CN105630977B - Application program recommended method, apparatus and system - Google Patents
Application program recommended method, apparatus and system Download PDFInfo
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- CN105630977B CN105630977B CN201510992771.8A CN201510992771A CN105630977B CN 105630977 B CN105630977 B CN 105630977B CN 201510992771 A CN201510992771 A CN 201510992771A CN 105630977 B CN105630977 B CN 105630977B
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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
Abstract
The invention discloses a kind of application program recommended methods, apparatus and system, belong to software management domain.This method comprises: receiving the mark for the first application program that client is sent；The second application program to be recommended is determined according to the mark of the first application program；Recommend the second application program to client.The present invention sends the mark of the first application program by user end to server, server determines the second application program to be recommended according to the mark of the first application program, and recommend the second application program to client, client receives the second application program that server is recommended；It solves when recommending application program, the actual demand that server is not based on user recommends application program, the not high problem of installation conversion ratio of recommended application program to user；Reach the actual demand for making server application program recommended to the user be more in line with user, improves the downloading rate of recommended application program and the effect of installation conversion ratio.
Description
Technical field
The present embodiments relate to software management domain, in particular to a kind of application program recommended method, apparatus and system.
Background technique
In such as terminal of smart phone, tablet computer etc, carry out answering in management terminal usually using application market
Use program.Application market can recommend some application programs to install to user.
In the prior art, when user enters application market, or downloads application program using application market, application market
Background server can recommend some application programs for carrying out business promotion to user.
During realizing the embodiment of the present invention, the inventor finds that the existing technology has at least the following problems:
Recommend application program, recommended application program to user since background server is generally basede on business promotion factor
The actual demand that user might not be met causes the downloading rate of recommended application program and installation conversion ratio not high.
Summary of the invention
In order to solve problems in the prior art, the embodiment of the invention provides a kind of application program recommended method, device and
System.The technical solution is as follows:
According to a first aspect of the embodiments of the present invention, a kind of application program recommended method is provided, this method comprises:
Receive client send the first application program mark, first application program be in the client by with
The application program that family has obtained or obtained；
The second application program to be recommended is determined according to the mark of first application program；
Recommend second application program to the client.
According to a second aspect of the embodiments of the present invention, a kind of application program recommended method is provided, this method comprises:
The mark of the first application program is sent to server, first application program is to have been obtained in client by user
The application program for taking or obtaining；
The second application program that the server is recommended is received, the second application program is server according to the first application program
Mark it is determining.
According to a third aspect of the embodiments of the present invention, a kind of application program recommendation apparatus is provided, which includes:
First receiving module, the mark of the first application program for receiving client transmission, first application program
It is in the client by user has obtained or is obtaining application program；
Determining module, for determining the second application program to be recommended according to the mark of first application program；
Recommending module, for recommending second application program to the client.
According to a fourth aspect of the embodiments of the present invention, a kind of application program recommendation apparatus is provided, which includes:
First sending module, for sending the mark of the first application program to server, first application program is visitor
By user has obtained or is obtaining application program in the end of family；
Receiving module, the second application program recommended for receiving the server, the second application program is server root
Determining according to the mark of the first application program.
Technical solution provided in an embodiment of the present invention has the benefit that
The mark of the first application program is sent by user end to server, server is according to the mark of the first application program
Determine the second application program to be recommended, and recommend the second application program to client, client receive that server recommends the
Two application programs；It solves when recommending application program, the actual demand that server is not based on user is recommended to user using journey
Sequence, the not high problem of installation conversion ratio of recommended application program；Reach and has made server recommended to the user using journey
Sequence is more in line with the actual demand of user, improves the downloading rate of recommended application program and the effect of installation conversion ratio.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for
For those of ordinary skill in the art, without creative efforts, it can also be obtained according to these attached drawings other
Attached drawing.
Fig. 1 is the signal for implementing a kind of implementation environment of the application program recommended method exemplified according to exemplary partial
Figure；
Fig. 2A is a kind of flow chart of application program recommended method shown according to an exemplary embodiment；
Fig. 2 B is the interface schematic diagram that a kind of application program shown according to an exemplary embodiment is recommended；
Fig. 3 A is a kind of flow chart of the application program recommended method shown according to another exemplary embodiment；
Fig. 3 B is the interface schematic diagram that a kind of application program shown according to another exemplary embodiment is recommended；
Fig. 3 C is the interface schematic diagram that a kind of application program shown according to another exemplary embodiment is recommended；
Fig. 4 A is a kind of flow chart of the application program recommended method shown according to another exemplary embodiment；
Fig. 4 B is the interface schematic diagram that a kind of application program shown according to another exemplary embodiment is recommended；
Fig. 5 A is a kind of flow chart of the application program recommended method shown according to another exemplary embodiment；
Fig. 5 B is a kind of flow chart of the application program recommended method shown according to another exemplary embodiment；
Fig. 6 is a kind of flow chart of the application program recommended method shown according to another exemplary embodiment；
Fig. 7 is a kind of block diagram of the application program recommendation apparatus shown according to another exemplary embodiment；
Fig. 8 is a kind of block diagram of the application program recommendation apparatus shown according to another exemplary embodiment；
Fig. 9 is a kind of block diagram of the application program recommendation apparatus shown according to another exemplary embodiment；
Figure 10 is a kind of block diagram of the application program recommendation apparatus shown according to another exemplary embodiment.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with attached drawing to embodiment party of the present invention
Formula is described in further detail.
Referring to FIG. 1, it illustrates implement involved in a kind of application program recommended method provided in an embodiment of the present invention
The schematic diagram of environment, as shown in Figure 1, the implementation environment may include: terminal 120, server 140.
Terminal 120 is the electronic equipment with data transmit-receive function, such as: tablet computer, mobile phone.It is run in terminal 120
There is client, client can be application market class application program, have downloading, peace loading, unloading and the energy for managing application program
Power, such as: application treasured, pea pods.
The relevant information of application program, and the relevant information of the user using application market, clothes are stored in server 140
Being engaged in device 140 can be to the recommendation application program of terminal 120.
The quantity of terminal 120 is at least one, and terminal 120 and server 140 pass through cable network or wireless network, or
Data line is connected.
A referring to figure 2., it illustrates the processes for the application program recommended method that an illustrative embodiment of the invention provides
Figure.The application program recommended method can be applied to application program recommender system as shown in Figure 1.As shown in Figure 2 A, this applies journey
Sequence recommended method may comprise steps of:
In step 201, user end to server sends the mark of the first application program.
First application program is in client by user has obtained or is obtaining application program.
Optionally, the application program obtained by user refers to the application program that user has downloaded and installed, by with
The application program that family is obtaining, which is being downloaded in interface, to be shown, or the application program downloaded.
Optionally, downloading interface is the user's display interface for the relevant information for providing a user application program, application program
Relevant information include the title of application program, size, application scenarios, runnable interface, user comment, in download address at least
One kind, Fig. 2 B schematically illustrate the interface schematic diagram at downloading interface.
In step 202, server receives the mark for the first application program that client is sent.
In step 203, server determines the second application program to be recommended according to the mark of the first application program.
Optionally, the second application program includes: there is the application program using dependence with the first application program；With/
Or, the popular application program different from the Application Type of the first application program；And/or user's portrait phase with user
The application program namely the second application program matched include with the first application program exist using dependence application program, with
In the different popular application program of the Application Type of first application program, the application program that matches of user's portrait of user
At least one.
It optionally, include function realization side relation of plane between two different application programs using dependence, safety
Relationship, the operation stability side's relation of plane of aspect of performance.
Exist using dependence between current application program and another application program it is to be understood that another lacking
When application program, function is not available some or all of in current application program, for example lacks corresponding decoding packet, player
Can not normal play corresponding format file；Alternatively, current application program uses safe nothing when lacking another application program
Method guarantee, for example, type of payment application program in the application program for lacking security type, when payment, can not ensure that branch is paid a bill
The confidentiality at family；Alternatively, when lacking another application program, current application program fluctuation of service, for example lack Google clothes
Business frame, Google Play can dodge at runtime to move back.
Optionally, popular application program is the application program that user's download is more than predetermined threshold.
In step 204, server recommends the second application program to client.
In step 205, client receives the second application program that server is recommended.
It should be noted that above-mentioned steps 201 and step 205 can be implemented separately and push away as the application program of client-side
Method is recommended, the application program recommended method as server side can be implemented separately in step 202 to step 204.
In conclusion application program recommended method provided in an embodiment of the present invention, the is sent by user end to server
The mark of one application program, server determine the second application program to be recommended according to the mark of the first application program, and to visitor
The second application program is recommended at family end, and client receives the second application program that server is recommended；It solves and is recommending application program
When, the actual demand that server is not based on user recommends application program, the installation conversion ratio of recommended application program to user
Not high problem；Reach the actual demand for making server application program recommended to the user be more in line with user, improves quilt
The downloading rate of the application program of recommendation and the effect of installation conversion ratio.
A referring to figure 3., it illustrates the streams for the application program recommended method that another exemplary embodiment of the invention provides
Cheng Tu.When the second application program is there is the application program using dependence with the first application program, which is pushed away
The method of recommending can be applied to application program recommender system as shown in Figure 1.As shown in Figure 3A, which can wrap
Include following steps:
In step 301, user end to server sends the mark of the first application program.
First application program is in client by user has obtained or is obtaining application program.
Optionally, time of mark that user end to server sends the first application program does not limit, and can be user the
When the primary application market entered in client or when user enters particular user interface in application market.For example, working as user
When opening the application market in client, user end to server sends the mark for the application program that user has obtained in client
Know；Alternatively, into the downloading interface of application program, or using application market downloading application when user is when using application market
When program, user end to server sends the mark for the application program that user is obtaining.
In step 302, server receives the mark for the first application program that client is sent.
In step 303, server applies journey for corresponding with the mark of the first application program in application dependence table
Sequence is determined as the second application program.
Optionally, the second application program includes the application program existed with the first application program using dependence.
It optionally, include function realization side relation of plane between two different application programs using dependence, safety
Relationship, the operation stability side's relation of plane of aspect of performance.
Using dependence table include: the first application program mark and the application program that is relied on of the first application program it
Between corresponding relationship.
Optionally, the quantity of the application program relied on using the first application program in dependence table is at least one.
Optionally, using further include in dependence table application program rely on application program title, application program by
The function of influence recommends prompt information etc..
Optionally, using there are two types of the method for building up of dependence table: one, in the developer of application program to application market
When submitting application program, while the other applications of submitting application program to be relied on and using dependence；Two, after server
Platform judges the other applications and apply dependence that each application program is relied on by artificial means.
In step 304, server recommends the second application program to client.
Optionally, when there is no the application journeys existed with the first application program using dependence in application dependence table
When sequence, server does not recommend application program to objective end；When the quantity of the second application program is multiple, server is pushed away to client
The second whole application programs is recommended, or recommends several application programs in the second application program to client.
In step 305, client receives the second application program that server is recommended.
Client receives the second application program that server is recommended, and shows in user interface to user.
Optionally, client is shown in downloading circle's user oriented, or is shown when user clicks and downloads to user.
For example, downloading circle's user oriented in application program shows the second recommended application program, as shown in Figure 3B, 31 show and answer
It is the title of the second application program with the recommendation information of program, 32；It is shown when user clicks and downloads to user, such as Fig. 3 C
Shown, 33 show the recommendation information of application program.
Optionally, it when user selects the second application program shown in user interface, turns under the second application program
Interface is carried, or the second application program is added in download list.
Optionally, can also include following two steps:
One, the user data of user is reported to server by client.
Client collects the user data of the user using terminal where client, and the user data being collected into is reported
To server.Optionally, client can several times to server report of user data, such as: when user user data occur
When variation, the user data of variation is reported into server.
Optionally, user data includes: the name of user, age, occupation, hobby, social information, online shopping information, online
At least one of the history usage record of record and application program, history usage record include the use note of the first application program
Record.
Correspondingly, server receives the user data that client reports, and to client by way of big data is excavated
The user data reported is analyzed, and is established and is stored user's portrait corresponding to different user.
Two, user end to server sends the user identifier of user.
Optionally, the user identifier of user is the login account of user, the user identifier of each user be it is unique,
The user of the user identifier of user and user, which draw a portrait, in server corresponds.
It should be noted that above-mentioned " one, two " are only to distinguish to each step, but do not limit the elder generation of corresponding steps
Sequence afterwards.The sequencing of above-mentioned steps can be by those skilled in the art's arbitrary arrangement.
In conclusion application program recommended method provided in an embodiment of the present invention, the is sent by user end to server
The mark of one application program, server determine the second application program to be recommended according to the mark of the first application program, and to visitor
The second application program is recommended at family end, and client receives the second application program that server is recommended；It solves and is recommending application program
When, the actual demand that server is not based on user recommends application program, the installation conversion ratio of recommended application program to user
Not high problem；Reach the actual demand for making server application program recommended to the user be more in line with user, improves quilt
The downloading rate of the application program of recommendation and the effect of installation conversion ratio.
In addition, application program recommended method provided in an embodiment of the present invention, dependence table is applied by establishing, it will be with the
One application program, which exists, is determined as the second application program to be recommended using the application program of dependence, so that recommended answers
The application program for having been obtained or having been obtained with user with program is associated, helps to improve recommended application program
Downloading rate and installation conversion ratio.
A referring to figure 4., it illustrates the streams for the application program recommended method that another exemplary embodiment of the invention provides
Cheng Tu.When the second application program is the popular application program different from the Application Type of the first application program, the application
Program recommended method can be executed by server and client side as shown in Figure 1.As shown in Figure 4 A, which can
With the following steps are included:
In step 401, user end to server sends the mark of the first application program.
First application program is in client by user has obtained or is obtaining application program.Optionally, first
The quantity of application program is at least one.
Optionally, the first application program does not include the system program in client.
In step 402, server receives the mark for the first application program that client is sent.
In step 403, server determines the application class of the first application program according to the mark of the first application program
Type.
Optionally, the Application Type of application program can characterize the functional characteristics of application program, such as: social, view
Frequently, music, shopping, news, financing, game, tool etc..
Optionally, the mark of each application program is unique, can be in the server according to the mark of application program
Uniquely determine out application program.
Optionally, the title of the mark of application program and application program in server, download link, recommend prompt information,
Usage scenario, function etc. are corresponding.
In step 404, server will remove the application journey of the first application program in preset Application Type set
Other Program Types except sequence type are determined as candidate program type.
For example, in preset Application Type set include video, social activity, news, English, health, shopping, game,
Life, server determine that the Application Type of the first application program is video according to the mark of the first application program, then will
Other Program Types in addition to the Application Type of the first application program, i.e. social activity, news, English, health, shopping, trip
Play, life are determined as candidate program type.
In step 405, the popular application program in every kind of candidate program type is determined as second using journey by server
Sequence.
Optionally, popular application program is the application program that user's download is more than predetermined threshold.
Since candidate Application Type is in preset pool of applications, except the application class of the first application program
Type is with additional Application Type, and therefore, the second application program is heat different from the Application Type of the first application program
Door application program.
Optionally, server can also be by the popular application journey in any several types in whole candidate program types
Sequence is determined as the second application program.
In a step 406, server recommends the second application program to client.
Optionally, recommend application program to client when the application market of server in the client first switches on.It answers
The case where being first switched on market enters application market for the first time including user after booting, after user thoroughly closes application market
Again go into application market.
Optionally, server recommends the to client when application program is being downloaded or when application program prepares downloading
Two application programs.
In step 407, client receives the second application program that server is recommended.
Client receives the second application program that server is recommended and shows in user interface.Fig. 4 B is schematically shown
Interface schematic diagram of the second application program that server is recommended in client.
Optionally, can also include following two steps:
One, the user data of user is reported to server by client.
Client collects the user data of the user using terminal where client, and the user data being collected into is reported
To server.Optionally, client can several times to server report of user data, such as: when user user data occur
When variation, the user data of variation is reported into server.
Optionally, user data includes: the name of user, age, occupation, hobby, social information, online shopping information, online
At least one of the history usage record of record and application program, history usage record include the use note of the first application program
Record.
Correspondingly, server receives the user data that client reports, and to number of users by way of big data is excavated
According to being analyzed, establishes and store user's portrait corresponding to different user.
Two, user end to server sends the user identifier of user.
Optionally, the user identifier of user is the login account of user, the user identifier of each user be it is unique,
The user of the user identifier of user and user, which draw a portrait, in server corresponds.
It should be noted that above-mentioned " one, two " are only to distinguish to each step, but do not limit the elder generation of corresponding steps
Sequence afterwards.The sequencing of above-mentioned steps can be by those skilled in the art's arbitrary arrangement.
In conclusion application program recommended method provided in an embodiment of the present invention, the is sent by user end to server
The mark of one application program, server determine the second application program to be recommended according to the mark of the first application program, and to visitor
The second application program is recommended at family end, and client receives the second application program that server is recommended；It solves and is recommending application program
When, the actual demand that server is not based on user recommends application program, the installation conversion ratio of recommended application program to user
Not high problem；Reach the actual demand for making server application program recommended to the user be more in line with user, improves quilt
The downloading rate of the application program of recommendation and the effect of installation conversion ratio.
In addition, application program recommended method provided in an embodiment of the present invention, by recommending and the first application program to user
The different application program of Application Type so that the function and the installed application program of user of the application program recommended
Function form complementation, the actual demand being more close to the users helps to improve the downloading rate and peace of recommended application program
Fill conversion ratio.
A referring to figure 5., it illustrates the streams for the application program recommended method that another exemplary embodiment of the invention provides
Cheng Tu.When the second application program is to draw a portrait the application program to match with the user of user, which can
It is executed by server and client side as shown in Figure 1.As shown in Figure 5A, which may include following step
It is rapid:
In step 501, the user data of user is reported to server by client.
Client collects the user data of the user using terminal where client, and the user data being collected into is reported
To server.Optionally, client can several times to server report of user data, such as: when user user data occur
When variation, the user data of variation is reported into server.
Optionally, user data includes: the name of user, age, occupation, hobby, social information, online shopping information, online
At least one of the history usage record of record and application program, history usage record include the use note of the first application program
Record.First application program is in client by user has obtained or is obtaining application program.
Correspondingly, server receives the user data that client reports, and to client by way of big data is excavated
The user data reported is analyzed, and is established and is stored user's portrait corresponding to different user.
In step 502, user end to server sends the user identifier of user.
In step 503, user end to server sends the mark of the first application program.
It should be noted that above-mentioned steps 501 to step 503 execution sequence without limitation, step 501 and step 502
It can execute after the step 503, the execution sequence of step 501 and step 502 can also exchange.
In step 504, server receives the user identifier for the user that client is sent.
Optionally, the user identifier of each user is unique.
In step 505, server receives the mark for the first application program that client is sent.
In step 506, server obtains user corresponding to the user according to the user identifier of user and draws a portrait.
Optionally, user's portrait is analyzed according to the user data that client reports, and user's portrait includes: use
The name at family, the age, occupation, hobby, social information, online shopping information, in the history usage record of internet records and application program
At least one.
In step 507, server calculates the matching degree between each candidate application program and user's portrait.
Optionally, candidate application program is the pre-set application program different from the first application program in server,
For example carrying out the application program of business promotion.
The step is specifically realized by following steps, as shown in Figure 5 B:
In step 5071, the first tally set corresponding with user's portrait is obtained.
Optionally, the data in user's portrait are the statistical data of user, and user's portrait of each user can enough one
A little features are summarized, and a feature is referred to as a label, a tally set can be identified for that the spy of user's portrait of a user
Sign.
For example, the age of the small China of user is 24, occupation is writer, is liked to photograph, then the user of the user, which draws a portrait, corresponds to
Label be concentrated with label " literature and art young, self-timer ".
In step 5072, obtain and corresponding second tally set of each candidate application program.
Optionally, each application program has respective feature, namely has corresponding tally set.
It is application program 1, application program 2, application program 3 respectively, using journey assuming that getting three candidate application programs
Corresponding second label of sequence 1 is concentrated with label " photography ", and it is " animation, secondary that corresponding second label of application program 2 is concentrated with label
Member ", corresponding second label of application program 3 is concentrated with label " college entrance examination, word ".
In step 5073, the first tally set and the second tally set are subjected to intersection operation, according to there are the labels of intersection
Quantity determine the matching degree between each candidate application program and user's portrait.
Between the carry out intersection operation of first tally set and the second tally set, i.e. calculating user portrait and candidate application program
Matcher, there are the quantity of the label of intersection is more, candidate application program and the matching degree that user draws a portrait are higher, exist
The quantity of the label of intersection is fewer, and candidate application program is lower with the matching degree that user draws a portrait.
For example, in above-mentioned steps, corresponding first tally set of the small China of user second label corresponding with application program 1 respectively
Collection, corresponding second tally set of application program 2, the corresponding tally set of application program 3 carry out intersection operation, obtain and application program
1 corresponding second tally set is 1 there are the number of labels of intersection, the corresponding label of corresponding with application program 2 second tally set
Quantity is 0, and the corresponding number of labels of second tally set corresponding with application program 3 is 0.
In step 508, server determines the second application program according to matching degree in candidate application program.
Optionally, matcher is ranked up, using the high candidate application program of matching degree as the second application program.
For example, corresponding first tally set of the small China of user second label corresponding with application program 1 in above-mentioned steps
Collection will apply journey there are the matching degree highest that the quantity of the label of intersection is most, and the user of application program 1 and the small China of user draws a portrait
Sequence 1 is used as the second application program.
In step 509, server recommends the second application program to client.
The step elaborates in the above-described embodiments, and which is not described herein again.
In step 510, client receives the second application program that server is recommended.
The step elaborates in the above-described embodiments, and which is not described herein again.
In conclusion application program recommended method provided in an embodiment of the present invention, the is sent by user end to server
The mark of one application program, server determine the second application program to be recommended according to the mark of the first application program, and to visitor
The second application program is recommended at family end, and client receives the second application program that server is recommended；It solves and is recommending application program
When, the actual demand that server is not based on user recommends application program, the installation conversion ratio of recommended application program to user
Not high problem；Reach the actual demand for making server application program recommended to the user be more in line with user, improves quilt
The downloading rate of the application program of recommendation and the effect of installation conversion ratio.
In addition, application program recommended method provided in an embodiment of the present invention, by according to user's portrait and subsequent applications journey
The matcher of sequence determines application program to be recommended, so that recommended application program is more in line with user characteristics and needs
It asks, helps to improve the downloading rate and installation conversion ratio of recommended application program.
Embodiment for a better understanding of the present invention, below one embodiment with the second application program simultaneously include and first
There are the application program of dependence, the popular application journeys different from the Application Type of the first application program for application program
Sequence, three kinds of the application program to match with the user of user portrait illustrate；Those skilled in the art can also will be with
There are the application program of dependence, the popular application journeys different from the Application Type of the first application program for one application program
Sequence, any two kinds in application program to match with the user of user portrait combine, and realize above-mentioned application program recommended method.
Referring to FIG. 6, it illustrates the method flow diagrams of application program recommended method provided by one embodiment of the present invention.
The present embodiment is applied to illustrate in application program recommender system shown in FIG. 1 in the authorization method.Such as Fig. 6 institute
Show, this method comprises:
In step 601, the user data of user is reported to server by client.
Client collects the user data of the user using terminal where client, and the user data being collected into is reported
To server.Optionally, client can several times to server report of user data, such as: when user user data occur
When variation, the user data of variation is reported into server.
Optionally, user data includes: the name of user, age, occupation, hobby, social information, online shopping information, online
At least one of the history usage record of record and application program, history usage record include the use note of the first application program
Record.First application program is in client by user has obtained or is obtaining application program.
Correspondingly, server receives the user data that client reports, and to client by way of big data is excavated
The user data reported is analyzed, and is established and is stored user's portrait corresponding to different user.
In step 602, user end to server sends the user identifier of user.
The step elaborates in the above-described embodiments, and which is not described herein again.
In step 603, user end to server sends the mark of the first application program.
The step elaborates in the above-described embodiments, and which is not described herein again.
It should be noted that above-mentioned steps 601 to step 603 execution sequence without limitation, step 601 and step 602
It can execute after step 603, the execution sequence of step 601 and step 602 can also exchange.
In step 604, server receives the user identifier for the user that client is sent
In step 605, server receives the mark for the first application program that client is sent.
In step 606, server obtains user corresponding to the user according to the user identifier of user and draws a portrait.
Optionally, user's portrait is analyzed according to the user data that client reports, and user's portrait includes: use
The name at family, the age, occupation, hobby, social information, online shopping information, in the history usage record of internet records and application program
At least one.
In step 607, server determines the application class of the first application program according to the mark of the first application program
Type.
In step 608, server will remove the application journey of the first application program in preset Application Type set
Other Program Types except sequence type are determined as candidate program type.
For example, the type in preset Application Type set include: tool, it is social activity, music, shopping, photography, new
News, financing, game, office, cuisines, patch, the Application Type of the first application program is music, shopping, then by tool, society
Friendship, photography, news, financing, game, office, cuisines, patch are as candidate program type.
In step 609, server is using the popular application program in every kind of candidate program type as candidate application program.
Optionally, server is using at least one application program in the popular application program in candidate program type as time
Select application program.For example, the highest conduct of user's download is candidate from the popular application program in each candidate program
Application program, it is assumed that obtain six candidate application programs for being belonging respectively to distinct program type, application program 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 application program and user's portrait.
Server obtains the first tally set corresponding with user's portrait.Assuming that getting the first mark corresponding with user's portrait
It includes three labels that label, which are concentrated, is respectively: youth, game, cuisines.
Server obtains corresponding second tally set of each candidate application program, then the first tally set and second are marked
Label collection carries out intersection operation, according to there are the quantity of the label of intersection to determine between each candidate application program and user's portrait
Matching degree.Assuming that above-mentioned application program A, application program B, application program C, application program D, application program E, application program F
It there are the quantity of intersection is respectively 2,3,3,1,0,0 with the first tally set.
In step 611, it in the application program that server conforms to a predetermined condition matcher, is deposited with the first application program
In the application program of application dependence, it is determined as the second application program.
Optionally, each candidate application program and the second application program are there are the quantity of the label of intersection is bigger, with first
The matching degree of application program is higher.
For example, using there are the most application programs of the quantity of intersection as matching degree meets predetermined item with the first tally set
The application program of part, then detect whether applying dependence with the first application program, if there is dependence is applied, then really
It is set to the second application program, by above-mentioned steps it is found that application program B and application program C are confirmed as the second application program.
In step 612, server recommends the second application program to client.
In step 613, client receives the second application program that server is recommended.
Optionally, client shows the second application program received in user interface to user.
The step has elaborated in the above-described embodiments, and which is not described herein again.
In conclusion application program recommended method provided in an embodiment of the present invention, the is sent by user end to server
The mark of one application program, server determine the second application program to be recommended according to the mark of the first application program, and to visitor
The second application program is recommended at family end, and client receives the second application program that server is recommended；It solves and is recommending application program
When, the actual demand that server is not based on user recommends application program, the installation conversion ratio of recommended application program to user
Not high problem；Reach the actual demand for making server application program recommended to the user be more in line with user, improves quilt
The downloading rate of the application program of recommendation and the effect of installation conversion ratio.
In addition, application program recommended method provided in an embodiment of the present invention, the application program of recommendation is both the use with user
Family is drawn a portrait the popular application program that matches, and the application program for having obtained or having obtained with user is there are dependence,
More targetedly it can recommend application program to user.
Following is apparatus of the present invention embodiment, can be used for executing embodiment of the present invention method.For apparatus of the present invention reality
Undisclosed details in example is applied, embodiment of the present invention method is please referred to.
Fig. 7 is please referred to, it illustrates the structural block diagrams for the application program recommendation apparatus that an embodiment of the present disclosure provides.
The position acquisition device can provide application program recommendation side as above-mentioned by being implemented in combination with for software, hardware or both
The all or part of the terminal of method method.The device includes:
First receiving module 710, the mark of the first application program for receiving client transmission, the first application program are
By user has obtained or is obtaining application program in client.
Determining module 720, for determining the second application program to be recommended according to the mark of the first application program.
Recommending module 730, for recommending the second application program to client.
In conclusion application program recommendation apparatus provided in an embodiment of the present invention, the is sent by user end to server
The mark of one application program, server determine the second application program to be recommended according to the mark of the first application program, and to visitor
The second application program is recommended at family end, and client receives the second application program that server is recommended；It solves and is recommending application program
When, the actual demand that server is not based on user recommends application program, the installation conversion ratio of recommended application program to user
Not high problem；Reach the actual demand for making server application program recommended to the user be more in line with user, improves quilt
The downloading rate of the application program of recommendation and the effect of installation conversion ratio.
Fig. 8 is please referred to, it illustrates the structure boxes for the application program recommendation apparatus that another embodiment of the disclosure provides
Figure.The position acquisition device can be pushed away by being implemented in combination with for software, hardware or both as the above-mentioned application program that can provide
Recommend all or part of the terminal of method method.The device includes:
First receiving module 810, the mark of the first application program for receiving client transmission, the first application program are
By user has obtained or is obtaining application program in client.
Determining module 820, for determining the second application program to be recommended according to the mark of the first application program.
Recommending module 830, for recommending the second application program to client.
Optionally, the second application program includes:
There is the application program using dependence with the first application program；
And/or
The popular application program different from the Application Type of the first application program, popular application program are user's downloadings
Amount is more than the application program of predetermined threshold；
And/or
The application program to match with user's portrait of user.
Optionally, determining module 820, comprising:
First determination unit 821, for application corresponding with the mark of the first application program in dependence table will to be applied
Program is determined as the second application program；
It wherein, include: the mark of the first application program and the application that the first application program is relied on using dependence table
Corresponding relationship between program.
Optionally, determining module 820, comprising:
Type determining units 822 determine the application program of the first application program for the mark according to the first application program
Type；
Program determination unit 823, for the application of the first application program will to be removed in preset Application Type set
Other Program Types except Program Type are determined as candidate program type；
Second determination unit 824, for being determined as the second application for the popular application program in every kind of candidate program type
Program.
Optionally, the device further include:
Second receiving module 840, the user identifier of the user for receiving client transmission；
Determining module 820, comprising:
Portrait determination unit 825 is drawn a portrait for obtaining user corresponding to the user according to the user identifier of user, Yong Huhua
It seem to be analyzed according to the user data that client reports, user's portrait includes: name, the age, occupation, love of user
At least one of good and history usage record of application program, history usage record include the use note of the first application program
Record；
Computing unit 826, for calculating the matching degree between each candidate application program and user's portrait；
Third determination unit 827, for determining the second application program in candidate application program according to matching degree.
Optionally, computing unit 826, comprising:
First obtains subelement 8261, for obtaining the first tally set corresponding with user's portrait；
Second obtains subelement 8262, for obtaining and corresponding second tally set of each candidate application program；
Intersection computation subunit 8263, for the first tally set and the second tally set to be carried out intersection operation, according to presence
The quantity of the label of intersection determines the matching degree between each candidate application program and user's portrait.
In conclusion application program recommendation apparatus provided in an embodiment of the present invention, the is sent by user end to server
The mark of one application program, server determine the second application program to be recommended according to the mark of the first application program, and to visitor
The second application program is recommended at family end, and client receives the second application program that server is recommended；It solves and is recommending application program
When, the actual demand that server is not based on user recommends application program, the installation conversion ratio of recommended application program to user
Not high problem；Reach the actual demand for making server application program recommended to the user be more in line with user, improves quilt
The downloading rate of the application program of recommendation and the effect of installation conversion ratio.
In addition, application program recommendation apparatus provided in an embodiment of the present invention, dependence table is applied by establishing, it will be with the
One application program, which exists, is determined as the second application program to be recommended using the application program of dependence, so that recommended answers
The application program for having been obtained or having been obtained with user with program is associated, helps to improve recommended application program
Downloading rate and installation conversion ratio.
In addition, application program recommendation apparatus provided in an embodiment of the present invention, by recommending and the first application program to user
The different application program of Application Type so that the function and the installed application program of user of the application program recommended
Function form complementation, the actual demand being more close to the users helps to improve the downloading rate and peace of recommended application program
Fill conversion ratio.
In addition, application program recommendation apparatus provided in an embodiment of the present invention, by according to user's portrait and subsequent applications journey
The matcher of sequence determines application program to be recommended, so that recommended application program is more in line with user characteristics and needs
It asks, helps to improve the downloading rate and installation conversion ratio of recommended application program.
Fig. 9 is please referred to, it illustrates the structure boxes for the application program recommendation apparatus that another embodiment of the disclosure provides
Figure.The position acquisition device can be pushed away by being implemented in combination with for software, hardware or both as the above-mentioned application program that can provide
Recommend all or part of the terminal of method method.The device includes:
First sending module 910, for sending the mark of the first application program to server, the first application program is client
By user has obtained or is obtaining application program in end；
Receiving module 920, for receiving the second application program of server recommendation, the second application program be server according to
The mark determination of first application program.
In conclusion application program recommendation apparatus provided in an embodiment of the present invention, the is sent by user end to server
The mark of one application program, server determine the second application program to be recommended according to the mark of the first application program, and to visitor
The second application program is recommended at family end, and client receives the second application program that server is recommended；It solves and is recommending application program
When, the actual demand that server is not based on user recommends application program, the installation conversion ratio of recommended application program to user
Not high problem；Reach the actual demand for making server application program recommended to the user be more in line with user, improves quilt
The downloading rate of the application program of recommendation and the effect of installation conversion ratio.
Figure 10 is please referred to, it illustrates the structure boxes for the application program recommendation apparatus that another embodiment of the disclosure provides
Figure.The position acquisition device can be pushed away by being implemented in combination with for software, hardware or both as the above-mentioned application program that can provide
Recommend all or part of the terminal of method method.The device includes:
First sending module 1010, for sending the mark of the first application program to server, the first application program is visitor
By user has obtained or is obtaining application program in the end of family；
Receiving module 1020, for receiving the second application program of server recommendation, the second application program is server root
Determining according to the mark of the first application program.
Optionally, the second application program includes:
There is the application program using dependence with the first application program；
And/or
The popular application program different from the Application Type of the first application program, popular application program are user's downloadings
Amount is more than the application program of predetermined threshold；
And/or
The application program to match with user's portrait of user.
Optionally, the device further include:
Uploading module 1030, for the user data of user to be reported to server, user data includes: the surname of user
At least one of name, age, occupation, hobby and history usage record of application program, history usage record are answered including first
With the usage record of program；
Second sending module 1040, for sending the user identifier of user to server.
In conclusion application program recommendation apparatus provided in an embodiment of the present invention, the is sent by user end to server
The mark of one application program, server determine the second application program to be recommended according to the mark of the first application program, and to visitor
The second application program is recommended at family end, and client receives the second application program that server is recommended；It solves and is recommending application program
When, the actual demand that server is not based on user recommends application program, the installation conversion ratio of recommended application program to user
Not high problem；Reach the actual demand for making server application program recommended to the user be more in line with user, improves quilt
The downloading rate of the application program of recommendation and the effect of installation conversion ratio.
It should be understood that application program recommendation apparatus provided by the above embodiment is when recommending application program, only more than
The division progress of each functional module is stated for example, can according to need and in practical application by above-mentioned function distribution by difference
Functional module complete, i.e., the internal structure of equipment is divided into different functional modules, with complete it is described above whole or
Person's partial function.In addition, application program recommendation apparatus provided by the above embodiment belongs to application program recommended method embodiment
Same design, specific implementation process are detailed in embodiment of the method, and which is not described herein again.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Those of ordinary skill in the art will appreciate that realizing that all or part of the steps of above-described embodiment can pass through hardware
It completes, relevant hardware can also be instructed to complete by program, the application program can store in a kind of computer
In readable storage medium storing program for executing, storage medium mentioned above can be read-only memory, disk or CD etc..
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (17)
1. a kind of application program recommended method, which is characterized in that the described method includes:
Receive client send the first application program mark, first application program be in the client by user
Application program through obtaining or obtaining；
Receive the user identifier for the user that the client is sent；
Determine the second application program to be recommended according to the mark of first application program, second application program include with
The application program that user's portrait of the user matches；
Recommend second application program to the client；
It is wherein, described that second application program to be recommended is determined according to the mark of first application program, comprising:
User's portrait corresponding with the user is obtained according to the user identifier of the user, user's portrait is according to
What the user data that client reports obtained, user's portrait includes: the name of the user, at the age, occupation, likes and answer
With at least one of the history usage record of program, the history usage record includes the use note of first application program
Record；
Calculate the matching degree between each candidate application program and user portrait；
Second application program is determined in the candidate application program according to the matching degree.
2. the method according to claim 1, wherein second application program further include:
There is the application program using dependence with first application program；
And/or
The popular application program different from the Application Type of first application program, the popular application program is user
Download is more than the application program of predetermined threshold.
3. according to the method described in claim 2, it is characterized in that, it is described according to the mark of first application program determine to
The second application program recommended, comprising:
By application program corresponding with the mark of first application program in application dependence table, it is determined as described second and answers
Use program；
Wherein, it is described using dependence table include: first application program mark and first application program institute according to
Corresponding relationship between bad application program.
4. according to the method described in claim 2, it is characterized in that, it is described according to the mark of first application program determine to
The second application program recommended, comprising:
The Application Type of first application program is determined according to the mark of first application program；
In preset Application Type set, by other journeys in addition to the Application Type of first application program
Sequence type is determined as candidate program type；
By the popular application program in every kind of candidate program type, it is determined as second application program.
5. the method according to claim 1, wherein described calculate each candidate application program and user picture
Matching degree as between, comprising:
Obtain the first tally set corresponding with user portrait；
It obtains and corresponding second tally set of each candidate application program；
First tally set and second tally set are subjected to intersection operation, according to there are the quantity of the label of intersection to determine
Matching degree between each candidate application program and user portrait.
6. a kind of application program recommended method, which is characterized in that the described method includes:
Send the mark of the first application program to server, first application program be obtained in client by user or
The application program obtained；
The user data of the user is reported into the server, the user data includes: the name of the user, year
At least one of age, occupation, hobby and history usage record of application program, the history usage record includes described first
The usage record of application program；
The user identifier of the user is sent to the server；
The second application program that the server is recommended is received, second application program is the server according to described first
The mark determination of application program, second application program includes that the server is obtained according to the user identifier of the user
User's portrait corresponding with the user calculates the matching degree between each candidate application program and user portrait, and
According to the application program that the matching degree is determined in the candidate application program, user's portrait is according to the use
What user data obtained.
7. according to the method described in claim 6, it is characterized in that, second application program further include:
There is the application program using dependence with first application program；
And/or
The popular application program different from the Application Type of first application program, the popular application program is user
Download is more than the application program of predetermined threshold.
8. a kind of application program recommendation apparatus, which is characterized in that described device includes:
First receiving module, the mark of the first application program for receiving client transmission, first application program is institute
It states in client by user has obtained or is obtaining application program；
Determining module, for determining the second application program to be recommended according to identifying for first application program, described second
Application program includes the application program to match of drawing a portrait with the user of the user；
Recommending module, for recommending second application program to the client；
Described device, further includes:
Second receiving module, for receiving the user identifier for the user that the client is sent；
The determining module, comprising:
Portrait determination unit is drawn a portrait for obtaining user corresponding with the user according to the user identifier of the user, described
User draws a portrait, and the user data for being to report according to the client is obtained, and user's portrait includes: the surname of the user
At least one of name, age, occupation, hobby and history usage record of application program, the history usage record includes institute
State the usage record of the first application program；
Computing unit, for calculating the matching degree between each candidate application program and user portrait；
Third determination unit, for determining that described second applies journey in the candidate application program according to the matching degree
Sequence.
9. device according to claim 8, which is characterized in that second application program further include:
There is the application program using dependence with first application program；
And/or
The popular application program different from the Application Type of first application program, the popular application program is user
Download is more than the application program of predetermined threshold.
10. device according to claim 9, which is characterized in that the determining module, comprising:
First determination unit, it is corresponding with the mark of first application program using journey in dependence table for that will apply
Sequence is determined as second application program；
Wherein, it is described using dependence table include: first application program mark and first application program institute according to
Corresponding relationship between bad application program.
11. device according to claim 9, which is characterized in that the determining module, comprising:
Type determining units determine the application program of first application program for the mark according to first application program
Type；
Program determination unit, for the application journey of first application program will to be removed in preset Application Type set
Other Program Types except sequence type are determined as candidate program type；
Second determination unit, for being determined as described for the popular application program in every kind of candidate program type
Two application programs.
12. device according to claim 8, which is characterized in that the computing unit, comprising:
First obtains subelement, for obtaining the first tally set corresponding with user portrait；
Second obtains subelement, for obtaining and corresponding second tally set of each candidate application program；
Intersection computation subunit, for first tally set and second tally set to be carried out intersection operation, according to presence
The quantity of the label of intersection determines the matching degree between each candidate application program and user portrait.
13. a kind of application program recommendation apparatus, which is characterized in that described device includes:
First sending module, for sending the mark of the first application program to server, first application program is client
It is middle by user has obtained or is obtaining application program；
Uploading module, for the user data of the user to be reported to the server, the user data includes: the use
At least one of name, age, occupation, hobby and the history usage record of application program at family, the history usage record
Usage record including first application program；
Second sending module, for sending the user identifier of the user to the server；
Receiving module, the second application program recommended for receiving the server, second application program is the service
Device is according to the mark of first application program determining, and second application program includes the server according to the user
User identifier obtain corresponding with user user portrait, calculate each candidate application program and between the user draws a portrait
Matching degree, and the application program determined in the candidate application program according to the matching degree, the user draw
It seem to be obtained according to the user data.
14. device according to claim 13, which is characterized in that second application program further include:
There is the application program using dependence with first application program；
And/or
The popular application program different from the Application Type of first application program, the popular application program is user
Download is more than the application program of predetermined threshold.
15. a kind of application program recommender system, which is characterized in that the system also includes: server and terminal；
The server, including the device as described in claim 8 to 12 is any；
The terminal, including the device as described in claim 13 or 14 is any.
16. a kind of computer readable storage medium, which is characterized in that it is stored with program in the computer readable storage medium,
Described program is used to instruct any application program recommended method of hardware realization such as the claims 1 to 5.
17. a kind of computer readable storage medium, which is characterized in that it is stored with program in the computer readable storage medium,
Described program is for instructing application program recommended method of the hardware realization as described in the claims 6 or 7.
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| CN106943747B (en) * | 2017-03-27 | 2021-02-12 | 网易（杭州）网络有限公司 | Virtual role name recommendation method and device, electronic equipment and storage medium |
| CN108279961B (en) * | 2017-04-11 | 2021-08-03 | 阿里巴巴（中国）有限公司 | Application program popularization method and device and server |
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| CN109766351A (en) * | 2018-12-29 | 2019-05-17 | 努比亚技术有限公司 | Correlating method, terminal and the readable storage medium storing program for executing of associated video |
| CN111666483B (en) * | 2019-03-06 | 2023-09-22 | 北京柏林互动科技有限公司 | Application program recommendation method and device, electronic equipment and readable storage medium |
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| 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 |
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