CN105630977A - Application recommending method, device and system - Google Patents
Application recommending method, device and system Download PDFInfo
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- CN105630977A CN105630977A CN201510992771.8A CN201510992771A CN105630977A CN 105630977 A CN105630977 A CN 105630977A CN 201510992771 A CN201510992771 A CN 201510992771A CN 105630977 A CN105630977 A CN 105630977A
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- 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
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Abstract
The invention discloses an application recommending method, device and system, and belongs to the field of software management. The method includes the steps of receiving identification, sent by a client side, of a first application, determining a to-be-recommended second application according to the identification of the first application, and recommending the second application to the client side. The identification of the first application is sent to a server by the client side, the server determines the to-be-recommended second application according to the identification of the first application and recommends the second application to the client side, and the client side receives the second application recommended by the server; the problem that because when the application is recommended, the server does not recommend an application to the user according to the actual demands of the user, the installation conversion rate of the recommended application is not high is solved; the application recommended by the server to the user better conforms to the actual demands of the user, and the downloading rate and the installation and conversion rate of the recommended application are increased.
Description
Technical field
The embodiment of the present invention relates to software management domain, in particular to a kind of application program recommend method, Apparatus and system.
Background technology
In the terminal of such as smart mobile phone, panel computer and so on, application market is usually used to manage the application program in terminal. Application market can recommend some application programs to install to user.
In prior art, when user enters application market, or during use application market down load application program, the background server of application market can recommend some application programs carrying out business popularization to user.
In the process realizing the embodiment of the present invention, contriver finds that prior art at least exists following problem:
Owing to background server generally promotes factor to user's exemplary application program based on business, recommended application program might not meet the actual demand of user, causes the download rate of recommended application program and installation transformation efficiency not high.
Summary of the invention
In order to solve the problem of prior art, embodiments provide a kind of application program recommend method, Apparatus and system. Described technical scheme is as follows:
First aspect according to embodiments of the present invention, it provides a kind of application program recommend method, the method comprises:
Receiving the mark of the first application program that client terminal sends, described first application program is the application program having been obtained by user in described client terminal or having obtained;
Mark according to described first application program determines the 2nd application program to be recommended;
Described 2nd application program is recommended to described client terminal.
Second aspect according to embodiments of the present invention, it provides a kind of application program recommend method, the method comprises:
Send the mark of the first application program to server, described first application program is the application program having been obtained by user in client terminal or having obtained;
Receiving the 2nd application program that described server is recommended, the 2nd application program is that server is determined according to the mark of the first application program.
The third aspect according to embodiments of the present invention, it provides a kind of application program recommendation apparatus, this device comprises:
First receiver module, for receiving the mark of the first application program that client terminal sends, described first application program is the application program having been obtained by user in described client terminal or having obtained;
Determination module, for determining the 2nd application program to be recommended according to the mark of described first application program;
Recommending module, for recommending described 2nd application program to described client terminal.
Fourth aspect according to embodiments of the present invention, it provides a kind of application program recommendation apparatus, this device comprises:
First sending module, for sending the mark of the first application program to server, described first application program is the application program having been obtained by user in client terminal or having obtained;
Receiver module, for receiving the 2nd application program that described server is recommended, the 2nd application program is that server is determined according to the mark of the first application program.
The useful effect that the technical scheme that the embodiment of the present invention provides is brought is:
Sent the mark of the first application program by user end to server, server determines the 2nd application program to be recommended according to the mark of the first application program, and recommends the 2nd application program to client terminal, the 2nd application program that client terminal reception server is recommended; Solve when exemplary application program, server not based on the actual demand of user to user's exemplary application program, the problem that the installation transformation efficiency of recommended application program is not high; Reach and make server more meet the actual demand of user to the application program that user recommends, it is to increase the effect of the download rate of recommended application program and installation transformation efficiency.
Accompanying drawing explanation
In order to the technical scheme being illustrated more clearly in the embodiment of the present invention, below the accompanying drawing used required in embodiment being described is briefly described, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the schematic diagram of the implementation environment of a kind of application program recommend method according to the exemplary embodiment of part;
Fig. 2 A is the schema of a kind of application program recommend method according to an exemplary embodiment;
Fig. 2 B is the interface schematic diagram that a kind of application program according to an exemplary embodiment is recommended;
Fig. 3 A is the schema of a kind of application program recommend method according to another exemplary embodiment;
Fig. 3 B is the interface schematic diagram that a kind of application program according to another exemplary embodiment is recommended;
Fig. 3 C is the interface schematic diagram that a kind of application program according to another exemplary embodiment is recommended;
Fig. 4 A is the schema of a kind of application program recommend method according to another exemplary embodiment;
Fig. 4 B is the interface schematic diagram that a kind of application program according to another exemplary embodiment is recommended;
Fig. 5 A is the schema of a kind of application program recommend method according to another exemplary embodiment;
Fig. 5 B is the schema of a kind of application program recommend method according to another exemplary embodiment;
Fig. 6 is the schema of a kind of application program recommend method according to another exemplary embodiment;
Fig. 7 is the block diagram of a kind of application program recommendation apparatus according to another exemplary embodiment;
Fig. 8 is the block diagram of a kind of application program recommendation apparatus according to another exemplary embodiment;
Fig. 9 is the block diagram of a kind of application program recommendation apparatus according to another exemplary embodiment;
Figure 10 is the block diagram of a kind of application program recommendation apparatus according to another exemplary embodiment.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, embodiment of the present invention is described further in detail.
Please refer to Fig. 1, it illustrates the schematic diagram of the implementation environment involved by a kind of application program recommend method that the embodiment of the present invention provides, as shown in Figure 1, this implementation environment can comprise: terminal 120, server 140.
Terminal 120 is the electronics with data transmit-receive function, such as: panel computer, mobile phone. Running in terminal 120 and have client terminal, client terminal can be application market class application program, has the ability of download, peace loading, unloading and management application program, such as: application is precious, pea pod.
Storing the relevant information of application program in server 140, and use the relevant information of the user of application market, server 140 can to terminal 120 exemplary application program.
The quantity of terminal 120 is at least one, and terminal 120 and server 140 are by cable network, or wireless network, or data transmission line is connected.
Please refer to Fig. 2 A, it illustrates the schema of the application program recommend method that an illustrative embodiment of the invention provides. This application program recommend method can be applicable to application program commending system as shown in Figure 1. As shown in Figure 2 A, this application program recommend method can comprise the following steps:
In step 201, user end to server sends the mark of the first application program.
First application program is the application program having been obtained by user in client terminal or having obtained.
Optionally, the application program obtained by user refers to that the application program that user has downloaded and installed, the application program obtained by user are downloading in interface to show, or the application program downloaded.
Optionally, download user's display interface that interface is the relevant information providing application program to user, the relevant information of application program comprises at least one in the title of application program, size, application scene, runnable interface, user comment, download address, and Fig. 2 B schematically illustrates the interface schematic diagram downloading interface.
In step 202., server receives the mark of the first application program that client terminal sends.
In step 203, server determines the 2nd application program to be recommended according to the mark of the first application program.
Optionally, the 2nd application program comprises: there is the application program of application dependence with the first application program; And/or, the popular application program different from the Application Type of the first application program; And/or, at least one with the application program that the user of user portrait mates mutually, in the application program that also namely the 2nd application program comprises the application program that there is application dependence from the first application program popular application program different with the Application Type of the first application program, user's portrait of user mates mutually.
Optionally, application dependence comprises the relation of functional realiey aspect between two different application programs, the relation of safety performance aspect, the relation of operation stability aspect.
There is application dependence between current application program and Another Application program can be understood as: when lacking Another Application program, part or all of function in current application program cannot use, such as lacking and decode bag accordingly, player cannot the file of normal play corresponding format; Or, when lacking Another Application program, the use safety of current application program cannot ensure, the application program such as paying type, when lacking the application program of safe type, cannot ensure the confidentiality of payment account during payment; Or, when lacking Another Application program, current application program fluctuation of service, such as lacks Google service framework, and GooglePlay operationally can dodge and move back.
Optionally, popular application program is the application program that user's download exceedes predetermined threshold.
In step 204, server recommends the 2nd application program to client terminal.
In step 205, the 2nd application program that client terminal reception server is recommended.
It should be noted that, above-mentioned steps 201 and step 205 can realize separately the application program recommend method becoming client-side, and step 202 can realize separately the application program recommend method becoming server side to step 204.
In sum, the application program recommend method that the embodiment of the present invention provides, the mark of the first application program is sent by user end to server, server determines the 2nd application program to be recommended according to the mark of the first application program, and recommend the 2nd application program to client terminal, the 2nd application program that client terminal reception server is recommended; Solve when exemplary application program, server not based on the actual demand of user to user's exemplary application program, the problem that the installation transformation efficiency of recommended application program is not high; Reach and make server more meet the actual demand of user to the application program that user recommends, it is to increase the effect of the download rate of recommended application program and installation transformation efficiency.
Please refer to Fig. 3 A, it illustrates the schema of the application program recommend method that another exemplary embodiment of the present invention provides. When the 2nd application program is the application program that there is application dependence with the first application program, this application program recommend method can be applicable to application program commending system as shown in Figure 1. As shown in Figure 3A, this application program recommend method can comprise the following steps:
In step 301, user end to server sends the mark of the first application program.
First application program is the application program having been obtained by user in client terminal or having obtained.
Optionally, the time of the mark that user end to server sends the first application program does not limit, it is possible to when being the application market that user enters in client terminal first time, or when user enters particular user interface in application market. Such as, when opening the application market in client terminal as user, user end to server sends the mark of the application program that user has obtained in client terminal; Or, when user is when using application market, enter the download interface of application program, or during use application market down load application program, user end to server sends the mark of the application program that user is obtaining.
In step 302, server receives the mark of the first application program that client terminal sends.
In step 303, server is by application program corresponding with the mark of the first application program in application dependence table, it is determined that be the 2nd application program.
Optionally, the 2nd application program comprises the application program that there is application dependence with the first application program.
Optionally, application dependence comprises the relation of functional realiey aspect between two different application programs, the relation of safety performance aspect, the relation of operation stability aspect.
Application dependence table comprises: the corresponding relation between the application program that the mark of the first application program and the first application program rely on.
Optionally, the quantity applying the application program that the first application program relies in dependence table is at least one.
Optionally, application dependence table also comprises the title of the application program that application program relies on, the affected function of application program, recommend information etc.
Optionally, the establishment method of application dependence table has two kinds: one, when Develop Application System person submits application program to application market, other application programs that submission application program relies on simultaneously and application dependence; Two, server background judges other application programs that each application program relies on and application dependence by artificial means.
In step 304, server recommends the 2nd application program to client terminal.
Optionally, when applying the application program not existing in dependence table and there is application dependence with the first application program, server is not to visitor's end exemplary application program; When the quantity of the 2nd application program is multiple, server recommends the 2nd whole application programs to client terminal, or recommends several application programs in the 2nd application program to client terminal.
In step 305, the 2nd application program that client terminal reception server is recommended.
The 2nd application program that client terminal reception server is recommended, and show to user in user interface.
Optionally, client terminal is shown to user at download interface, or shows to user when user clicks download. Such as, showing recommended 2nd application program at the download interface of application program to user, as shown in Figure 3 B, 31 show the recommendation information of application program, and 32 is the title of the 2nd application program; Showing to user when user clicks download, as shown in Figure 3 C, 33 show the recommendation information of application program.
Optionally, when user selects the 2nd application program shown in user interface, turn to the download interface of the 2nd application program, or the 2nd application program is added in download list.
Optionally, it is also possible to comprise following two steps:
One, the user data of user is reported to server by client terminal.
Client terminal collects the user data of the user using client terminal place terminal, and the user data collected is reported to server. Optionally, the user data of change several times to server report of user data, such as: when the user data of user changes, can be reported to server by client terminal.
Optionally, user data comprises: at least one in the history use record of information, internet records and application program purchased by the name of user, age, occupation, hobby, social information, net, and history uses record to comprise the use record of the first application program.
Correspondingly, server receives the user data that client terminal reports, and user data client terminal reported by the form of big data mining is analyzed, and sets up and stores the user corresponding to different user and draw a portrait.
Two, user end to server sends the ID of user.
Optionally, the ID of user is the login account of user, and the ID of each user is unique, and the ID of user and the user of user draw a portrait one_to_one corresponding in the server.
It should be noted that, above-mentioned " one, two " are only and each step are distinguished, but do not limit the sequencing of corresponding steps. The sequencing of above-mentioned steps can be arranged arbitrarily by those skilled in the art.
In sum, the application program recommend method that the embodiment of the present invention provides, the mark of the first application program is sent by user end to server, server determines the 2nd application program to be recommended according to the mark of the first application program, and recommend the 2nd application program to client terminal, the 2nd application program that client terminal reception server is recommended; Solve when exemplary application program, server not based on the actual demand of user to user's exemplary application program, the problem that the installation transformation efficiency of recommended application program is not high; Reach and make server more meet the actual demand of user to the application program that user recommends, it is to increase the effect of the download rate of recommended application program and installation transformation efficiency.
In addition, the application program recommend method that the embodiment of the present invention provides, by setting up application dependence table, it is defined as the 2nd application program to be recommended by there is the application program applying dependence with the first application program, the application program making recommended application program obtain with user or obtain is associated, and contributes to improving the download rate of recommended application program and installs transformation efficiency.
Please refer to Fig. 4 A, it illustrates the schema of the application program recommend method that another exemplary embodiment of the present invention provides. When the 2nd application program is different from the Application Type of the first application program popular application program, this application program recommend method can by server as shown in Figure 1 and client executing. As shown in Figure 4 A, this application program recommend method can comprise the following steps:
In step 401, user end to server sends the mark of the first application program.
First application program is the application program having been obtained by user in client terminal or having obtained. Optionally, the quantity of the first application program is at least one.
Optionally, the first application program does not comprise the system program in client terminal.
In step 402, server receives the mark of the first application program that client terminal sends.
In step 403, server determines the Application Type of the first application program according to the mark of the first application program.
Optionally, the Application Type of application program can characterize the functional characteristics of application program, such as: social activity, video, music, shopping, news, financing, game, instrument etc.
Optionally, the mark of each application program is unique, can uniquely determine application program in the server according to the mark of application program.
Optionally, in server, the title of mark and the application program of application program, download link, recommendation information, use scenes, function etc. are corresponding.
In step 404, other Program Type except the Application Type except the first application program, in default Application Type set, is defined as candidate program type by server.
Such as, the Application Type set preset comprises video, social activity, news, English, health, shopping, game, life, according to the mark of the first application program, server determines that the Application Type of the first application program is video, then by other Program Types except the Application Type except the first application program, i.e. social activity, news, English, health, shopping, game, life are defined as candidate program type.
In step 405, server is by the popular application program in often kind of candidate program type, it is determined that be the 2nd application program.
Optionally, popular application program is the application program that user's download exceedes predetermined threshold.
Owing to candidate's Application Type is in default pool of applications, except the Application Type of the first application program is with additional Application Type, therefore, the 2nd application program is popular application programs different from the Application Type of the first application program.
Optionally, server can also by the popular application program in any several types in whole candidate program type, it is determined that be the 2nd application program.
In a step 406, server recommends the 2nd application program to client terminal.
Optionally, server application market first time in the client when opening to client terminal exemplary application program. After the situation that application market first time opens comprises start, user enters application market first time, and user enters application market again after thoroughly closing application market.
Optionally, server, when application program is downloaded or when application program prepares to download, recommends the 2nd application program to client terminal.
In step 407, the 2nd application program that client terminal reception server is recommended.
The 2nd application program that client terminal reception server is recommended also shows in user interface. Fig. 4 B schematically shows the interface schematic diagram of the 2nd application program in client terminal of server recommendation.
Optionally, it is also possible to comprise following two steps:
One, the user data of user is reported to server by client terminal.
Client terminal collects the user data of the user using client terminal place terminal, and the user data collected is reported to server. Optionally, the user data of change several times to server report of user data, such as: when the user data of user changes, can be reported to server by client terminal.
Optionally, user data comprises: at least one in the history use record of information, internet records and application program purchased by the name of user, age, occupation, hobby, social information, net, and history uses record to comprise the use record of the first application program.
Correspondingly, server receives the user data that client terminal reports, and is analyzed by user data by the form of big data mining, sets up and stores the user corresponding to different user and draw a portrait.
Two, user end to server sends the ID of user.
Optionally, the ID of user is the login account of user, and the ID of each user is unique, and the ID of user and the user of user draw a portrait one_to_one corresponding in the server.
It should be noted that, above-mentioned " one, two " are only and each step are distinguished, but do not limit the sequencing of corresponding steps. The sequencing of above-mentioned steps can be arranged arbitrarily by those skilled in the art.
In sum, the application program recommend method that the embodiment of the present invention provides, the mark of the first application program is sent by user end to server, server determines the 2nd application program to be recommended according to the mark of the first application program, and recommend the 2nd application program to client terminal, the 2nd application program that client terminal reception server is recommended; Solve when exemplary application program, server not based on the actual demand of user to user's exemplary application program, the problem that the installation transformation efficiency of recommended application program is not high; Reach and make server more meet the actual demand of user to the application program that user recommends, it is to increase the effect of the download rate of recommended application program and installation transformation efficiency.
In addition, the application program recommend method that the embodiment of the present invention provides, by recommending the application program different from the Application Type of the first application program to user, the function of the application program that the function of application program recommended and user installed is made to form complementation, the actual demand being more close to the users, contributes to improving the download rate of recommended application program and installs transformation efficiency.
Please refer to Fig. 5 A, it illustrates the schema of the application program recommend method that another exemplary embodiment of the present invention provides. When the 2nd application program is the application program that the portrait of the user with user mates mutually, this application program recommend method can by server as shown in Figure 1 and client executing. As shown in Figure 5A, this application program recommend method can comprise the following steps:
In step 501, the user data of user is reported to server by client terminal.
Client terminal collects the user data of the user using client terminal place terminal, and the user data collected is reported to server. Optionally, the user data of change several times to server report of user data, such as: when the user data of user changes, can be reported to server by client terminal.
Optionally, user data comprises: at least one in the history use record of information, internet records and application program purchased by the name of user, age, occupation, hobby, social information, net, and history uses record to comprise the use record of the first application program. First application program is the application program having been obtained by user in client terminal or having obtained.
Correspondingly, server receives the user data that client terminal reports, and user data client terminal reported by the form of big data mining is analyzed, and sets up and stores the user corresponding to different user and draw a portrait.
In step 502, user end to server sends the ID of user.
In step 503, user end to server sends the mark of the first application program.
It should be noted that, the execution order of above-mentioned steps 501 to step 503 does not limit, and step 501 and step 502 can perform after the step 503, and the execution order of step 501 and step 502 can also exchange.
In step 504, server receives the ID of the user that client terminal sends.
Optionally, the ID of each user is unique.
In step 505, server receives the mark of the first application program that client terminal sends.
In step 506, server obtains the user portrait corresponding with user according to the ID of user.
Optionally, user's portrait is that the user data reported according to client terminal is analyzed and obtained, and user's portrait comprises: the history that information, internet records and application program purchased in the name of user, age, occupation, hobby, social information, net uses at least one in recording.
In step 507, server calculates the matching degree between each candidate's application program and user's portrait.
Optionally, candidate's application program is the application program different from the first application program pre-set in server, such as carries out the application program of business popularization.
This step is specifically realized by following steps, as shown in Figure 5 B:
In step 5071, obtain and draw a portrait the first corresponding label collection with user.
Optionally, user draw a portrait in data be the statistic data of user, user's portrait of each user can both be summarized by some features, and a feature is called as a label, and label energy collecting enough identifies the feature of user's portrait of a user.
Such as, the age of the little China of user is 24, and occupation is writer, likes for photography, then the user of this user draws a portrait corresponding label and concentrates and have label " literature and art young, autodyne ".
In step 5072, obtain and each self-corresponding 2nd label collection of each candidate's application program.
Optionally, each application program has respective feature, also namely has each self-corresponding label collection.
Assume to get three candidate's application programs, it is application program 1, application program 2, application program 3 respectively, 2nd label of application program 1 correspondence is concentrated label " photography ", 2nd label of application program 2 correspondence is concentrated label " animation, Quadratic Finite Element ", and the 2nd label of application program 3 correspondence is concentrated label " college entrance examination, word ".
In step 5073, the first label collection and the 2nd label collection are carried out intersection operation, determine the matching degree between each candidate's application program and user's portrait according to the quantity that there is the label occured simultaneously.
First label collection and the 2nd label collection carry out intersection operation, namely the matcher between user's portrait and candidate's application program is calculated, the quantity that there is the label occured simultaneously is more many, the matching degree of candidate's application program and user's portrait is more high, the quantity that there is the label occured simultaneously is more few, and the matching degree of candidate's application program and user's portrait is more low.
Such as, in above-mentioned steps, label collection corresponding to the 2nd label collection corresponding to the 2nd label collection that the first label collection corresponding to the little China of user is corresponding with application program 1 respectively, application program 2, application program 3 carries out intersection operation, the number of labels obtaining the two label collection existence common factor corresponding with application program 1 is 1, the number of labels that the two label collection corresponding with application program 2 is corresponding is 0, and the number of labels that the two label collection corresponding with application program 3 is corresponding is 0.
In step 508, server determines the 2nd application program according to matching degree in candidate's application program.
Optionally, matcher is sorted, using candidate's application program high for matching degree as the 2nd application program.
For example, the quantity that the 2nd label collection that the first label collection that in above-mentioned steps, the little China of user is corresponding is corresponding with application program 1 exists the label occured simultaneously is maximum, the matching degree that the user of application program 1 and the little China of user draws a portrait is the highest, using application program 1 as the 2nd application program.
In step 509, server recommends the 2nd application program to client terminal.
This step elaborates in the above-described embodiments, repeats no more here.
In step 510, the 2nd application program that client terminal reception server is recommended.
This step elaborates in the above-described embodiments, repeats no more here.
In sum, the application program recommend method that the embodiment of the present invention provides, the mark of the first application program is sent by user end to server, server determines the 2nd application program to be recommended according to the mark of the first application program, and recommend the 2nd application program to client terminal, the 2nd application program that client terminal reception server is recommended; Solve when exemplary application program, server not based on the actual demand of user to user's exemplary application program, the problem that the installation transformation efficiency of recommended application program is not high; Reach and make server more meet the actual demand of user to the application program that user recommends, it is to increase the effect of the download rate of recommended application program and installation transformation efficiency.
In addition, the application program recommend method that the embodiment of the present invention provides, by determining application program to be recommended according to the matcher of user's portrait with subsequent applications program, make recommended application program more meet user characteristics and demand, contribute to improving the download rate of recommended application program and transformation efficiency is installed.
In order to understand the embodiment of the present invention better, an embodiment comprises and the application program of the first application program Existence dependency relationship with the 2nd application program simultaneously below, the popular application program different from the Application Type of the first application program, the application program three kinds mated mutually with the user of user portrait illustrates; Those skilled in the art can also by the application program with the first application program Existence dependency relationship, the popular application program different from the Application Type of the first application program, with any two kinds of combinations in the application program that the user of user portrait mates mutually, it is achieved above-mentioned application program recommend method.
Please refer to Fig. 6, it illustrates the method flow diagram of the application program recommend method that one embodiment of the invention provides. The present embodiment is applied in the application program commending system shown in Fig. 1 with this authorization method and illustrates. As shown in Figure 6, the method comprises:
In step 601, the user data of user is reported to server by client terminal.
Client terminal collects the user data of the user using client terminal place terminal, and the user data collected is reported to server. Optionally, the user data of change several times to server report of user data, such as: when the user data of user changes, can be reported to server by client terminal.
Optionally, user data comprises: at least one in the history use record of information, internet records and application program purchased by the name of user, age, occupation, hobby, social information, net, and history uses record to comprise the use record of the first application program. First application program is the application program having been obtained by user in client terminal or having obtained.
Correspondingly, server receives the user data that client terminal reports, and user data client terminal reported by the form of big data mining is analyzed, and sets up and stores the user corresponding to different user and draw a portrait.
In step 602, user end to server sends the ID of user.
This step elaborates in the above-described embodiments, repeats no more here.
In step 603, user end to server sends the mark of the first application program.
This step elaborates in the above-described embodiments, repeats no more here.
It should be noted that, the execution order of above-mentioned steps 601 to step 603 does not limit, and step 601 and step 602 can perform after step 603, and the execution order of step 601 and step 602 can also exchange.
In step 604, server receives the ID of the user that client terminal sends
In step 605, server receives the mark of the first application program that client terminal sends.
In step 606, server obtains the user portrait corresponding with user according to the ID of user.
Optionally, user's portrait is that the user data reported according to client terminal is analyzed and obtained, and user's portrait comprises: the history that information, internet records and application program purchased in the name of user, age, occupation, hobby, social information, net uses at least one in recording.
In step 607, server is according to the mark of the first application program, it is determined that the Application Type of the first application program.
In step 608, other Program Types except the Application Type except the first application program, in default Application Type set, are defined as candidate program type by server.
Such as, type in the Application Type set preset comprises: instrument, social activity, music, shopping, photography, news, financing, game, office, cuisines, patch, the Application Type of the first application program is music, shopping, then by instrument, social activity, photography, news, financing, game, office, cuisines, patch alternatively Program Type.
In step 609, server is by the popular application program alternatively application program in often kind of candidate program type.
Optionally, server is by least one application program alternatively application program in the popular application program in candidate program type. Such as, user's download is the highest from the popular application program each candidate program one alternatively application program, assume to obtain candidate's application program that six belong to distinct program type respectively, application A, application program B, application program C, application program D, application program E, application program F.
In step 610, server calculates the matching degree between each candidate's application program and user's portrait.
Server obtains draws a portrait the first corresponding label collection with user. Assume to get and draw a portrait the first corresponding label with user and concentrate and comprise three labels, respectively: young, game, cuisines.
Server obtains each self-corresponding 2nd label collection of each candidate's application program, then the first label collection and the 2nd label collection are carried out intersection operation, determines the matching degree between each candidate's application program and user's portrait according to the quantity that there is the label occured simultaneously. Assume that above-mentioned application A, application program B, application program C, application program D, application program E, application program F and the first label collection exist the quantity occured simultaneously and be respectively 2,3,3,1,0,0.
In step 611, in the application program that matcher is conformed to a predetermined condition by server, there is the application program of application dependence with the first application program, it is determined that be the 2nd application program.
Optionally, the quantity that each candidate's application program and the 2nd application program exist the label occured simultaneously is more big, more high with the matching degree of the first application program.
Such as, using the application program that the application program maximum with the quantity of the first label collection existence common factor conforms to a predetermined condition as matching degree, detect again and whether applying dependence with the first application program, if there is application dependence, then it is defined as the 2nd application program, by above-mentioned steps it will be seen that application program B and application program C is confirmed as the 2nd application program.
In step 612, server recommends the 2nd application program to client terminal.
In step 613, the 2nd application program that client terminal reception server is recommended.
Optionally, the 2nd application program received is shown to user by client terminal in user interface.
This step elaborates in the above-described embodiments, repeats no more here.
In sum, the application program recommend method that the embodiment of the present invention provides, the mark of the first application program is sent by user end to server, server determines the 2nd application program to be recommended according to the mark of the first application program, and recommend the 2nd application program to client terminal, the 2nd application program that client terminal reception server is recommended; Solve when exemplary application program, server not based on the actual demand of user to user's exemplary application program, the problem that the installation transformation efficiency of recommended application program is not high; Reach and make server more meet the actual demand of user to the application program that user recommends, it is to increase the effect of the download rate of recommended application program and installation transformation efficiency.
In addition, the application program recommend method that the embodiment of the present invention provides, the application program recommended is the popular application program that the portrait of the user with user mates mutually, the application program Existence dependency relationship obtained with user again or obtaining, it is possible to have more pointedly to user's exemplary application program.
Following is apparatus of the present invention embodiment, it is possible to for performing the inventive method embodiment. For the details not disclosed in apparatus of the present invention embodiment, please refer to the inventive method embodiment.
Please refer to Fig. 7, it illustrates the block diagram of the application program recommendation apparatus that disclosure embodiment provides. This position acquisition device can realize becoming the whole or a part of of the above-mentioned terminal providing application program recommend method method by software, hardware or both combinations. This device comprises:
First receiver module 710, for receiving the mark of the first application program that client terminal sends, the first application program is the application program having been obtained by user in client terminal or having obtained.
Determination module 720, for determining the 2nd application program to be recommended according to the mark of the first application program.
Recommending module 730, for recommending the 2nd application program to client terminal.
In sum, the application program recommendation apparatus that the embodiment of the present invention provides, the mark of the first application program is sent by user end to server, server determines the 2nd application program to be recommended according to the mark of the first application program, and recommend the 2nd application program to client terminal, the 2nd application program that client terminal reception server is recommended; Solve when exemplary application program, server not based on the actual demand of user to user's exemplary application program, the problem that the installation transformation efficiency of recommended application program is not high; Reach and make server more meet the actual demand of user to the application program that user recommends, it is to increase the effect of the download rate of recommended application program and installation transformation efficiency.
Please refer to Fig. 8, it illustrates the block diagram of the application program recommendation apparatus that another embodiment of the disclosure provides. This position acquisition device can realize becoming the whole or a part of of the above-mentioned terminal providing application program recommend method method by software, hardware or both combinations. This device comprises:
First receiver module 810, for receiving the mark of the first application program that client terminal sends, the first application program is the application program having been obtained by user in client terminal or having obtained.
Determination module 820, for determining the 2nd application program to be recommended according to the mark of the first application program.
Recommending module 830, for recommending the 2nd application program to client terminal.
Optionally, the 2nd application program comprises:
The application program of application dependence is there is with the first application program;
And/or,
The popular application program different from the Application Type of the first application program, popular application program is the application program that user's download exceedes predetermined threshold;
And/or,
With the application program that the user of user portrait mates mutually.
Optionally, it is determined that module 820, comprising:
First determining unit 821, for by application program corresponding with the mark of the first application program in application dependence table, it is determined that be the 2nd application program;
Wherein, apply dependence table to comprise: the corresponding relation between the application program that the mark of the first application program and the first application program rely on.
Optionally, it is determined that module 820, comprising:
Type determining unit 822, for determining the Application Type of the first application program according to the mark of the first application program;
Program determining unit 823, for, in default Application Type set, being defined as candidate program type by other Program Type except the Application Type except the first application program;
2nd determining unit 824, for by the popular application program in often kind of candidate program type, it is determined that be the 2nd application program.
Optionally, this device also comprises:
2nd receiver module 840, for receiving the ID of the user that client terminal sends;
Determination module 820, comprising:
Portrait determining unit 825, the user portrait corresponding with user is obtained for the ID according to user, user's portrait is that the user data reported according to client terminal is analyzed and obtained, user's portrait comprises: the history of the name of user, age, occupation, hobby and application program uses at least one in record, and history uses record to comprise the use record of the first application program;
Calculate unit 826, for the matching degree calculated between each candidate's application program and user's portrait;
3rd determining unit 827, for determining the 2nd application program according to matching degree in candidate's application program.
Optionally, calculate unit 826, comprising:
First acquisition subelement 8261, draws a portrait the first corresponding label collection for obtaining with user;
2nd acquisition subelement 8262, for obtaining and each self-corresponding 2nd label collection of each candidate's application program;
Common factor computation subunit 8263, for the first label collection and the 2nd label collection are carried out intersection operation, determines the matching degree between each candidate's application program and user's portrait according to the quantity that there is the label occured simultaneously.
In sum, the application program recommendation apparatus that the embodiment of the present invention provides, the mark of the first application program is sent by user end to server, server determines the 2nd application program to be recommended according to the mark of the first application program, and recommend the 2nd application program to client terminal, the 2nd application program that client terminal reception server is recommended; Solve when exemplary application program, server not based on the actual demand of user to user's exemplary application program, the problem that the installation transformation efficiency of recommended application program is not high; Reach and make server more meet the actual demand of user to the application program that user recommends, it is to increase the effect of the download rate of recommended application program and installation transformation efficiency.
In addition, the application program recommendation apparatus that the embodiment of the present invention provides, by setting up application dependence table, it is defined as the 2nd application program to be recommended by there is the application program applying dependence with the first application program, the application program making recommended application program obtain with user or obtain is associated, and contributes to improving the download rate of recommended application program and installs transformation efficiency.
In addition, the application program recommendation apparatus that the embodiment of the present invention provides, by recommending the application program different from the Application Type of the first application program to user, the function of the application program that the function of application program recommended and user installed is made to form complementation, the actual demand being more close to the users, contributes to improving the download rate of recommended application program and installs transformation efficiency.
In addition, the application program recommendation apparatus that the embodiment of the present invention provides, by determining application program to be recommended according to the matcher of user's portrait with subsequent applications program, make recommended application program more meet user characteristics and demand, contribute to improving the download rate of recommended application program and transformation efficiency is installed.
Please refer to Fig. 9, it illustrates the block diagram of the application program recommendation apparatus that another embodiment of the disclosure provides. This position acquisition device can realize becoming the whole or a part of of the above-mentioned terminal providing application program recommend method method by software, hardware or both combinations. This device comprises:
First sending module 910, for sending the mark of the first application program to server, the first application program is the application program having been obtained by user in client terminal or having obtained;
Receiver module 920, for the 2nd application program that reception server is recommended, the 2nd application program is that server is determined according to the mark of the first application program.
In sum, the application program recommendation apparatus that the embodiment of the present invention provides, the mark of the first application program is sent by user end to server, server determines the 2nd application program to be recommended according to the mark of the first application program, and recommend the 2nd application program to client terminal, the 2nd application program that client terminal reception server is recommended; Solve when exemplary application program, server not based on the actual demand of user to user's exemplary application program, the problem that the installation transformation efficiency of recommended application program is not high; Reach and make server more meet the actual demand of user to the application program that user recommends, it is to increase the effect of the download rate of recommended application program and installation transformation efficiency.
Please refer to Figure 10, it illustrates the block diagram of the application program recommendation apparatus that another embodiment of the disclosure provides. This position acquisition device can realize becoming the whole or a part of of the above-mentioned terminal providing application program recommend method method by software, hardware or both combinations. This device comprises:
First sending module 1010, for sending the mark of the first application program to server, the first application program is the application program having been obtained by user in client terminal or having obtained;
Receiver module 1020, for the 2nd application program that reception server is recommended, the 2nd application program is that server is determined according to the mark of the first application program.
Optionally, the 2nd application program comprises:
The application program of application dependence is there is with the first application program;
And/or,
The popular application program different from the Application Type of the first application program, popular application program is the application program that user's download exceedes predetermined threshold;
And/or,
With the application program that the user of user portrait mates mutually.
Optionally, this device also comprises:
Upper transmission module 1030, for the user data of user is reported to server, user data comprises: the history of the name of user, age, occupation, hobby and application program uses at least one in record, and history uses record to comprise the use record of the first application program;
2nd sending module 1040, for sending the ID of user to server.
In sum, the application program recommendation apparatus that the embodiment of the present invention provides, the mark of the first application program is sent by user end to server, server determines the 2nd application program to be recommended according to the mark of the first application program, and recommend the 2nd application program to client terminal, the 2nd application program that client terminal reception server is recommended; Solve when exemplary application program, server not based on the actual demand of user to user's exemplary application program, the problem that the installation transformation efficiency of recommended application program is not high; Reach and make server more meet the actual demand of user to the application program that user recommends, it is to increase the effect of the download rate of recommended application program and installation transformation efficiency.
It should be understood that the application program recommendation apparatus that above-described embodiment provides is when exemplary application program, only it is illustrated with the division of above-mentioned each function module, in practical application, can complete by different function modules as required and by above-mentioned functions distribution, it is divided into different function modules, to complete all or part of function described above by the internal structure of equipment. In addition, the application program recommendation apparatus that above-described embodiment provides and application program recommend method embodiment belong to same design, and its specific implementation process refers to embodiment of the method, repeats no more here.
Above-mentioned embodiment of the present invention sequence number, just to describing, does not represent the quality of embodiment.
One of ordinary skill in the art will appreciate that all or part of step realizing above-described embodiment can be completed by hardware, can also be completed by the hardware that program carrys out instruction relevant, described application program can be stored in a kind of computer-readable recording medium, the above-mentioned storage media mentioned can be read-only storage, disk or CD etc.
The foregoing is only the better embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment of doing, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (19)
1. an application program recommend method, it is characterised in that, described method comprises:
Receiving the mark of the first application program that client terminal sends, described first application program is the application program having been obtained by user in described client terminal or having obtained;
Mark according to described first application program determines the 2nd application program to be recommended;
Described 2nd application program is recommended to described client terminal.
2. method according to claim 1, it is characterised in that, described 2nd application program comprises:
The application program of application dependence is there is with described first application program;
And/or,
The popular application program different from the Application Type of described first application program, described popular application program is the application program that user's download exceedes predetermined threshold;
And/or,
With the application program that the user of described user portrait mates mutually.
3. method according to claim 2, it is characterised in that, the described mark according to described first application program determines the 2nd application program to be recommended, comprising:
By application program corresponding with the mark of described first application program in application dependence table, it is determined that be described 2nd application program;
Wherein, described application dependence table comprises: the corresponding relation between the application program that the mark of described first application program and described first application program rely on.
4. method according to claim 2, it is characterised in that, the described mark according to described first application program determines the 2nd application program to be recommended, comprising:
Mark according to described first application program determines the Application Type of described first application program;
In default Application Type set, other Program Type except the Application Type except described first application program is defined as candidate program type;
By the described popular application program in often kind of described candidate program type, it is determined that be described 2nd application program.
5. method according to claim 2, it is characterised in that, the described mark according to described first application program, it is determined that before the 2nd application program to be recommended, also comprise:
Receive the ID of the described user that described client terminal sends;
The described mark according to described first application program determines the 2nd application program to be recommended, comprising:
ID according to described user obtains the user portrait corresponding with described user, described user portrait is that the user data reported according to described client terminal is analyzed and obtained, described user portrait comprises: the history of the name of described user, age, occupation, hobby and application program uses at least one in record, and described history uses record to comprise the use record of described first application program;
Calculate the matching degree between each candidate's application program and described user portrait;
In described candidate's application program, described 2nd application program is determined according to described matching degree.
6. method according to claim 5, it is characterised in that, the matching degree between each candidate's application program of described calculating and described user portrait, comprising:
Obtain and draw a portrait the first corresponding label collection with described user;
Obtain and each self-corresponding 2nd label collection of candidate's application program described in each;
Described first label collection and described 2nd label collection are carried out intersection operation, determines candidate's application program described in each and the matching degree between described user portrait according to the quantity that there is the label occured simultaneously.
7. an application program recommend method, it is characterised in that, described method comprises:
Send the mark of the first application program to server, described first application program is the application program having been obtained by user in client terminal or having obtained;
Receiving the 2nd application program that described server is recommended, described 2nd application program is that described server is determined according to the mark of described first application program.
8. method according to claim 7, it is characterised in that, described 2nd application program comprises:
The application program of application dependence is there is with described first application program;
And/or,
The popular application program different from the Application Type of described first application program, described popular application program is the application program that user's download exceedes predetermined threshold;
And/or,
With the application program that the user of described user portrait mates mutually.
9. method according to claim 7, it is characterised in that, before the 2nd application program that the described server of described reception is recommended, also comprise:
The user data of described user is reported to described server, described user data comprises: the history of the name of described user, age, occupation, hobby and application program uses at least one in record, and described history uses record to comprise the use record of described first application program;
The ID of described user is sent to described server.
10. an application program recommendation apparatus, it is characterised in that, described device comprises:
First receiver module, for receiving the mark of the first application program that client terminal sends, described first application program is the application program having been obtained by user in described client terminal or having obtained;
Determination module, for determining the 2nd application program to be recommended according to the mark of described first application program;
Recommending module, for recommending described 2nd application program to described client terminal.
11. devices according to claim 10, it is characterised in that, described 2nd application program comprises:
The application program of application dependence is there is with described first application program;
And/or,
The popular application program different from the Application Type of described first application program, described popular application program is the application program that user's download exceedes predetermined threshold;
And/or,
With the application program that the user of described user portrait mates mutually.
12. devices according to claim 11, it is characterised in that, described determination module, comprising:
First determining unit, for by application program corresponding with the mark of described first application program in application dependence table, it is determined that be described 2nd application program;
Wherein, described application dependence table comprises: the corresponding relation between the application program that the mark of described first application program and described first application program rely on.
13. devices according to claim 11, it is characterised in that, described determination module, comprising:
Type determining unit, for determining the Application Type of described first application program according to the mark of described first application program;
Program determining unit, for, in default Application Type set, being defined as candidate program type by other Program Type except the Application Type except described first application program;
2nd determining unit, for by the described popular application program in often kind of described candidate program type, it is determined that be described 2nd application program.
14. devices according to claim 11, it is characterised in that, described device, also comprises:
2nd receiver module, for receiving the ID of the described user that described client terminal sends;
Described determination module, comprising:
Portrait determining unit, the user portrait corresponding with described user is obtained for the ID according to described user, described user portrait is that the user data reported according to described client terminal is analyzed and obtained, described user portrait comprises: the history of the name of described user, age, occupation, hobby and application program uses at least one in record, and described history uses record to comprise the use record of described first application program;
Calculate unit, for the matching degree calculated between each candidate's application program and described user portrait;
3rd determining unit, for determining described 2nd application program according to described matching degree in described candidate's application program.
15. devices according to claim 14, it is characterised in that, described calculating unit, comprising:
First acquisition subelement, draws a portrait the first corresponding label collection for obtaining with described user;
2nd acquisition subelement, for obtaining and each self-corresponding 2nd label collection of candidate's application program described in each;
Common factor computation subunit, for described first label collection and described 2nd label collection are carried out intersection operation, determines candidate's application program described in each and the matching degree between described user portrait according to the quantity that there is the label occured simultaneously.
16. 1 kinds of application program recommendation apparatus, it is characterised in that, described device comprises:
First sending module, for sending the mark of the first application program to server, described first application program is the application program having been obtained by user in client terminal or having obtained;
Receiver module, for receiving the 2nd application program that described server is recommended, described 2nd application program is that described server is determined according to the mark of described first application program.
17. devices according to claim 16, it is characterised in that, described 2nd application program comprises:
The application program of application dependence is there is with described first application program;
And/or,
The popular application program different from the Application Type of described first application program, described popular application program is the application program that user's download exceedes predetermined threshold;
And/or,
With the application program that the user of described user portrait mates mutually.
18. devices according to claim 16, it is characterised in that, described device also comprises:
Upper transmission module, for the user data of described user is reported to described server, described user data comprises: the history of the name of described user, age, occupation, hobby and application program uses at least one in record, and described history uses record to comprise the use record of described first application program;
2nd sending module, for sending the ID of described user to described server.
19. 1 kinds of application program commending systems, it is characterised in that, described system also comprises: server and terminal;
Described server, comprise as arbitrary in claim 10 to 16 as described in device;
Described terminal, comprise as arbitrary in claim 17 to 18 as described in device.
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| CN111859116A (en) * | 2020-06-19 | 2020-10-30 | 湖南师范大学 | Personalized course recommendation method and device based on big data and lifetime planning |
| CN111784174B (en) * | 2020-07-10 | 2022-09-20 | 上海淇毓信息科技有限公司 | Method and device for managing risk policy based on user portrait and electronic equipment |
| CN111784174A (en) * | 2020-07-10 | 2020-10-16 | 上海淇毓信息科技有限公司 | Method and device for managing risk policy based on user portrait and electronic equipment |
| CN115659344A (en) * | 2022-12-28 | 2023-01-31 | 北京邮电大学 | Software supply chain detection method and device |
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