CN104123360A - Application recommendation data acquisition method, device and system and electronic device - Google Patents
Application recommendation data acquisition method, device and system and electronic device Download PDFInfo
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- CN104123360A CN104123360A CN201410345631.7A CN201410345631A CN104123360A CN 104123360 A CN104123360 A CN 104123360A CN 201410345631 A CN201410345631 A CN 201410345631A CN 104123360 A CN104123360 A CN 104123360A
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/60—Information retrieval; Database structures therefor; File system structures therefor of audio data
- G06F16/63—Querying
- G06F16/635—Filtering based on additional data, e.g. user or group profiles
- G06F16/637—Administration of user profiles, e.g. generation, initialization, adaptation or distribution
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Abstract
An embodiment of the invention provides an application recommendation data acquisition method, device and system and an electronic device. The application recommendation data acquisition method comprises the steps of acquiring user's history operation data of a first application, wherein the user's history operation data include user's behavior data and corresponding behavior object data; determining target behavior data and target behavior object data from the user's history operation data; sending an operation request to an application server corresponding to a second application according to the target behavior data and the target behavior object data, wherein the second application and the first application belong to the same type and have different contents. By means of the application recommendation data acquisition method, device and system and the electronic device, the application recommendation data of the second application different from the first application can be acquired, the problem that the application recommendation data of different applications cannot be acquired in the prior art is solved, and the basis is provided for a user to experience service recommended by the application recommendation data of different applications.
Description
Technical field
The present invention relates to technical field of data processing, more particularly, relate to a kind of application recommending data acquisition methods, device, electronic equipment and system.
Background technology
Application recommending data is recommended user for applying provider, the data that represent in application interface, and user can experience by application recommending data the application service that application provider recommends; Taking music application as example, the application interface of music application generally all provides new music, the music recommend data such as hot music, and the music that user recommends by clicking application interface, can trigger the broadcasting of music, realizes user to recommending the experience of music.
At present, often there is on the market multiple similar application, the application recommending data representing in these similar application interfaces that are applied in is separately not identical, taking Chinese music application as example, music application has QQ music, the extremely similar music application such as my music, the music recommend data that these similar music application represent in application interface are separately not identical.
The present inventor finds after deliberation: for multiple similar application on the market, the application that user can install by subscriber equipment gets the application recommending data of install application, thereby experience the service that application recommending data is recommended, and for the uninstalled application of subscriber equipment, user cannot experience the service that the application recommending data of application is recommended of not installing; The service that user recommends in order to experience the application recommending data of different application, often needs to install multiple different application, and the operation of the service that the application recommending data that causes user to experience different application is recommended is very loaded down with trivial details.Therefore, provide a kind of application recommending data acquisition methods, realize the obtaining of application recommending data of different application, think that user experiences the service that the application recommending data of different application recommends basis is provided, become those skilled in the art and need badly the problem of solution.
Summary of the invention
In view of this, the embodiment of the present invention provides a kind of application recommending data acquisition methods, device, electronic equipment and system, to realize the obtaining of application recommending data of different application, for experiencing the service that the application recommending data of different application recommends, user provides basis.
For achieving the above object, the embodiment of the present invention provides following technical scheme:
A kind of application recommending data acquisition methods, comprising:
User's historical operation data of obtaining the first application, described user's historical operation data comprise user's behavioral data, and corresponding object of action data;
From described user's historical operation data, determine goal behavior data and goal behavior object data;
According to goal behavior data and goal behavior object data, to the corresponding application server transmit operation of the second application request, the application recommending data pushing to obtain described application server, wherein second is applied as the application of the same type but different from the first application.
The embodiment of the present invention also provides a kind of application recommending data acquisition device, comprising:
Service data acquisition module, for obtaining user's historical operation data of the first application, described user's historical operation data comprise user's behavioral data, and corresponding object of action data;
Target data determination module, for determining goal behavior data and goal behavior object data from described user's historical operation data;
Operation requests module, be used for according to goal behavior data and goal behavior object data, to the corresponding application server transmit operation of the second application request, the application recommending data pushing to obtain described application server, wherein second is applied as the application of the same type but different from the first application.
The embodiment of the present invention also provides a kind of electronic equipment, comprises application recommending data acquisition device described above.
The embodiment of the present invention also provides a kind of application recommending data to obtain system, comprising: the first application server and the second application server;
Wherein, described the first application server, for obtaining user's historical operation data of the first application, described user's historical operation data comprise user's behavioral data, and corresponding object of action data, from described user's historical operation data, determine goal behavior data and goal behavior object data, according to goal behavior data and goal behavior object data, to corresponding the second application server transmit operation request of the second application, the application recommending data pushing to obtain described the second application server, wherein second be applied as the application of the same type but different from the first application,
Described the second application server, for receiving described the first application server according to the operation requests of goal behavior data and the transmission of goal behavior object data, and reach after preset times at received operation requests number of times, push application recommending data to described the first application server.
Based on technique scheme, the application recommending data acquisition methods that the embodiment of the present invention provides, from user's historical operation data of the first application, determine after goal behavior data and goal behavior object data, can be according to goal behavior data and goal behavior object data, to the corresponding application server transmit operation of the second application request, realize the simulation that manual operation second is repeatedly applied, the application recommending data pushing to obtain described application server, realizes obtaining of the second application recommending data applied different from the first application.The embodiment of the present invention adopts user's historical operation data of the first application as the generation foundation of operation requests information, to the corresponding application server transmit operation of the second application request, thereby realize obtaining of the second application recommending data applied different from the first application, solve the problem of obtaining that prior art cannot realize the application recommending data of different application, provided the foundation for user experiences the service that the application recommending data of different application recommends.
Brief description of the drawings
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is only embodiments of the invention, for those of ordinary skill in the art, do not paying under the prerequisite of creative work, other accompanying drawing can also be provided according to the accompanying drawing providing.
The process flow diagram of the application recommending data acquisition methods that Fig. 1 provides for the embodiment of the present invention;
Another process flow diagram of the application recommending data acquisition methods that Fig. 2 provides for the embodiment of the present invention;
A process flow diagram again of the application recommending data acquisition methods that Fig. 3 provides for the embodiment of the present invention;
The another process flow diagram of the application recommending data acquisition methods that Fig. 4 provides for the embodiment of the present invention;
The structured flowchart of the application recommending data acquisition device that Fig. 5 provides for the embodiment of the present invention;
The structured flowchart of the target data determination module that Fig. 6 provides for the embodiment of the present invention;
The structured flowchart of the operation requests module that Fig. 7 provides for the embodiment of the present invention;
Another structured flowchart of the target data determination module that Fig. 8 provides for the embodiment of the present invention;
The structured flowchart of the type determining unit that Fig. 9 provides for the embodiment of the present invention;
Another structured flowchart of the application recommending data acquisition device that Figure 10 provides for the embodiment of the present invention;
Another structured flowchart of the operation requests module that Figure 11 provides for the embodiment of the present invention;
The hardware block diagram of the electronic equipment that Figure 12 provides for the embodiment of the present invention;
The application recommending data that Figure 13 provides for the embodiment of the present invention obtains the structured flowchart of system.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiment.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtaining under creative work prerequisite, belong to the scope of protection of the invention.
The process flow diagram of the application recommending data acquisition methods that Fig. 1 provides for the embodiment of the present invention, the method can be applicable to electronic equipment, electronic equipment can be subscriber equipment, also can be the application server that application provider disposes, specifically determined by practical situations, with reference to Fig. 1, the method can comprise:
Step S100, obtain user's historical operation data of the first application, described user's historical operation data comprise user's behavioral data, and corresponding object of action data;
Optionally, the application that the first application can provide for obtaining the application provider of application recommending data of other application; Optionally, the first application can be mounted to subscriber equipment;
Optionally, in the operation process of the first application, the embodiment of the present invention can be in the time that user operates the first application, user's service data is kept in application data base, use as user's historical operation data, user's service data can comprise user's behavioral data and object of action data; Behavioral data characterize be the behavior command that user operates, object of action data characterization be the operand that user operates; In the embodiment of the present invention, behavioral data is corresponding with object of action data, specifically refers to the object of the corresponding behavior of behavioral data, corresponding with the corresponding object of object of action data.Be applied as music application as example taking first, behavioral data in " user downloads song A " this service data is corresponding with " download " behavior command, object of action data are corresponding with " song A " this downloaded object, and behavioral data is corresponding with object of action data refers to that downloaded object corresponding to download instruction is song A.
Step S110, from described user's historical operation data, determine goal behavior data and goal behavior object data;
Step S120, according to goal behavior data and goal behavior object data, to the corresponding application server transmit operation of the second application request, the application recommending data pushing to obtain described application server, wherein second is applied as the application of the same type but different from the first application.
Optionally, user's operation that operation requests characterizes can be the object that goal behavior object data is characterized, and carries out the behavior corresponding with goal behavior data.Behavior as corresponding in goal behavior data is for downloading, and object corresponding to goal behavior data is song A, and corresponding operation requests is for downloading song A.
Optionally, the embodiment of the present invention can be by the second default application account, and login the second application, to the corresponding application server transmit operation of the second application request, according to goal behavior data and goal behavior object data, send after multi-pass operations request to the application server of the second application correspondence, as operation requests number of times reaches preset times, realize the simulation that manual operation second is repeatedly applied, this application server can promote the authority of this second application account, push application recommending data to this second application account, thereby obtaining of the application recommending data of realization to the second application, realize user is pushed to the application recommending data of the first application and the application propelling data of the second application simultaneously, for experiencing the service that the application recommending data of different application recommends, user provides the foundation.
Optionally, the application recommending data that the application server gathering pushes can comprise static application recommending data and dynamic application recommending data, taking music application as example, can comprise special edition, singer, song, focus chart etc.
The application recommending data acquisition methods that the embodiment of the present invention provides, from user's historical operation data of the first application, determine after goal behavior data and goal behavior object data, can be according to goal behavior data and goal behavior object data, to the corresponding application server transmit operation of the second application request, realize the simulation that manual operation second is repeatedly applied, the application recommending data pushing to obtain described application server, realizes obtaining of the second application recommending data applied different from the first application.The embodiment of the present invention adopts user's historical operation data of the first application as the generation foundation of operation requests information, to the corresponding application server transmit operation of the second application request, thereby realize obtaining of the second application recommending data applied different from the first application, solve the problem of obtaining that prior art cannot realize the application recommending data of different application, provided the foundation for user experiences the service that the application recommending data of different application recommends.
Optionally, the application recommending data that application server pushes for dissimilar user is not identical, in order to obtain the more fully application recommending data of the second application, the embodiment of the present invention can be according to the behavioral data of different user types and object of action data, respectively to the corresponding application server transmit operation of the second application request, thereby get the application recommending data that the second application pushes for different user types.Corresponding, Fig. 2 shows another process flow diagram of the application recommending data acquisition methods that the embodiment of the present invention provides, and with reference to Fig. 2, the method can comprise:
Step S200, obtain user's historical operation data of the first application, described user's historical operation data comprise user's behavioral data, and corresponding object of action data;
Corresponding goal behavior data and the goal behavior object data of preset user type determined in step S210, the behavior keyword corresponding according to preset user type from described user's historical operation data;
Wherein, the goal behavior data that determined preset user type is corresponding, the behavior keyword corresponding with preset user type is corresponding;
Optionally, behavior keyword corresponding to user type refers to the behavior preference of user's operational applications of this user type, and behavior preference refers in all behaviors of user's operational applications and occupies a certain proportion of behavior.
Taking music application as example, operate the behavior preference of music application according to user, user type can be divided into shares type, collection type etc., share the operation that type refers to that the user of the type shares music and occupy majority, collection type refers to that the operation that user collects music occupies majority, and this section of cited user type is only for ease of understanding the enforcement of step S210, and it is not representative, corresponding, share behavior keyword corresponding to type of user for sharing, corresponding behavior command is for sharing instruction, behavior keyword corresponding to collection type of user is collection, corresponding behavior command is collection instruction, the embodiment of the present invention can be determined behavior keyword for sharing from described user's historical operation data, corresponding behavioral data and corresponding object of action data, thereby as sharing the corresponding goal behavior data of user type and goal behavior object data, corresponding, can from described user's historical operation data, determine behavior keyword for collection, corresponding behavioral data and corresponding object of action data, thereby as the collection corresponding goal behavior data of user type and goal behavior object data.The deterministic process of the corresponding goal behavior data of other user types and goal behavior object data therewith in like manner.
Step S220, according to goal behavior data corresponding to preset user type and goal behavior object data, to the corresponding application server transmit operation of the second application request, the application recommending data corresponding with preset user type pushing to obtain described application server, wherein second is applied as the application of the same type but different from the first application.
The embodiment of the present invention is by determining corresponding goal behavior data and the goal behavior object data of preset user type, thereby send goal behavior data and the goal behavior object data corresponding operation requests corresponding with preset user type to the corresponding application server of the second application, realize the simulation of applying with the corresponding manual operation of preset user type second repeatedly, after thereby the user type of determining the user of transmit operation request at described application server is preset user type, push out application recommending data corresponding to preset user type.
Optionally, the embodiment of the present invention can be by arranging method shown in multiple electronic equipment execution graphs 2, and the user type difference that each electronic equipment is preset, or adopt method shown in an electronic equipment execution graph 2, but the user type difference that each performed method is preset, can get the application recommending data that the corresponding application server of the second application pushes to the user of each user type.
Optionally, for increasing the dirigibility of the operation requests sending to the application server of the second application, the embodiment of the present invention can be using certain customers' historical operation data as goal behavior data and goal behavior object data use, and definite corresponding user type of these certain customers' historical operation data, the application recommending data that the application server using the application recommending data finally getting as the second application pushes to this user type.Corresponding, Fig. 3 shows a process flow diagram again of the application recommending data acquisition methods that the embodiment of the present invention provides, and with reference to Fig. 3, the method can comprise:
Step S300, obtain user's historical operation data of the first application, described user's historical operation data comprise user's behavioral data, and corresponding object of action data;
Step S310, from described user's historical operation data, choose targeted customer's historical operation data, described targeted customer's historical operation data comprise goal behavior data and goal behavior object data;
Optionally, the mode of choosing targeted customer's historical operation data from described user's historical operation data can be for choosing at random mode, as choose user's historical operation data of section sometime, or choose user's historical operation data etc. in a certain area.
Step S320, determine the corresponding user type of targeted customer's historical operation data;
Optionally, the embodiment of the present invention can be determined the corresponding behavior keyword of each goal behavior data, by determined maximum corresponding user type of behavior keyword, as the corresponding user type of targeted customer's historical operation data.
Step S330, according to goal behavior data and goal behavior object data, to the corresponding application server transmit operation of the second application request, the application recommending data pushing to obtain described application server, wherein, the application recommending data obtaining is corresponding with determined user type, and second is applied as the application of the same type but different from the first application.
Optionally, the application recommending data acquisition methods that the embodiment of the present invention provides can be applicable to the application server of the application provider deployment of the first application, getting after the application recommending data of the corresponding application server propelling movement of the second application, the embodiment of the present invention can be passed through obtained application recommending data, the corresponding application service data of acquisition applications recommending data, and application recommending data is pushed to the user of the first application; Optionally, can, according to the difference of user type, push different application recommending datas to the user of the first application, and ask to apply after the corresponding application service of recommending data user, send corresponding application service data.Taking music application as example, application recommending data carries plays the link of music and the introduction of music, corresponding application service data are recommended concrete music content, the situation of Video Applications is also similar, application recommending data carries the link of displaying video and the introduction of video, and corresponding application service data are recommended concrete video-frequency playing content.Optionally, Fig. 4 shows the another process flow diagram of the application recommending data acquisition methods that the embodiment of the present invention provides, and with reference to Fig. 4, the method can comprise:
Step S400, obtain user's historical operation data of the first application, described user's historical operation data comprise user's behavioral data, and corresponding object of action data;
Step S410, from described user's historical operation data, determine goal behavior data and goal behavior object data;
Optionally, the embodiment of the present invention can be determined different goal behavior data and goal behavior object data according to different user types; Also can from described user's historical operation data, determine after goal behavior data and goal behavior object data at random, determine goal behavior data and user type corresponding to goal behavior object data.
Step S420, according to goal behavior data and goal behavior object data, to the corresponding application server transmit operation of the second application request, the application recommending data pushing to obtain described application server, wherein second is applied as the application of the same type but different from the first application;
Optionally, the embodiment of the present invention can be according to different user types corresponding goal behavior data and goal behavior object data, to the corresponding application server transmit operation of the second application request, thereby get for different user types the different application recommending data that the corresponding application server of the second application pushes.
Step S430, getting after the application recommending data that described application server pushes, according to described application recommending data to application service data corresponding to described application server request;
Optionally, the embodiment of the present invention can arrange database and store the application service data that described application recommending data is corresponding.
Step S440, described application recommending data is pushed to subscriber equipment, and applies after the service that recommending data is corresponding receiving described in user equipment requests, by corresponding asked application recommending data application service data-pushing to described subscriber equipment.
Optionally, the embodiment of the present invention can be according to different user types, push corresponding application recommending data.
Optionally, described application recommending data can first be incorporated in the application recommending data of the first application, then pushes to subscriber equipment, and is presented in the application interface of the first application; Optionally, in the time that the application server of the first application receives service corresponding to the application recommending data applied of request second that subscriber equipment sends, the application server of the first application can extract and the corresponding application service data of asked application recommending data from database, and by extremely corresponding subscriber equipment of extracted application service data-pushing, thereby make user can experience the service corresponding to application recommending data of the second application.
It should be noted that, the determined goal behavior data of the embodiment of the present invention and goal behavior object data can be multiple, be that the embodiment of the present invention need send multi-pass operations request to the corresponding application server of the second application, single job request is formed by goal behavior data and a corresponding goal behavior object data.
Optionally, the embodiment of the present invention can the multiple goal behavior data of generating run list storage and goal behavior object data, a corresponding goal behavior object data of goal behavior data; In the time of each transmit operation request, the embodiment of the present invention can be random from described operating list, choose goal behavior data and corresponding goal behavior object data, by selected goal behavior data and corresponding goal behavior object data generating run solicited message, and send this operation requests information to the corresponding application server of the second application, thereby realize the simulation that manual operation second is repeatedly applied.
Optionally, the create-rule that the embodiment of the present invention also can setting operation solicited message, operation requests information might not generate according to operating list, and operating list is in the generative process of operation requests information and unnecessary; Create-rule can be, the goal behavior object data of identical goal behavior data and correspondence is set as the frequency of operation requests information, within a period of time, identical goal behavior data and corresponding goal behavior object data can not exceed preset times as the number of times of operation requests information; Create-rule can be also that, in adjacent some time section, the operation requests information that each time period sends can not be identical, the operation requests information being sent as the time period 1 is a, b, c,, in adjacent some time section, as the time period 2, the operation requests information that the operation requests information that time periods 3 grade sends can not send with the time period 1 is identical, can not be a, b, c, and can be a, d, e etc.
Optionally, the embodiment of the present invention can adopt self-learning method by backstage robot, according to goal behavior data and goal behavior object data, to the corresponding application server transmit operation of the second application request, realizes the simulation that manual operation second is applied.
The application recommending data the acquisition device below embodiment of the present invention being provided is introduced, application recommending data acquisition device described below can with the mutual corresponding reference of above-described application recommending data acquisition methods.
The structured flowchart of the application recommending data acquisition device that Fig. 5 provides for the embodiment of the present invention, this application recommending data acquisition device can be applicable to electronic equipment, electronic equipment can be subscriber equipment, also can be the application server that application provider disposes, specifically determined by practical situations, with reference to Fig. 5, this device can comprise:
Service data acquisition module 100, for obtaining user's historical operation data of the first application, described user's historical operation data comprise user's behavioral data, and corresponding object of action data;
Target data determination module 200, for determining goal behavior data and goal behavior object data from described user's historical operation data;
Operation requests module 300, be used for according to goal behavior data and goal behavior object data, to the corresponding application server transmit operation of the second application request, the application recommending data pushing to obtain described application server, wherein second is applied as the application of the same type but different from the first application.
Optionally, Fig. 6 shows the optional structure of one of the target data determination module 200 that the embodiment of the present invention provides, and with reference to Fig. 6, target data determination module 200 can comprise:
The first performance element 210 for the behavior keyword corresponding according to preset user type, is determined corresponding goal behavior data and the goal behavior object data of preset user type from described user's historical operation data.
Corresponding, Fig. 7 shows the optional structure of one of the operation requests module 300 that the embodiment of the present invention provides, and with reference to Fig. 7, operation requests module 300 can comprise:
The first request unit 310, be used for according to goal behavior data corresponding to preset user type and goal behavior object data, to the corresponding application server transmit operation of the second application request, the application recommending data corresponding with preset user type pushing to obtain described application server.
Optionally, Fig. 8 shows the optional structure of another kind of the target data determination module 200 that the embodiment of the present invention provides, and with reference to Fig. 8, target data determination module 200 can comprise:
The second performance element 220, for choosing targeted customer's historical operation data from described user's historical operation data, described targeted customer's historical operation data comprise goal behavior data and goal behavior object data;
Type determining unit 221, for determining the corresponding user type of described targeted customer's historical operation data.
Optionally, Fig. 9 shows the optional structure of one of the type determining unit 221 that the embodiment of the present invention provides, and with reference to Fig. 9, type determining unit 221 can comprise:
Determine and carry out subelement 2210, for determining the corresponding behavior keyword of each goal behavior data, by determined maximum corresponding user type of behavior keyword, as the corresponding user type of targeted customer's historical operation data.
Optionally, Figure 10 shows another structure of the application recommending data acquisition device that the embodiment of the present invention provides, and this device can be applicable to the application server of the first application correspondence, and shown in Fig. 5 and Figure 10, this device can also comprise:
Service data acquisition module 400, for getting after the application recommending data that described application server pushes, according to described application recommending data to application service data corresponding to described application server request;
Data-pushing module 500, for described application recommending data is pushed to subscriber equipment, and apply after the service that recommending data is corresponding receiving described in user equipment requests, by corresponding asked application recommending data application service data-pushing to described subscriber equipment.
Optionally, Figure 11 shows the optional structure of another kind of the operation requests module 300 that the embodiment of the present invention provides, and with reference to Figure 11, operation requests module 300 can comprise:
List generation unit 320, for generating run list, described operating list stores multiple goal behavior data and goal behavior object data, a corresponding goal behavior object data of goal behavior data;
Solicited message generation unit 321, for choose goal behavior data and corresponding goal behavior object data from described operating list, by selected goal behavior data and corresponding goal behavior object data generating run solicited message, to send described operation requests information to the corresponding application server of the second application.
The application recommending data acquisition device that inventive embodiments provides, from user's historical operation data of the first application, determine after goal behavior data and goal behavior object data, can be according to goal behavior data and goal behavior object data, to the corresponding application server transmit operation of the second application request, realize the simulation that manual operation second is repeatedly applied, the application recommending data pushing to obtain described application server, realize different with the first application second apply the obtaining of application recommending data.The embodiment of the present invention adopts user's historical operation data of the first application as the generation foundation of operation requests information, to the corresponding application server transmit operation of the second application request, thereby realize obtaining of the second application recommending data applied different from the first application, solve the problem of obtaining that prior art cannot realize the application recommending data of different application, provided the foundation for user experiences the service that the application recommending data of different application recommends.
The embodiment of the present invention also provides a kind of electronic equipment, this electronic equipment can be subscriber equipment, also can be the application server that application provider disposes, specifically determined by practical situations, this electronic equipment can comprise application recommending data acquisition device described above, specific descriptions about application recommending data acquisition device can, referring to the description of corresponding part above, repeat no more herein.
Figure 12 shows the hardware block diagram of the electronic equipment that the embodiment of the present invention provides, and with reference to Figure 12, this electronic equipment can comprise: processor 1, communication interface 2, storer 3 and communication bus 4;
Wherein processor 1, communication interface 2, storer 3 complete mutual communication by communication bus 4;
Optionally, communication interface 2 can be the interface of communication module, as the interface of gsm module;
Processor 1, for executive routine;
Storer 3, for depositing program;
Program can comprise program code, and described program code comprises computer-managed instruction.
Processor 1 may be a central processor CPU, or specific integrated circuit ASIC (Application Specific Integrated Circuit), or is configured to implement one or more integrated circuit of the embodiment of the present invention.
Storer 3 may comprise high-speed RAM storer, also may also comprise nonvolatile memory (non-volatile memory), for example at least one magnetic disk memory.
Wherein, program can be specifically for:
User's historical operation data of obtaining the first application, described user's historical operation data comprise user's behavioral data, and corresponding object of action data;
From described user's historical operation data, determine goal behavior data and goal behavior object data;
According to goal behavior data and goal behavior object data, to the corresponding application server transmit operation of the second application request, the application recommending data pushing to obtain described application server, wherein second is applied as the application of the same type but different from the first application.
The application recommending data that Figure 13 provides for the embodiment of the present invention obtains the structured flowchart of system, system shown in Figure 13 is only a kind of optional system architecture that realizes the application recommending data acquisition methods that the embodiment of the present invention provides, below describe content can with the mutual corresponding reference of content of above-described application recommending data acquisition methods part, with reference to Figure 13, this application recommending data obtains system and can comprise: the first application server 10 and the second application server 20, the first application server 10 can be the application server of the first application correspondence, the second application server 20 can be the application server of the second application correspondence,
Wherein, the first application server 10, for obtaining user's historical operation data of the first application, described user's historical operation data comprise user's behavioral data, and corresponding object of action data, from described user's historical operation data, determine goal behavior data and goal behavior object data, according to goal behavior data and goal behavior object data, to corresponding the second application server transmit operation request of the second application, the application recommending data pushing to obtain described the second application server, wherein second be applied as the application of the same type but different from the first application,
The second application server 20, for receiving described the first application server according to the operation requests of goal behavior data and the transmission of goal behavior object data, and reach after preset times at received operation requests number of times, push application recommending data to described the first application server.
Optionally, the first application server 10 can be by the second default application account, and login the second application, to corresponding the second application server transmit operation request of the second application, according to goal behavior data and goal behavior object data, the second application server to the second application correspondence sends multi-pass operations request, as operation requests number of times reaches preset times, after the simulation that realization manual operation second is repeatedly applied, this second application server can promote the authority of this second application account, push application recommending data to this second application account, thereby obtaining of the application recommending data of realization to the second application, realize user is pushed to the application recommending data of the first application and the application propelling data of the second application simultaneously, for experiencing the service that the application recommending data of different application recommends, user provides the foundation.
Optionally, the first application server 10 is getting after the application recommending data of described the second application server propelling movement, can also be used for according to described application recommending data to application service data corresponding to described the second application server request, described application recommending data is pushed to subscriber equipment, and apply after the service that recommending data is corresponding receiving described in user equipment requests, by corresponding asked application recommending data application service data-pushing to described subscriber equipment.
The embodiment of the present invention adopts user's historical operation data of the first application as the generation foundation of operation requests information, to the corresponding application server transmit operation of the second application request, realize the simulation that manual operation second is repeatedly applied, thereby realize obtaining of the second application recommending data applied different from the first application, solve the problem of obtaining that prior art cannot realize the application recommending data of different application, provided the foundation for user experiences the service that the application recommending data of different application recommends.
In this instructions, each embodiment adopts the mode of going forward one by one to describe, and what each embodiment stressed is and the difference of other embodiment, between each embodiment identical similar part mutually referring to.For the disclosed device of embodiment, because it corresponds to the method disclosed in Example, so description is fairly simple, relevant part illustrates referring to method part.
Professional can also further recognize, unit and the algorithm steps of each example of describing in conjunction with embodiment disclosed herein, can realize with electronic hardware, computer software or the combination of the two, for the interchangeability of hardware and software is clearly described, composition and the step of each example described according to function in the above description in general manner.These functions are carried out with hardware or software mode actually, depend on application-specific and the design constraint of technical scheme.Professional and technical personnel can realize described function with distinct methods to each specifically should being used for, but this realization should not thought and exceeds scope of the present invention.
The software module that the method for describing in conjunction with embodiment disclosed herein or the step of algorithm can directly use hardware, processor to carry out, or the combination of the two is implemented.Software module can be placed in the storage medium of any other form known in random access memory (RAM), internal memory, ROM (read-only memory) (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field.
To the above-mentioned explanation of the disclosed embodiments, make professional and technical personnel in the field can realize or use the present invention.To be apparent for those skilled in the art to the multiple amendment of these embodiment, General Principle as defined herein can, in the situation that not departing from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention will can not be restricted to these embodiment shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.
Claims (14)
1. an application recommending data acquisition methods, is characterized in that, comprising:
User's historical operation data of obtaining the first application, described user's historical operation data comprise user's behavioral data, and corresponding object of action data;
From described user's historical operation data, determine goal behavior data and goal behavior object data;
According to goal behavior data and goal behavior object data, to the corresponding application server transmit operation of the second application request, the application recommending data pushing to obtain described application server, wherein second is applied as the application of the same type but different from the first application.
2. application recommending data acquisition methods according to claim 1, is characterized in that, describedly from described user's historical operation data, determines that goal behavior data and goal behavior object data comprise:
Corresponding goal behavior data and the goal behavior object data of preset user type determined in the behavior keyword corresponding according to preset user type from described user's historical operation data;
Described according to goal behavior data and goal behavior object data, to the corresponding application server transmit operation of the second application request, comprise with the application recommending data that obtains described application server propelling movement:
According to goal behavior data corresponding to preset user type and goal behavior object data, to the corresponding application server transmit operation of the second application request, the application recommending data corresponding with preset user type pushing to obtain described application server.
3. application recommending data acquisition methods according to claim 1, is characterized in that, describedly from described user's historical operation data, determines that goal behavior data and goal behavior object data comprise:
From described user's historical operation data, choose targeted customer's historical operation data, described targeted customer's historical operation data comprise goal behavior data and goal behavior object data, and determine the corresponding user type of described targeted customer's historical operation data.
4. application recommending data acquisition methods according to claim 3, is characterized in that, the corresponding user type of described definite targeted customer's historical operation data comprises:
Determine the corresponding behavior keyword of each goal behavior data, by determined maximum corresponding user type of behavior keyword, as the corresponding user type of targeted customer's historical operation data.
5. according to the application recommending data acquisition methods described in claim 1-4 any one, it is characterized in that, described method is applied to the application server of the first application correspondence, and described method also comprises:
Getting after the application recommending data that described application server pushes, according to described application recommending data to application service data corresponding to described application server request;
Described application recommending data is pushed to subscriber equipment, and applies after the service that recommending data is corresponding receiving described in user equipment requests, by corresponding asked application recommending data application service data-pushing to described subscriber equipment.
6. application recommending data acquisition methods according to claim 1, is characterized in that, described according to goal behavior data and goal behavior object data, comprises to the corresponding application server transmit operation of the second application request:
Generating run list, described operating list stores multiple goal behavior data and goal behavior object data, a corresponding goal behavior object data of goal behavior data;
From described operating list, choose goal behavior data and corresponding goal behavior object data, by selected goal behavior data and corresponding goal behavior object data generating run solicited message, to send described operation requests information to the corresponding application server of the second application.
7. an application recommending data acquisition device, is characterized in that, comprising:
Service data acquisition module, for obtaining user's historical operation data of the first application, described user's historical operation data comprise user's behavioral data, and corresponding object of action data;
Target data determination module, for determining goal behavior data and goal behavior object data from described user's historical operation data;
Operation requests module, be used for according to goal behavior data and goal behavior object data, to the corresponding application server transmit operation of the second application request, the application recommending data pushing to obtain described application server, wherein second is applied as the application of the same type but different from the first application.
8. application recommending data acquisition device according to claim 7, is characterized in that, described target data determination module comprises:
The first performance element for the behavior keyword corresponding according to preset user type, is determined corresponding goal behavior data and the goal behavior object data of preset user type from described user's historical operation data;
Described operation requests module comprises:
The first request unit, be used for according to goal behavior data corresponding to preset user type and goal behavior object data, to the corresponding application server transmit operation of the second application request, the application recommending data corresponding with preset user type pushing to obtain described application server.
9. application recommending data acquisition device according to claim 7, is characterized in that, described target data determination module comprises:
The second performance element, for choosing targeted customer's historical operation data from described user's historical operation data, described targeted customer's historical operation data comprise goal behavior data and goal behavior object data;
Type determining unit, for determining the corresponding user type of described targeted customer's historical operation data.
10. application recommending data acquisition device according to claim 9, is characterized in that, described type determining unit comprises:
Determine and carry out subelement, for determining the corresponding behavior keyword of each goal behavior data, by determined maximum corresponding user type of behavior keyword, as the corresponding user type of targeted customer's historical operation data.
11. according to the application recommending data acquisition device described in claim 7-10 any one, it is characterized in that, described device also comprises:
Service data acquisition module, for getting after the application recommending data that described application server pushes, according to described application recommending data to application service data corresponding to described application server request;
Data-pushing module, for described application recommending data is pushed to subscriber equipment, and apply after the service that recommending data is corresponding receiving described in user equipment requests, by corresponding asked application recommending data application service data-pushing to described subscriber equipment.
12. application recommending data acquisition device according to claim 7, is characterized in that, described operation requests module comprises:
List generation unit, for generating run list, described operating list stores multiple goal behavior data and goal behavior object data, a corresponding goal behavior object data of goal behavior data;
Solicited message generation unit, for choose goal behavior data and corresponding goal behavior object data from described operating list, by selected goal behavior data and corresponding goal behavior object data generating run solicited message, to send described operation requests information to the corresponding application server of the second application.
13. 1 kinds of electronic equipments, is characterized in that, comprise the application recommending data acquisition device described in claim 7-12 any one.
14. 1 kinds of application recommending datas obtain system, it is characterized in that, comprising: the first application server and the second application server;
Wherein, described the first application server, for obtaining user's historical operation data of the first application, described user's historical operation data comprise user's behavioral data, and corresponding object of action data, from described user's historical operation data, determine goal behavior data and goal behavior object data, according to goal behavior data and goal behavior object data, to corresponding the second application server transmit operation request of the second application, the application recommending data pushing to obtain described the second application server, wherein second be applied as the application of the same type but different from the first application,
Described the second application server, for receiving described the first application server according to the operation requests of goal behavior data and the transmission of goal behavior object data, and reach after preset times at received operation requests number of times, push application recommending data to described the first application server.
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