obtained by performing keyword search, image matching and the like on the information shared by the friends.
Likewise, after step 403, the method further includes: intercepting target application interface information related to the operation of a target application in the running process of the target application; and reporting the target application interface information to a server. That is, after the mobile terminal downloads the target application, the service condition of the application can be reported to the server, so that the server can provide detailed information for other mobile terminals which do not download the target application.
In the application recommendation method, the mobile terminal sends the application search request to the server, the server determines the corresponding personalized recommended application list according to the user identity information in the application search request and feeds the personalized recommended application list back to the mobile terminal, each candidate in the recommended application list should correspond to respective detail information for the user to check, the user can select the application required by the user through the detail information displayed by the mobile terminal, and the application recommendation accuracy and the downloading accuracy are improved.
The above embodiments describe the application recommendation method in different scenarios, and the following further describes a mobile terminal corresponding to the application recommendation method with reference to the accompanying drawings.
As shown in fig. 6, the mobile device 600 according to the embodiment of the present invention can implement sending an application search request carrying user identity information to a server in the foregoing embodiment; receiving a recommended application list of an application search request determined by a server according to user identity information; each candidate application in the recommended application list corresponds to respective detail information, and the detail information comprises: statistical information related to the downloading condition of the candidate application and interface information related to the operation of the candidate application; determining details of a target application in the recommended application list and downloading the target application, and achieving the same effect, the mobile terminal 600 specifically includes the following functional modules:
a first request module 610, configured to send an application search request carrying user identity information to a server;
a first receiving module 620, configured to receive a recommended application list of an application search request determined by a server according to user identity information; each candidate application in the recommended application list corresponds to respective detail information, and the detail information comprises: statistical information related to the downloading condition of the candidate application and interface information related to the operation of the candidate application;
and a downloading module 630, configured to determine a target application in the recommended application list and download the target application.
Wherein, the mobile terminal 600 further includes:
the second request module is used for sending detail request information for requesting the detail information of the specific candidate application in the recommended application list to the server; wherein the specific candidate application is one of the candidate applications in the recommended application list;
the second receiving module is used for receiving the detail information which is sent by the server and is associated with the specific candidate application;
and the display module is used for displaying the detail information associated with the specific candidate application through a preset interface.
Wherein, the mobile terminal 600 further includes:
the intercepting module is used for intercepting target application interface information related to the operation of the target application in the running process of the target application;
and the reporting module is used for reporting the target application interface information to the server.
The mobile terminal sends the application search request to the server, the server determines a corresponding personalized recommended application list according to the user identity information in the application search request and feeds the personalized recommended application list back to the mobile terminal, each candidate in the recommended application list should correspond to respective detail information for the user to check, the user can select the application required by the user through the detail information displayed by the mobile terminal, and the application recommendation and downloading accuracy is improved.
Further, fig. 7 is a schematic diagram of a hardware structure of a mobile terminal for implementing various embodiments of the present invention, where the mobile terminal 70 includes, but is not limited to: radio frequency unit 71, network module 72, audio output unit 73, input unit 74, sensor 75, display unit 76, user input unit 77, interface unit 78, memory 79, processor 710, and power supply 711. Those skilled in the art will appreciate that the mobile terminal architecture shown in fig. 7 is not intended to be limiting of mobile terminals, and that a mobile terminal may include more or fewer components than shown, or some components may be combined, or a different arrangement of components. In the embodiment of the present invention, the mobile terminal includes, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted terminal, a wearable device, a pedometer, and the like.
The radio frequency unit 71 is configured to send an application search request carrying user identity information to a server; receiving a recommended application list of the application search request determined by the server according to the user identity information; wherein each candidate application in the recommended application list corresponds to respective detail information, and the detail information includes: statistical information related to the downloading condition of the candidate application and interface information related to the operation of the candidate application;
and a processor 710, configured to determine a target application in the recommended application list and download the target application.
The mobile terminal sends the application search request to the server, the server determines a corresponding personalized recommended application list according to the user identity information in the application search request and feeds the personalized recommended application list back to the mobile terminal, each candidate in the recommended application list should correspond to respective detail information for the user to check, the user can select the application required by the user through the detail information displayed by the mobile terminal, and the application recommendation and downloading accuracy is improved.
It should be understood that, in the embodiment of the present invention, the radio frequency unit 71 may be used for receiving and sending signals during a message sending and receiving process or a call process, and specifically, the processor 710 is configured to receive downlink data from a base station and process the received downlink data; in addition, the uplink data is transmitted to the base station. Typically, the radio frequency unit 71 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 71 can also communicate with a network and other devices through a wireless communication system.
The mobile terminal provides wireless broadband internet access to the user via the network module 72, such as assisting the user in sending and receiving e-mails, browsing web pages, and accessing streaming media.
The audio output unit 73 may convert audio data received by the radio frequency unit 71 or the network module 72 or stored in the memory 79 into an audio signal and output as sound. Also, the audio output unit 73 may also provide audio output related to a specific function performed by the mobile terminal 70 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 73 includes a speaker, a buzzer, a receiver, and the like.
The input unit 74 is for receiving an audio or video signal. The input Unit 74 may include a Graphics Processing Unit (GPU) 741 and a microphone 742, and the Graphics processor 741 processes image data of a still picture or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 76. The image frames processed by the graphic processor 741 may be stored in the memory 79 (or other storage medium) or transmitted via the radio frequency unit 71 or the network module 72. The microphone 742 may receive sounds and may be capable of processing such sounds into audio data. The processed audio data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 71 in case of the phone call mode.
The mobile terminal 70 also includes at least one sensor 75, such as a light sensor, motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor that adjusts the brightness of the display panel 761 according to the brightness of ambient light, and a proximity sensor that turns off the display panel 761 and/or a backlight when the mobile terminal 70 moves to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally three axes), detect the magnitude and direction of gravity when stationary, and can be used to identify the posture of the mobile terminal (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), and vibration identification related functions (such as pedometer, tapping); the sensors 75 may also include a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, an infrared sensor, etc., which are not described in detail herein.
The display unit 76 is used to display information input by the user or information provided to the user. The Display unit 76 may include a Display panel 761, and the Display panel 761 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.
The user input unit 77 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the mobile terminal. Specifically, the user input unit 77 includes a touch panel 771 and other input devices 772. The touch panel 771, also referred to as a touch screen, may collect touch operations by a user on or near the touch panel 771 (e.g., operations by a user on or near the touch panel 771 using a finger, stylus, or any suitable object or attachment). The touch panel 771 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 710, receives a command from the processor 710, and executes the command. In addition, the touch panel 771 can be implemented by various types such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 771, the user input unit 77 may also include other input devices 772. In particular, other input devices 772 may include, but are not limited to, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which are not described in detail herein.
Further, the touch panel 771 may be overlaid on the display panel 761, and when the touch panel 771 detects a touch operation thereon or nearby, the touch operation is transmitted to the processor 710 to determine the type of the touch event, and then the processor 710 provides a corresponding visual output on the display panel 761 according to the type of the touch event. Although the touch panel 771 and the display panel 761 are shown as two separate components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 771 and the display panel 761 may be integrated to implement the input and output functions of the mobile terminal, and is not limited herein.
The interface unit 78 is an interface for connecting an external device to the mobile terminal 70. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 78 may be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within the mobile terminal 70 or may be used to transmit data between the mobile terminal 70 and external devices.
The memory 79 may be used to store software programs as well as various data. The memory 79 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 79 may include high speed random access memory and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The processor 710 is a control center of the mobile terminal, connects various parts of the entire mobile terminal using various interfaces and lines, and performs various functions of the mobile terminal and processes data by operating or executing software programs and/or modules stored in the memory 79 and calling data stored in the memory 79, thereby integrally monitoring the mobile terminal. Processor 710 may include one or more processing units; preferably, the processor 710 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 710.
The mobile terminal 70 may also include a power supply 711 (e.g., a battery) for powering the various components, and the power supply 711 may be logically coupled to the processor 710 via a power management system that may be configured to manage charging, discharging, and power consumption.
In addition, the mobile terminal 70 includes some functional modules that are not shown, and thus, the detailed description thereof is omitted.
Preferably, an embodiment of the present invention further provides a mobile terminal, which includes a processor 710, a memory 79, and a computer program stored in the memory 79 and capable of running on the processor 710, where the computer program is executed by the processor 110 to implement each process of the foregoing application recommendation method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not described here again.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the above-mentioned embodiment of the application recommendation method, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention or a part thereof, which essentially contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer or a server) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.
While the preferred embodiments of the present invention have been described, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the following claims.

Claims (14)

1. An application recommendation method applied to a server is characterized by comprising the following steps:
acquiring an application search request which is sent by a mobile terminal and carries user identity information;
sending a recommended application list of the application search request to the mobile terminal according to the user identity information; wherein each candidate application in the recommended application list corresponds to respective detail information, and the detail information includes: statistical information related to the downloading condition of the candidate application and interface information related to the operation of the candidate application; the interface information is pictures of the candidate application used by the user and reported by other mobile terminals collected by the server in background silent screen capture;
determining the selected candidate application in the recommended application list as a target application and sending the target application to the mobile terminal;
the step of sending the recommended application list of the application search request to the mobile terminal according to the user identity information includes:
determining a corresponding friend user according to the user identity information;
according to the request application corresponding to the application search request, obtaining user information of the request application downloaded historically, generating a recommended application list of the application search request and sending the recommended application list to the mobile terminal; the applications in the recommended application list are applications in which the number or proportion of the friend users in the user information exceeds a preset threshold;
after the step of determining the selected candidate application in the recommended application list as the target application and sending the target application to the mobile terminal, the method further includes:
and acquiring the target application interface information which is captured and sent by the mobile terminal in the running process of the target application.
2. The application recommendation method according to claim 1, wherein the step of sending the recommended application list of the application search request to the mobile terminal according to the user identity information comprises:
determining similar users with the similarity higher than a preset similarity threshold value with the user identity information;
according to the request application corresponding to the application search request, obtaining user information of the request application downloaded historically, generating a recommended application list of the application search request and sending the recommended application list to the mobile terminal; and the applications in the recommended application list are the applications of which the number or the proportion of the similar users in the user information exceeds a preset threshold.
3. The application recommendation method according to claim 1, after the step of sending the recommended application list of the application requested by the application search request to the mobile terminal according to the user identity information, further comprising:
acquiring detail request information sent by the mobile terminal; the detail request information is used for requesting the detail information of a specific candidate application in the recommended application list, and the specific candidate application is one of the candidate applications in the recommended application list;
and sending the detail information associated with the specific candidate application to the mobile terminal according to the detail request information.
4. The application recommendation method according to claim 3, wherein said step of sending the detail information associated with the specific candidate application to the mobile terminal according to the detail request information further comprises:
acquiring interface information which is sent by other mobile terminals and is related to the operation of the specific candidate application; and the interface information is obtained by the other mobile terminals through screen capturing and sending in the running process of the specific candidate application.
5. A server, comprising:
the first acquisition module is used for acquiring an application search request which is sent by the mobile terminal and carries user identity information;
the first sending module is used for sending a recommended application list of the application search request to the mobile terminal according to the user identity information; wherein each candidate application in the recommended application list corresponds to respective detail information, and the detail information includes: statistical information related to the downloading condition of the candidate application and interface information related to the operation of the candidate application; the interface information is pictures of the candidate application used by the user and reported by other mobile terminals collected by the server in background silent screen capture;
the second sending module is used for determining the selected candidate application in the recommended application list as a target application and sending the target application to the mobile terminal;
the first transmitting module further comprises:
the second determining submodule is used for determining a corresponding friend user according to the user identity information;
the second sending submodule is used for obtaining user information of historical downloading of the request application according to the request application corresponding to the application searching request, generating a recommended application list of the application searching request and sending the recommended application list to the mobile terminal; the applications in the recommended application list are applications in which the number or proportion of the friend users in the user information exceeds a preset threshold;
the server further comprises:
the third acquisition module is used for acquiring interface information which is sent by other mobile terminals and is related to the operation of the specific candidate application; and the interface information is obtained by the other mobile terminals through screen capturing and sending in the running process of the specific candidate application.
6. The server according to claim 5, wherein the first sending module comprises:
the first determining submodule is used for determining similar users with the similarity higher than a preset similarity threshold value with the user identity information;
the first sending submodule is used for obtaining user information of historical downloading of the request application according to the request application corresponding to the application searching request, generating a recommended application list of the application searching request and sending the recommended application list to the mobile terminal; and the applications in the recommended application list are the applications of which the number or the proportion of the similar users in the user information exceeds a preset threshold.
7. The server according to claim 5, further comprising:
the second acquisition module is used for acquiring the detail request information sent by the mobile terminal; the detail request information is used for requesting the detail information of a specific candidate application in the recommended application list, and the specific candidate application is one of the candidate applications in the recommended application list;
a third sending module, configured to send, according to the detail request information, the detail information associated with the specific candidate application to the mobile terminal.
8. The server according to claim 5, further comprising:
and the fourth acquisition module is used for acquiring the target application interface information which is captured and sent by the mobile terminal in the running process of the target application.
9. A server, characterized in that the server comprises a processor, a memory and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the application recommendation method according to any one of claims 1 to 4 when executing the computer program.
10. An application recommendation method applied to a mobile terminal is characterized by comprising the following steps:
sending an application search request carrying user identity information to a server;
receiving a recommended application list of the application search request determined by the server according to the user identity information; wherein each candidate application in the recommended application list corresponds to respective detail information, and the detail information includes: statistical information related to the downloading condition of the candidate application and interface information related to the operation of the candidate application; the interface information is pictures of the candidate application used by the user and reported by other mobile terminals collected by the server in background silent screen capture;
determining and downloading a target application in the recommended application list;
the recommended application list of the application search request determined by the server according to the user identity information comprises:
determining a corresponding friend user according to the user identity information;
according to the request application corresponding to the application search request, obtaining user information of the request application downloaded historically, generating a recommended application list of the application search request and sending the recommended application list to the mobile terminal; the applications in the recommended application list are applications in which the number or proportion of the friend users in the user information exceeds a preset threshold;
after the step of determining the target application in the recommended application list and downloading, the method further includes:
intercepting target application interface information related to the operation of the target application in the running process of the target application;
and reporting the target application interface information to the server.
11. The application recommendation method according to claim 10, wherein after the step of receiving the recommended application list of the application search request determined by the server according to the user identity information, the method further comprises:
sending detail request information for requesting detail information of a specific candidate application in the recommended application list to a server; wherein the specific candidate application is one of the candidate applications in the recommended application list;
receiving detail information associated with the specific candidate application sent by the server;
displaying detail information associated with the specific candidate application through a preset interface.
12. A mobile terminal, comprising:
the first request module is used for sending an application search request carrying user identity information to the server;
the first receiving module is used for receiving a recommended application list of the application search request determined by the server according to the user identity information; wherein each candidate application in the recommended application list corresponds to respective detail information, and the detail information includes: statistical information related to the downloading condition of the candidate application and interface information related to the operation of the candidate application; the interface information is pictures of the candidate application used by the user and reported by other mobile terminals collected by the server in background silent screen capture;
the downloading module is used for determining and downloading the target application in the recommended application list;
the recommended application list of the application search request determined by the server according to the user identity information comprises:
determining a corresponding friend user according to the user identity information;
according to the request application corresponding to the application search request, obtaining user information of the request application downloaded historically, generating a recommended application list of the application search request and sending the recommended application list to the mobile terminal; the applications in the recommended application list are applications in which the number or proportion of the friend users in the user information exceeds a preset threshold;
the mobile terminal further includes:
the intercepting module is used for intercepting target application interface information related to the operation of the target application in the running process of the target application;
and the reporting module is used for reporting the target application interface information to the server.
13. The mobile terminal of claim 12, wherein the mobile terminal further comprises:
the second request module is used for sending detail request information for requesting the detail information of the specific candidate application in the recommended application list to the server; wherein the specific candidate application is one of the candidate applications in the recommended application list;
a second receiving module, configured to receive detail information associated with the specific candidate application sent by the server;
and the display module is used for displaying the detail information associated with the specific candidate application through a preset interface.
14. A mobile terminal, characterized in that the mobile terminal comprises a processor, a memory, a computer program stored on the memory and executable on the processor, the processor implementing the steps of the application recommendation method according to any one of claims 10 to 11 when executing the computer program.
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