CN106250546A

CN106250546A - Application recommendation method, device and server

Info

Publication number: CN106250546A
Application number: CN201610654324.6A
Authority: CN
Inventors: 黄振
Original assignee: Guangzhou Youshi Network Technology Co Ltd
Current assignee: Guangzhou Youshi Network Technology Co Ltd
Priority date: 2016-08-10
Filing date: 2016-08-10
Publication date: 2016-12-21

Abstract

The embodiment of the present invention provides one application recommendation method, device and server, and described method includes: obtain the list of application of each user and each user region described；List of application according to each user described and each user region described, calculate the unique desired value that in regional, each application is corresponding respectively；It is that each region determines application to be recommended based on the unique desired value of each application in described regional.Described method can be screened the application that each region is most unique, it is achieved personalized recommendation based on geographical position, more meet the demand of user in the case of need not manual intervention automatically, effectively.

Description

Application recommendation method, device and server

Technical field

The present invention relates to Internet technical field, in particular to one application recommendation method, device and server.

Background technology

Along with developing rapidly of mobile terminal technology and network technology, increasing user selects at mobile phone or flat board electricity Downloading application software on the mobile terminals such as brain, various aim at the application that mobile phone users makes and obtains platform, such as, apply business Also arise at the historic moment in shop.

At present, the method download typically by the calculating each application in whole shop of application is recommended in application shop, and Carrying out application sequence by download, then user is recommended in forward application of sorting, i.e. based on ranking list application is recommended.But Be this method be each user recommend application be just as, it is not necessary to being that user really wants, Consumer's Experience is poor.

Summary of the invention

In view of this, the purpose of the embodiment of the present invention is to provide a kind of application recommendation method, device and server, to solve Certainly the problems referred to above.

To achieve these goals, the technical scheme that the embodiment of the present invention uses is as follows:

First aspect, embodiments provides a kind of application recommendation method, and described method includes: obtain each user List of application and each user region described；List of application according to each user described and each user described Region, calculates the unique desired value that in regional, each application is corresponding respectively；Based in described regional each The unique desired value of application is that each region determines application to be recommended.

Second aspect, embodiments provides a kind of application recommendation apparatus, and described device includes: first obtains mould Block, for obtaining the list of application of each user and each user region described；Computing module, for according to described respectively The list of application of individual user and each user region described, calculate the uniqueness that in regional, each application is corresponding respectively Property desired value；Determining module, being used for based on unique desired value of each application in described regional is that each region determines Application to be recommended

The third aspect, embodiments provides a kind of server, and described server includes memorizer and processor, institute State memorizer and be couple to described processor, described memory store instruction, make institute when executed by the processor State below processor execution to operate: the first acquisition module, for obtaining the list of application of each user and each user described Region；Computing module, for the list of application according to each user described and each user region described, respectively Calculate the unique desired value that in regional, each application is corresponding；Determine module, for based in described regional each The unique desired value of application is that each region determines application to be recommended

Compared with prior art, a kind of application recommendation method, device and the server that the embodiment of the present invention provides, by meter Calculate the unique desired value that in regional, each application is corresponding, according to the ranking results of unique desired value, the most each The application of regional choice predetermined number is applied as the recommendation that each region is corresponding, such that it is able to by obtaining user institute to be recommended In region, return, to the user terminal of described user to be recommended, the recommendation application that described user region to be recommended is corresponding.This The mode of kind can screen, in the case of need not manual intervention, the application that each region is most unique automatically, effectively, it is achieved Personalized recommendation based on geographical position, more meets the demand of user.

For making the above-mentioned purpose of the present invention, feature and advantage to become apparent, preferred embodiment cited below particularly, and coordinate Appended accompanying drawing, is described in detail below.

Accompanying drawing explanation

In order to be illustrated more clearly that the technical scheme of the embodiment of the present invention, below by embodiment required use attached Figure is briefly described, it will be appreciated that the following drawings illustrate only certain embodiments of the present invention, and it is right to be therefore not construed as The restriction of scope, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to according to this A little accompanying drawings obtain other relevant accompanying drawings.

Fig. 1 is the schematic diagram that the user terminal that the embodiment of the present invention provides interacts with server.

Fig. 2 is the structural representation of the server that the embodiment of the present invention provides.

Fig. 3 is the flow chart that method is recommended in a kind of application that the embodiment of the present invention provides.

Fig. 4 is the detail flowchart of step S500 in a kind of application recommendation method that the embodiment of the present invention provides.

Fig. 5 is the detail flowchart that step S600 of method is recommended in a kind of application that the embodiment of the present invention provides.

Fig. 6 is the detail flowchart that step S620 of method is recommended in a kind of application that the embodiment of the present invention provides.

Fig. 7 is the partial process view that method is recommended in a kind of application that the embodiment of the present invention provides.

Fig. 8 is a kind of structured flowchart applying recommendation apparatus that the embodiment of the present invention provides.

Detailed description of the invention

Below in conjunction with accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Ground describes, it is clear that described embodiment is only a part of embodiment of the present invention rather than whole embodiments.Generally exist Can arrange and design with various different configurations with the assembly of the embodiment of the present invention that illustrates described in accompanying drawing herein.Cause This, be not intended to limit claimed invention to the detailed description of the embodiments of the invention provided in the accompanying drawings below Scope, but it is merely representative of the selected embodiment of the present invention.Based on embodiments of the invention, those skilled in the art are not doing The every other embodiment obtained on the premise of going out creative work, broadly falls into the scope of protection of the invention.

It should also be noted that similar label and letter represent similar terms, therefore, the most a certain Xiang Yi in following accompanying drawing Individual accompanying drawing is defined, then need not it be defined further and explains in accompanying drawing subsequently.Meanwhile, the present invention's In description, term " first ", " second " etc. are only used for distinguishing and describe, and it is not intended that indicate or hint relative importance.

Fig. 1 shows the schematic diagram that the server 200 that the embodiment of the present invention provides interacts with user terminal 100.Institute State server 200 to be communicatively coupled with one or more user terminals 100 by network 300, to carry out data communication or friendship Mutually.Described server 200 can be the webserver, database server etc..Described user terminal 100 can be PC (personal computer, PC), panel computer, smart mobile phone, personal digital assistant (personal digital Assistant, PDA), mobile unit, wearable device etc..

As in figure 2 it is shown, be the block diagram of described server 200.Described server 200 includes memorizer 201, processes Device 202 and mixed-media network modules mixed-media 203.

Memorizer 201 can be used for storing software program and module, as the application in the embodiment of the present invention recommend method and Programmed instruction/module that device is corresponding, processor 202 is stored in the software program in memorizer 201 and module by operation, Thus perform the application of various function and data process, i.e. realize the application in the embodiment of the present invention and recommend method.Memorizer 201 High speed random access memory can be included, may also include nonvolatile memory, as one or more magnetic storage device, flash memory, Or other non-volatile solid state memories.Further, the software program in above-mentioned memorizer 201 and module also can be wrapped Include: operating system 221 and service module 222.Wherein operating system 221, such as, can be LINUX, UNIX, WINDOWS, and it can Including the various component softwares for managing system task (such as memory management, storage device control, power management etc.) and/or Drive, and can communication mutual with various hardware or component software, thus provide the running environment of other component softwares.Service module On the basis of 222 operate in operating system 221, and monitor the request of automatic network by the network service of operating system 221, root Complete corresponding data according to request to process, and return result to client.It is to say, service module 222 is for visitor Family end provides network service.

Mixed-media network modules mixed-media 203 is used for receiving and sending network signal.Above-mentioned network signal can include wireless signal or have Line signal.

Be appreciated that the structure shown in Fig. 2 be only signal, described server 200 may also include more more than shown in Fig. 2 or The assembly that person is less, or there is the configuration different from shown in Fig. 2.Each assembly shown in Fig. 2 can use hardware, software or A combination thereof realizes.It addition, the server in the embodiment of the present invention can also include the server of multiple concrete difference in functionality.

In the embodiment of the present invention, being provided with client in user terminal 100, this client can be that third-party application is soft Part, holds corresponding with server (Server), jointly follows same set of data protocol so that service end can be mutual with client Parse the data of the other side, provide the user application special recommendation service.

Fig. 3 shows that the flow chart of method is recommended in a kind of application that the embodiment of the present invention provides, and refers to Fig. 3, this enforcement What example described is the handling process of server, and described method includes:

Step S400, obtains the list of application of each user and each user region described.

Wherein, the implementation of the list of application of user can have multiple, and classification is downloaded in such as application, row are installed in application Table, application browsing list or application update list, but are not limited to described embodiment.The list of application of user is permissible Record is in user journal.User region can be the city at user place, it is also possible to be the province etc. at user place.With The region at place, family can obtain by obtaining the positional information of the user terminal of user.

For example, it is possible to list is installed in the application first collecting user's nearest a period of time from user journal, the most recently List is installed in the application of a week or nearest month, it is preferred that therefrom removal system pre-installation can apply, obtain user certainly The application that definition is installed is as the operation list of application of user.Then by obtaining the positional information acquisition of the user terminal of user User is currently located city, obtains user, city, application tlv triple, as shown in table 1.

Table 1

Step S500, according to list of application and each user region described of each user described, calculates respectively The unique desired value that in regional, each application is corresponding.

Wherein, according to list of application and each user region described of each user described, each is calculated respectively In region, the embodiment of the unique desired value that each application is corresponding can have multiple, and one of which embodiment party is described below Formula, but it is understood that, it is not limited to this embodiment.

Referring to Fig. 4, step S500 may include that

Step S510, according to number of users of each application in regional and each apply in all regions average Number of users, calculates each respectively and applies the standard deviation in all regions.

Wherein it is possible to list of application and each user region according to each user calculate, calculate respectively The number of users of each application in regional.

For example, it is assumed that get the list of application of each user and each user region described is as shown in table 2 below:

Table 2

User	City	Application name
			A	Guangzhou	Application 1
A	Guangzhou	Application 2
			B	Guangzhou	Application 1
B	Guangzhou	Application 3
			C	Beijing	Application 1
C	Beijing	Application 3

Use u_i,jRepresenting the number of users of each application in regional, wherein i represents that city, j represent application.Then the taking of i Value is (Guangzhou, Beijing), and the value of j is (application 1, applies 2, applies 3).Then in regional each application number of users such as Under:

U (Guangzhou applies 1)=2；

U (Guangzhou applies 2)=1；

U (Guangzhou applies 3)=1；

U (Beijing applies 1)=1；

U (Beijing applies 2)=0；

U (Beijing applies 3)=1.

Then, calculate each respectively and apply the average user number in all regions.

If the number of users of each application is u in regional_i,j, wherein i represents that city, j represent application, then each application Average user number in all regions is:Wherein N is areal.

Connecting example, now N=2, respectively Guangzhou and Beijing, the value of i is (Guangzhou, Beijing), and the value of j is (application 1, apply 2, apply 3), then each applies the average user number in all regions as follows:

Application 1=u (Guangzhou applies 1)+u (Beijing applies 1)=2+1=3；

Application 2=u (Guangzhou applies 2)+u (Beijing applies 2)=1+0=1；

Application 2=u (Guangzhou applies 3)+u (Beijing applies 3)=1+1=2.

When calculating in regional number of users of each application and each applies the average user in all regions Number, can calculate each according to equation below and apply the standard deviation in all regions:

σ_{j} = \sqrt{\frac{1}{N} \underset{i}{Σ} (u_{i, j} - μ_{j})}

Wherein, u_i,jFor the number of users of each application in regional, i represents that city, j represent that application, σ i apply each Average user number in all regions, N is areal.

Step S520, applies in all regions according to number of users and described each of each application in described regional Standard deviation, calculate the unique desired value that each application is corresponding in regional respectively.

Preferably, the unique desired value that in described regional, each application is corresponding is that in described regional, each should Number of users apply the ratio of the standard deviation in all regions with described each.The most described unique desired value can be according to such as Lower formula calculates:

S_{i, j} = \frac{u_{i, j}}{σ_{j}}

Wherein, u_i,jFor the number of users of each application in regional, i represents that city, j represent that application, σ i are each application Standard deviation in all regions.

It is understood that a number of users distribution applied in each city, it is approximated to Gauss distribution, such as following formula:

f (x) = \frac{1}{\sqrt{2 π} σ} \exp (- \frac{{(x - μ)}^{2}}{2 σ^{2}})

In Gauss distribution, the standard deviation sigma of this distribution reflects the intensity of distribution, i.e. distribution and more concentrates, and σ is the least.Cause This, unique indexFor same city, the value of S is the biggest, illustrates that this application is unique.This city i.e. is used The application that family is the most frequently used, is also the unique application in this city.

Refer to Fig. 3, after execution of step S500, continue executing with step S600.

Based on the unique desired value of each application in described regional, step S600, is that each region determines to be recommended Application.

As a kind of embodiment, referring to Fig. 5, described step S600 may include that

Step S610, is ranked up each application in regional according to unique desired value, obtains each region Application Candidate Set to be recommended.

To city i, by the unique index S of its all application j_i,jAccording to descending sort, choose sequence in regional and lean on Front front K application recommends application as each region correspondence.

For example, it is assumed that by after in regional, each application is ranked up according to unique desired value, obtain such as table 3 below institute Show:

Table 3

Assuming that the first predetermined number is 3, the application of the most each regional choice 3 is as corresponding the treating in each region Recommending set of applications, the set of applications to be recommended in the most each region is as shown in table 4 below:

Table 4

City	Application name	Unique index
			Guangzhou	Application 1	1.00294399261
Guangzhou	Application 2	1.00283753872
			Guangzhou	Application 3	1.00281596184
Beijing	Application 2	1.00267326832
			Beijing	Application 3	1.00266420841
Beijing	Application 4	1.00261163712

Step S620, determines the application to be recommended in each region from the application Candidate Set to be recommended in described each region.

Preferably, referring to Fig. 6, described step S620 may include that

Step S621, calculates the number of users that in the set of applications to be recommended that described each region is corresponding, each application is corresponding.

Can install/download the daily record data of application based on user, calculate the installation/download user of each application Number；The application of the set of applications to be recommended to each region is associated with the installation/download number of users of described each application, Data after associating, as shown in table 5 below:

Table 5

Step S622, arranges applying in set of applications to be recommended corresponding for described each region according to number of users respectively Sequence, obtains the application to be recommended in each region.

Descending sort can be carried out according to number of users, choosing by set of applications to be recommended corresponding for described each region is applied Take forward front second of sorting in regional and preset an application as the recommendation application of each region correspondence.Wherein, second preset Number can be less than or equal to the first predetermined number.

Connect example, after rearrangement, obtain each region correspondence and recommend list of application as shown in table 6 below:

Table 6

City	Application name	Recommend sequence
			Guangzhou	Application 3	1
Guangzhou	Application 1	2
			Guangzhou	Application 2	3
Beijing	Application 4	1
			Beijing	Application 3	2
Beijing	Application 2	3

If the second predetermined number is 2, then the application that the user to Guangzhou recommends is application 3 and application 2, to Pekinese user Recommend for application 4 and application 3.

It is understood that after each regional choice is gone out the recommendation application of correspondence, can be respectively to zones of different user Recommending different application, therefore, refer to Fig. 7, after step S600, described method can also comprise the following steps:

Step S700, obtains user region to be recommended；

Step S800, inquires about the recommendation application that described user region to be recommended is corresponding；

Step S900, returns corresponding the pushing away in described user region to be recommended to the user terminal of described user to be recommended Recommend application.

A kind of application recommendation method of embodiment of the present invention offer, by calculating in regional, each applies the only of correspondence Characteristic index value, according to the ranking results of unique desired value, the application of the most each regional choice predetermined number is as often The recommendation application that individual region is corresponding, such that it is able to by obtaining user region to be recommended, to the use of described user to be recommended Family terminal returns the recommendation application that described user region to be recommended is corresponding.This mode can need not manual intervention In the case of, automatically, effectively screen the application that each region is most unique, it is achieved personalized recommendation based on geographical position, from And strengthen the big data perception dynamics of product, additionally, because the application recommended combines the geographical position at user place, so energy Enough increase user's downloads to a certain extent.Further, further, then after sorting according to unique desired value, further according to treating Recommend set of applications is applied to be ranked up according to number of users, the application conduct of the most each regional choice the second predetermined number The recommendation application that each region is corresponding.This mode is carried out respectively by number of users both indexs of unique index and application The screening recommending application in individual region so that recommendation application corresponding to each region of finally selecting is more accurate.

Refer to Fig. 8, be the high-level schematic functional block diagram of the application recommendation apparatus 210 that the embodiment of the present invention provides.Described should Include the first acquisition module 211, computing module 212 with recommendation apparatus 210, determine module 213.

Described first acquisition module 211, for obtaining the list of application of each user and each user location described Territory.

Described computing module 212, for the list of application according to each user described and each user location described Territory, calculates the unique desired value that in regional, each application is corresponding respectively.

Preferably, described computing module 212 includes the first calculating sub module 2121 and the second calculating sub module 2122.Its In, described first calculating sub module 2121, for according in regional each application number of users and each apply in institute There is the average user number in region, calculate each respectively and apply the standard deviation in all regions；Described second calculating sub module 2122, for applying the standard in all regions according to number of users and described each of each application in described regional Difference, calculates the unique desired value that in regional, each application is corresponding respectively.

Wherein, the unique desired value that in regional, each application is corresponding is the use of each application in described regional Amount applies the ratio of the standard deviation in all regions with described each.

Described determine module 213, for being each district based on unique desired value of each application in described regional Territory determines application to be recommended.

Preferably, described determine that module 213 includes sorting sub-module 2131 and chooses submodule 2132.Wherein, described Sorting sub-module 2131, for each application in regional being ranked up according to unique desired value, obtains each region Application Candidate Set to be recommended；Described choose submodule 2132, for from the application Candidate Set to be recommended in described each region Determine the application to be recommended in each region.

Preferably, submodule 2132 is chosen, specifically for the application collection to be recommended that the described each region of calculating is corresponding described in The number of users that in conjunction, each application is corresponding；Set of applications to be recommended corresponding for described each region will be applied according to user respectively Number is ranked up, and obtains the application to be recommended in each region.

Preferably, described device also includes the second acquisition module 214, enquiry module 215 and return module 216.Wherein, Described second acquisition module 214, is used for obtaining user region to be recommended；Described enquiry module 215, be used for inquiring about described in treat Recommend the recommendation application that user region is corresponding；Described return module 216, for the user terminal of described user to be recommended Return the recommendation application that described user region to be recommended is corresponding.

The most each module can be by software code realization, and now, above-mentioned each module can be stored in depositing of server 200 In reservoir 201.The most each module is equally realized by hardware such as IC chip.

It should be noted that each embodiment in this specification all uses the mode gone forward one by one to describe, each embodiment weight Point explanation is all the difference with other embodiments, and between each embodiment, identical similar part sees mutually.

The application recommendation apparatus that the embodiment of the present invention is provided, it realizes principle and the technique effect of generation and preceding method Embodiment is identical, for briefly describing, and the not mentioned part of device embodiment part, refer in preceding method embodiment corresponding interior Hold.

In several embodiments provided herein, it should be understood that disclosed apparatus and method, it is also possible to pass through Other mode realizes.Device embodiment described above is only schematically, such as, and the flow chart in accompanying drawing and block diagram Show the device of multiple embodiments according to the present invention, the architectural framework in the cards of method and computer program product, Function and operation.In this, each square frame in flow chart or block diagram can represent a module, program segment or the one of code Part, a part for described module, program segment or code comprises holding of one or more logic function for realizing regulation Row instruction.It should also be noted that at some as in the implementation replaced, the function marked in square frame can also be to be different from The order marked in accompanying drawing occurs.Such as, two continuous print square frames can essentially perform substantially in parallel, and they are the most also Can perform in the opposite order, this is depending on involved function.It is also noted that every in block diagram and/or flow chart The combination of the square frame in individual square frame and block diagram and/or flow chart, can be with function or the special base of action performing regulation System in hardware realizes, or can realize with the combination of specialized hardware with computer instruction.

It addition, each functional module in each embodiment of the present invention can integrate one independent portion of formation Point, it is also possible to it is modules individualism, it is also possible to two or more modules are integrated to form an independent part.

If described function is using the form realization of software function module and as independent production marketing or use, permissible It is stored in a computer read/write memory medium.Based on such understanding, technical scheme is the most in other words The part contributing prior art or the part of this technical scheme can embody with the form of software product, this meter Calculation machine software product is stored in a storage medium, including some instructions with so that a computer equipment (can be individual People's computer, server, or the network equipment etc.) perform all or part of step of method described in each embodiment of the present invention. And aforesaid storage medium includes: USB flash disk, portable hard drive, read only memory (ROM, Read-Only Memory), random access memory The various media that can store program code such as memorizer (RAM, Random Access Memory), magnetic disc or CD.Need Being noted that in this article, the relational terms of such as first and second or the like is used merely to an entity or operation Separate with another entity or operating space, and exist any this between not necessarily requiring or imply these entities or operating Actual relation or order.And, term " includes ", " comprising " or its any other variant are intended to nonexcludability Comprise, so that include that the process of a series of key element, method, article or equipment not only include those key elements, but also wrap Include other key elements being not expressly set out, or also include want intrinsic for this process, method, article or equipment Element.In the case of there is no more restriction, statement " including ... " key element limited, it is not excluded that including described wanting Process, method, article or the equipment of element there is also other identical element.

The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for the skill of this area For art personnel, the present invention can have various modifications and variations.All within the spirit and principles in the present invention, that is made any repaiies Change, equivalent, improvement etc., should be included within the scope of the present invention.It should also be noted that similar label and letter exist Figure below represents similar terms, therefore, the most a certain Xiang Yi accompanying drawing is defined, is then not required in accompanying drawing subsequently It is defined further and explains.

The above, the only detailed description of the invention of the present invention, but protection scope of the present invention is not limited thereto, and any Those familiar with the art, in the technical scope that the invention discloses, can readily occur in change or replace, should contain Cover within protection scope of the present invention.Therefore, protection scope of the present invention should described be as the criterion with scope of the claims.

Claims

1. an application recommendation method, it is characterised in that described method includes:

Obtain the list of application of each user and each user region described；

List of application according to each user described and each user region described, calculate in regional each respectively The unique desired value that application is corresponding；

It is that each region determines application to be recommended based on the unique desired value of each application in described regional.

Method the most according to claim 1, it is characterised in that the described list of application according to each user and described respectively Individual user region, calculates the unique desired value that in regional, each application is corresponding respectively, including:

According in regional each application number of users and each apply the average user number in all regions, count respectively Calculate each and apply the standard deviation in all regions；

The standard deviation in all regions is applied, respectively according to number of users and described each of each application in described regional Calculate the unique desired value that in regional, each application is corresponding.

Method the most according to claim 2, it is characterised in that described according in regional each application number of users with And each applies the average user number in all regions, calculate each respectively and apply the standard deviation in all regions, including:

The unique desired value that in described regional, each application is corresponding is the number of users of each application in described regional The ratio of the standard deviation in all regions is applied with described each.

Method the most according to claim 1, it is characterised in that described based on the uniqueness of each application in described regional Property desired value is that each region determines application to be recommended, including:

Each application in regional is ranked up according to unique desired value, obtains the application candidate to be recommended in each region Collection；

The application to be recommended in each region is determined from the application Candidate Set to be recommended in described each region.

Method the most according to claim 4, it is characterised in that determine each region from described application Candidate Set to be recommended Application to be recommended, including:

Calculate the number of users that in the set of applications to be recommended that described each region is corresponding, each application is corresponding；

It is ranked up set of applications to be recommended corresponding for described each region is applied according to number of users respectively, obtains each district The application to be recommended in territory.

Method the most according to claim 1, it is characterised in that described method also includes:

Obtain user region to be recommended；

Inquire about the recommendation application that described user region to be recommended is corresponding；

The recommendation application that described user region to be recommended is corresponding is returned to the user terminal of described user to be recommended.

7. an application recommendation apparatus, it is characterised in that described device includes:

First acquisition module, for obtaining the list of application of each user and each user region described；

Computing module, for the list of application according to each user described and each user region described, calculates respectively The unique desired value that in regional, each application is corresponding；

Determine module, to be recommended for being that each region determines based on the unique desired value of each application in described regional Application.

Device the most according to claim 7, it is characterised in that computing module includes the first calculating sub module and the second meter Operator module,

Described first calculating sub module, for according in regional each application number of users and each apply in all districts Average user number in territory, calculates each respectively and applies the standard deviation in all regions；

Described second calculating sub module, for applying according to number of users and described each of each application in described regional In the standard deviation in all regions, calculate the unique desired value that in regional, each application is corresponding respectively.

Device the most according to claim 8, it is characterised in that the uniqueness that in described regional, each application is corresponding refers to Scale value is that in described regional, number of users of each application applies the ratio of the standard deviation in all regions with described each.

Device the most according to claim 7, it is characterised in that described determine that module includes sorting sub-module, and choose Submodule,

Described sorting sub-module, for each application in regional being ranked up according to unique desired value, obtains each The application Candidate Set to be recommended in region；

Described choose submodule, for determining the to be recommended of each region from the application Candidate Set to be recommended in described each region Application.

11. devices according to claim 10, it is characterised in that described in choose submodule, specifically for calculate described often The number of users that in the set of applications to be recommended that individual region is corresponding, each application is corresponding；Respectively corresponding for described each region waiting is pushed away Recommend set of applications is applied and be ranked up according to number of users, obtain the application to be recommended in each region.

12. devices according to claim 7, it is characterised in that described device also includes the second acquisition module, enquiry module And return module,

Described second acquisition module, is used for obtaining user region to be recommended；

Described enquiry module, for inquiring about the recommendation application that described user region to be recommended is corresponding；

Described return module, corresponding for returning to described user region to be recommended to the user terminal of described user to be recommended Recommendation application.

13. 1 kinds of servers, it is characterised in that described server includes that memorizer and processor, described memorizer are couple to institute State processor, described memory store instruction, make below described processor execution when executed by the processor Operation:

Obtain the list of application of each user and each user region described；