CN104504140B - The sorting technique and device of terminal desktop icon - Google Patents
The sorting technique and device of terminal desktop icon Download PDFInfo
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- CN104504140B CN104504140B CN201510002303.1A CN201510002303A CN104504140B CN 104504140 B CN104504140 B CN 104504140B CN 201510002303 A CN201510002303 A CN 201510002303A CN 104504140 B CN104504140 B CN 104504140B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
- G06F3/04817—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance using icons
Abstract
The present invention relates to a kind of sorting technique of terminal desktop icon and device, wherein method includes：Receive the desktop icons classification request that UE is sent, the application name corresponding to classification each desktop icons of request bag containing UE；Sorted out according to icon classification set correspondence with program name, icon classification set is obtained according to following process：Gather the application program classification information in each network application shop, the correlation of the corresponding application name of application program class indication in each network application shop is determined, correlation is divided into a class more than the application program class indication in each network application shop of the first predetermined threshold value obtains icon classification set；Send to be classified according to icon and gather the categorizing information for corresponding to the application name after being sorted out with program name to UE, so that UE carries out taxonomic revision according to categorizing information to the corresponding desktop icons of application name, so as to realize the exact classification of user's desktop icons, effectively each application program of management user.
Description
Technical field
The present invention relates to the sorting technique and device in telecommunication technology field, more particularly to a kind of terminal desktop icon.
Background technology
With the popularization of intelligent terminal, whole terminal ecological environment is highly developed, wherein for terminal each should
It is the important ring in this ecological environment with program management.Each terminal user can install a number of application program,
Some users even can install hundred application programs, cause terminal desktop application icon mixed and disorderly, unordered.
The function type of the most application program according to as defined in operating system itself of desktop icons classification of the prior art
Divided, or desktop icons are included each classification, but above-mentioned side by the sort program provided according to third-party application shop
The classifying rules that method is based on is excessively unilateral, without comprehensive analysis, counts the general character of each application program, therefore terminal table
The classification results accuracy of face icon is not high.
The content of the invention
The present invention provides the sorting technique and device of a kind of terminal desktop icon, to realize precisely dividing for desktop icons
Class, so as to effectively manage the application program of user.
The present invention provides a kind of sorting technique of terminal desktop icon, including：
The desktop icons classification request that user equipment (UE) is sent is received, the classification request bag contains each desktop of the UE
Application name corresponding to icon；
The application name is sorted out according to icon classification set, the icon classification set is according to as follows
What process was obtained：The application program classification information in each network application shop is gathered, the application program classification information is included：Net
Network application store identification, the corresponding application program class indication of the network application store identification, each application program class indication
Corresponding application name；Determine the corresponding application name of application program class indication in each network application shop
Correlation, the application program class indication by correlation more than each network application shop of the first predetermined threshold value is divided into a class
Obtain the icon classification set；
Send it is described according to icon classify set the application name sorted out after application name
Categorizing information is to the UE, so that the UE is divided the corresponding desktop icons of application name according to the categorizing information
Class is arranged.
The present invention also provides a kind of sorter of terminal desktop icon, including：
Receiving module：Desktop icons classification request for receiving user equipment (UE) transmission, the classification request bag contains institute
State the application name corresponding to UE each desktop icons；
Classifying module：For being sorted out according to icon classification set to the application name, the icon classification
Set is obtained according to following process：Gather the application program classification information in each network application shop, the application program
Classification information is included：Network application store identification, the corresponding application program class indication of the network application store identification, respectively should
Corresponding application name is identified with class of procedures；Determine that the application program class indication in each network application shop is corresponding
The correlation of application name, the application program by correlation more than each network application shop of the first predetermined threshold value is classified
Mark is divided into a class and obtains the icon classification set；
Sending module：For send it is described according to icon classify set the application name is sorted out after answering
With the categorizing information of program name to the UE so that the UE according to the categorizing information to the corresponding table of application name
Face icon carries out taxonomic revision.
The sorting technique and device for the terminal desktop icon that the present invention is provided, by gathering answering for each network application shop
With program classification information, the phase of the corresponding application name of application program class indication in each network application shop is determined
Guan Xing, and application program class indication by correlation more than each network application shop of the first predetermined threshold value is divided into one
Class, so as to obtain icon classification set；Classify set to answering corresponding to user UE each desktop icons further according to the icon
Sorted out with program name, obtain UE application name categorizing information.So as to realize to the accurate of user's desktop icons
Classification, and then effectively manage each application program of user.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of the sorting technique embodiment one of terminal desktop icon of the present invention：
Fig. 2 is the schematic flow sheet of the sorting technique embodiment two of terminal desktop icon of the present invention；
Fig. 3 is the schematic flow sheet of the sorting technique embodiment three of terminal desktop icon of the present invention；
Fig. 4 is the schematic flow sheet of the sorting technique example IV of terminal desktop icon of the present invention；
Fig. 5 is the schematic flow sheet of the sorting technique embodiment five of terminal desktop icon of the present invention；
Fig. 6 is the schematic flow sheet of the sorting technique embodiment six of terminal desktop icon of the present invention；
Fig. 7 is the structural representation of the sorter embodiment one of terminal desktop icon of the present invention.
Embodiment
Fig. 1 is the schematic flow sheet of the sorting technique embodiment one of terminal desktop icon of the present invention.As shown in figure 1, this reality
Applying the method for example includes：
Step 101, the desktop icons classification request for receiving user equipment (UE) transmission, each table of the classification request bag containing UE
Application name corresponding to the icon of face.
Specifically, user equipment (UE) (User Equipment, referred to as：UE) can be the mobile phone of user, computer, intelligence eventually
End, multimedia equipment, stream media equipment etc..
Step 102, according to icon classification set correspondence sorted out with program name.
Specifically, a variety of classifying modes can be had by carrying out classification with program name according to icon classification set correspondence, at this
The method of classification is not restricted in implementation.
Wherein, icon classification set is specifically what is obtained according to following process：
The application program classification information in each network application shop is gathered, application program classification information is included：Network application
The corresponding application program class indication of store identification, network application store identification, the corresponding application of each application program class indication
Program name；The correlation of the corresponding application name of application program class indication in each network application shop is determined, will
Correlation is divided into a class more than the application program class indication in each network application shop of the first predetermined threshold value and obtains icon
Classification set.
Because each network application shop is had nothing in common with each other for the classification of different application, without that network application business
The application program classification in shop is that the accuracy of the application program classification in definitely accurate network application shop each in other words is not
Absolute.But each network application shop has a classification information, such as network application shop A1 to various application programs
Application program be categorized as a11, a12, a13, a14, a15, network application shop A2 application program is categorized as a21, a22,
A23, a24, network application shop A3 application program are categorized as a31, a32, a33.It is considered herein that for some particular user
For all application programs installed, the application program criteria for classification without which network application shop is definitely optimal point
The criteria for classification of class, only relative good.For the application program that some specific UE is installed, relatively optimal classification may
It is a11, a22, a33, it is also possible to a11, a12, a32 etc., so the present invention is by gathering answering for each network application shop
With program classification information, with the phase for the corresponding application name of application program class indication for determining each network application shop
Guan Xing, sets up the first predetermined threshold value, and the size of first predetermined threshold value influences the fine degree of application program criteria for classification, by phase
Closing property is divided into a class more than the application program class indication in each network application shop of the first predetermined threshold value, so as to obtain figure
Mark classification set.Wherein, the application program classification information for each network application shop A1, A2, A3 can be designated as：
A1:[a11,a12,a13,a14,a15......a1x]、A2:[a21,a22,a23,a24......a2x]、
A3:[a31,a32,a33......a3x]......An:[an1,an2,...,anx]。
The correlation between the corresponding application name of application program class indication for determining each network application shop
Property, a variety of determination modes can be obtained based on probability theory, in this embodiment to the application name in each network application shop
Between the determination method of correlation be not restricted.
The collection of the application program classification information in each network application shop can be by web crawler, regularly to row
The application program classification information in N network application shop is captured before name, by determining the correlation between application name,
Icon classification set is obtained, and then is sorted out according to icon classification set correspondence with program name.
Step 103, transmission are classified according to icon gathers the application name after correspondence is sorted out with program name
Categorizing information is to UE, so that UE carries out taxonomic revision according to categorizing information to the corresponding desktop icons of application name.
The sorting technique for the terminal desktop icon that the present embodiment is provided, by the application journey for gathering each network application shop
Sequence classification information, determines the correlation of the corresponding application name of application program class indication in each network application shop
Property, and correlation is divided into a class more than the application program class indication in each network application shop of the first predetermined threshold value,
So as to obtain icon classification set；Further according to icon classification set to the application journey corresponding to user UE each desktop icons
Sequence title is sorted out, and obtains UE application name categorizing information.So as to realize the exact classification to user's desktop icons,
And then effectively manage each application program of user.
Fig. 2 is the schematic flow sheet of the sorting technique embodiment two of terminal desktop icon of the present invention, this gives
The further acquisition process of step 102 icon classification set in above-described embodiment one, wherein, for determining each network application business
The step of correlation of the corresponding application name of application program class indication in shop, specifically include：
Average phase between step 1021, any application program class indication of calculating and other each application program class indications
Pass is worth, and average correlation value is same application domain title in the application name corresponding to two application program class indications
The ratio of quantity and the application name quantity sum corresponding to two application program class indications.
Specifically, the application program class indication in each network application shop corresponds to a number of application program,
If having certain applications program in network application shop A1 a11 class indications and network application shop A2 a21 class indications
Title is repeated, then is designated as：
A11 and a21 average correlation value：(a11∩a21)/(a11∪a21)
Step 1022, average correlation value more than the application program class indication of the first predetermined threshold value is classified as an icon point
Class set.
Specifically, by contrasting the average correlation between all classification in A1, A2 ..., each network application shop of An
Value, if the average correlation value of a11 class indications and a21 class indications is more than the first predetermined threshold value, by a11 class indications
It is classified as representing the icon classification set of same type application program with a21 class indications, for example, a11 and a21 average phase
Pass value is more than the first predetermined threshold value, then [a11, a21] is an icon classification set.If multiple application program class indications two
Average correlation value between two is both greater than the first predetermined threshold value, then these application program class indications is included into same icon point
In class set, each icon classification set is a unordered set, and the possessed application program classification of icon classification set
Mark number more at most represents multiple network application shops and all compares the classification for approving such application program, the first predetermined threshold value
Size can influence the fine degree of application program criteria for classification, and the threshold value can be by engineers and technicians' sets itself, the application
This is not intended to be limited in any.
The present embodiment by calculating each application program class indication between average correlation value, obtain each network application business
Correlation between the corresponding application name of application program class indication in shop, then by by average correlation value more than first
The application program class indication of predetermined threshold value is classified as an icon classification set, the accurate classification mark for the program name that is applied
The classification set of standard, i.e. each icon, and then realize each application of the exact classification to user's desktop icons, effectively management user
Program.
Further, further restriction is done to above-described embodiment.
As shown in figure 3, the schematic flow sheet of the sorting technique embodiment three of terminal desktop icon of the present invention, step 102, root
Sorted out according to icon classification set correspondence with program name, including：
Step 301, determine each application name that UE is sent application corresponding in each network application shop
Class of procedures is identified.
Specifically, finding application program point of each application name of UE transmissions in different network application shops
Class is identified, for example：Alipay application program class indication corresponding in each network application shop for [a11, a23,
a31,..,anx]。
Step 302, by the application program class indication of determination and each icon classification set in application program class indication
Common factor is taken, it is determined that the most icon category set of common factor element number is combined into the categorizing information of the application program class indication of determination.
Specifically, obtaining multiple icon classification set in a step 102, each chart classification set represents a class application journey
The classification information of sequence, passes through each application program class indication and the payment in step 301 that each icon is classified in set
Application program class indication [a11, a23, a31 .., anx] corresponding to treasured is compared, it is determined that with Alipay [a11,
A23, a31 .., anx] the most icon category set of set intersection collection element is combined into categorizing information corresponding to Alipay.
Or, as shown in figure 4, the schematic flow sheet of the sorting technique example IV of terminal desktop icon of the present invention, step
102nd, sorted out according to icon classification set correspondence with program name, including：
Step 401, determine any application program class indication and icon classification in icon classification set gather in other
Weighted average correlation between each application program class indication, the weighted average correlation for obtaining icon classification set is maximum
Application program class indication.
Wherein, weighted average correlation is the application journey that icon is classified corresponding to the interior any application program class indication of set
Same application domain in the application name that sequence title is classified corresponding to the interior other applications class indication of set with icon
The ratio of the quantity sum of title and the application name quantity corresponding to any application program class indication.For example：One
[a11, a21, a32] three application program class indications are included in icon classification set, then are calculated respectively：((a11∩a21)+
(a11 ∩ a32))/a11, ((a21 ∩ a11)+(a21 ∩ a32))/a21, ((a32 ∩ a11)+(a32 ∩ a21))/a32, obtain
The weighted average correlation of each application program class indication in icon classification set.
Step 402, each application name for sending UE are related to the weighted average in the classification set of each icon
Application name corresponding to the maximum application program class indication of value is compared, if the weighting in icon classification set is put down
Application name corresponding to the maximum application program class indication of related value includes the application name that UE is sent, really
It is the application name that UE is sent to determine the maximum application program class indication of the weighted average correlation in icon classification set
Categorizing information.
Specifically, obtaining the application program in [a11, a21, a32] with maximum weighted average correlation value by step 401
Class indication, it is assumed that ((a11 ∩ a21)+(a11 ∩ a32))/a11 value be respectively greater than ((a21 ∩ a11)+(a21 ∩ a32))/
A21 or ((a32 ∩ a11)+(a32 ∩ a21))/a32 ratio, it is determined that a11 is the weighted average in icon classification set
The maximum application program class indication of correlation, then it is assumed that a11 classification is compared to other contingency tables during icon classification is gathered
Know most accurately one classification.And then each application name for sending UE and the most accurately application program class indication
Corresponding application name is compared, so that it is determined that the categorizing information for the application name that UE is sent.
Or, as shown in figure 5, the schematic flow sheet of sorting technique embodiment five of terminal desktop icon of the present invention, step
102nd, sorted out according to icon classification set correspondence with program name, including：
Step 501, determine each application name that UE is sent application corresponding in each network application shop
Class of procedures is identified.
Step 502, by the application program class indication of determination and each icon classification set in application program class indication
Common factor is taken, it is determined that common factor element number is combined into the application program class indication of determination more than the icon category set of the second predetermined threshold value
Categorizing information.
Specifically, illustrating the present embodiment with a specific example, it is assumed that the application that UE is installed has:[Alipay], [hundred
Spend wallet], [industrial and commercial bank], [wechat], [footpath between fields footpath between fields], [Fetion], [China Merchants Bank]；Determine each above-mentioned application name at each first
Corresponding application program class indication in network application shop, as shown in table 1, table 1 are application name in network application
The application program class indication in shop.
The application program class indication of table 1, application name in network application shop
| Millet | 360 | Android market | Pea pods | ||
| [Alipay] | Finance | Financing | Financing | Financing | Financing and finance |
| [Baidu's wallet] | Finance | Financing | Financing | Financing | Financing and finance |
| [industrial and commercial bank] | Finance | Financing | Financing | Finance | Financing and finance |
| [China Merchants Bank] | Finance | Financing | Financing | Finance | Financing and finance |
| [wechat] | Chat | Chat | Chat is social | Chat is social | Chat is social |
| [Fetion] | Chat | Chat | Chat is social | Chat is social | Chat is social |
| [footpath between fields footpath between fields] | It is social | It is social | Chat is social | Chat is social | Chat is social |
Assuming that there is following each icon classification set：Icon classification set 1 [millet finance, 360. financings, Android market
Financing, pea pods financings and finance], [the Android market chat of chatting of millet chats 360. is social for icon classification set 2
Google. social pea pods chats of chatting are social].Then, by [Alipay] in table 1, [Baidu's wallet], [industrial and commercial bank], [micro-
Letter], [footpath between fields footpath between fields], [Fetion], [China Merchants Bank] network application shop application program class indication respectively with above-mentioned icon category set
The application program class indication closed in 1, icon classification set 2 takes common factor, it is assumed that the second predetermined threshold value is 2, it is determined that member of occuring simultaneously
Icon category set of the plain number more than 2 is combined into the categorizing information of the application program class indication of determination.So as to obtain the classification of table 2
As a result.As shown in table 2, [Alipay], [Baidu's wallet], [industrial and commercial bank], [China Merchants Bank] are classified as a class, [wechat], [Fetion], [footpath between fields
Footpath between fields] it is classified as a class.
Table 2, categorization results
Further, on the basis of above-described embodiment, as shown in fig. 6, the sorting technique of terminal desktop icon of the present invention
The schematic flow sheet of embodiment six, step 103, transmission are classified according to icon gathers the application after correspondence is sorted out with program name
The categorizing information of program name includes to UE：
Step 1031, judge whether also include the UE corresponding User Defined of each application name in classification request
Categorizing information, if not comprising User Defined categorizing information, performing step 1032；If comprising User Defined categorizing information, holding
Row step 1033.
Step 1032, transmission are classified according to icon gathers the application name after correspondence is sorted out with program name
Categorizing information is to UE.
Step 1033, the set that will be classified according to icon correspond to application name and use after being sorted out with program name
Application name in the self-defined categorizing information in family is compared, and the categorizing information of the application name after being compared is simultaneously
It is sent to UE.
Specifically, some UE users indicate its customized criteria for classification to its desk-top picture, if not including in classification request
User Defined categorizing information, that is to say, that each desktop icons of UE user are self-existent, and any classification is not belonged to
File.Step 1032 is now performed, sends to be classified according to icon and gathers the application journey after correspondence is sorted out with program name
The categorizing information of sequence title is to UE, so that UE carries out classifying whole according to categorizing information to the corresponding desktop icons of application name
Reason；If including User Defined categorizing information in classification request, categorizing information and the user that will be obtained after step 102 are also needed to
Self-defined categorizing information is considered, and is performed step 1033, will be carried out according to icon classification set correspondence with program name
The application name in application name and User Defined categorizing information after classification is compared, after being compared
The categorizing information of application name is simultaneously sent to UE so that UE according to categorizing information to the corresponding desk-top picture of application name
Mark carries out taxonomic revision.
Wherein, if also including the UE corresponding user of each application name in the desktop icons classification request that UE is sent
Self-defined categorizing information, that is, UE user itself give the classification of oneself to each application program installed thereon, but
The classification of user may accurately may also be inaccurate, at this moment need the categorization results of the sorter of terminal desktop icon determination
It is compared with User Defined categorizing information, the categorizing information of the application name after being compared simultaneously is sent to UE.Tool
Body comparison process can be：
First, the institute in each network application shop of each application name in User Defined categorizing information is found out
Corresponding application program class indication, by each affiliated same category of application name pair in User Defined categorizing information
The application program class indication answered takes common factor, and determines the number of common factor element, defines the common factor and is grouped friendship for User Defined
Collection.Determine according to icon to be classified in step 102 again and gather belonging in the categorizing information after correspondence is sorted out with program name
The common factor element of the corresponding application program class indication of same category of each application name, it is system point to define the common factor
Group is occured simultaneously.
If the element number that User Defined packet is occured simultaneously is less than default 3rd predetermined threshold value；If or User Defined point
The element number that group is occured simultaneously is more than or equal to the 3rd predetermined threshold value, but User Defined is grouped to occur simultaneously to classify with each icon and gathered
Do not occur simultaneously between middle application program class indication；Then split each application name in User Defined packet.
That is, the user-defined categorizing information being grouped for the User Defined is inaccurate or not accurate enough, then ignores use
The customized categorizing information in family.
If the element number that User Defined packet is occured simultaneously is more than or equal to the 3rd predetermined threshold value, User Defined is grouped
Occur simultaneously to occur simultaneously with nested design and be compared, it may appear that following three kinds of situations：The first situation, during User Defined packet is occured simultaneously
Application program class indication, by nested design occur simultaneously include.Application journey in second of situation, User Defined packet common factor
Application program class indication during sequence class indication occurs simultaneously with nested design is identical.The third situation, User Defined point
Application program class indication in group common factor, includes the application program class indication during nested design occurs simultaneously.
For the first above-mentioned situation and second of situation, by the application name in nested design, i.e., according to icon
The application name in categorizing information and User Defined categorizing information after correspondence is sorted out with program name is gathered in classification
Claim to merge, the categorizing information title after merging retains the title of User Defined categorizing information., will for the third above-mentioned situation
Application name (the classification letter gathered after correspondence is sorted out with program name of being classified according to icon in nested design
Breath) and User Defined be grouped in application name (i.e. User Defined categorizing information) in identical application name
Merge into a categorizing information, and retain the title of User Defined categorizing information, then by each application name not merged
Title merges into a new categorizing information, and obtain that each application name in the new categorizing information is corresponding again should
The common factor element identified with class of procedures, it is determined that the maximum weighted average correlation value in common factor element, the method for determination is referred to
Method in above-mentioned steps 401.And there is the element of maximum weighted average correlation value (i.e. with the average correlation of maximum weighted with this
The application program class indication of value) it is used as the title of the new categorizing information.Respecting User Defined classification so as to complete
In the case of information, intelligence arranges user's icon, realizes the exact classification of desktop icons, effectively each application of management user
Program.
As shown in fig. 7, the structural representation of the sorter embodiment one of terminal desktop icon of the present invention, the device bag
Include：Receiving module 1, the desktop icons classification request for receiving user equipment (UE) transmission, wherein, classification request bag is containing each of UE
Application name corresponding to individual desktop icons.Classifying module 2, for being entered according to icon classification set correspondence with program name
Row is sorted out, and icon classification set is obtained according to following process：Gather the application program classification in each network application shop
Information, wherein, application program classification information is included：The corresponding application journey of network application store identification, network application store identification
Sequence class indication, the corresponding application name of each application program class indication；Determine the application journey in each network application shop
The correlation of the corresponding application name of sequence class indication, each network application business by correlation more than the first predetermined threshold value
The application program class indication in shop is divided into a class and obtains icon classification set.Sending module 3：Classified for sending according to icon
Gather the categorizing information of the application name after sorting out to application name to UE, so that UE is according to categorizing information pair
The corresponding desktop icons of application name carry out taxonomic revision.
The sorter of the terminal desktop icon of the present embodiment, can be used for the skill for performing embodiment of the method one shown in Fig. 1
Art scheme, its implementing principle and technical effect are similar, will not be repeated here.
The sorter for the terminal desktop icon that the present embodiment is provided, by the application journey for gathering each network application shop
Sequence classification information, determines the correlation of the corresponding application name of application program class indication in each network application shop
Property, and correlation is divided into a class more than the application program class indication in each network application shop of the first predetermined threshold value,
So as to obtain icon classification set；Further according to icon classification set to the application journey corresponding to user UE each desktop icons
Sequence title is sorted out, and obtains UE application name categorizing information.So as to realize the exact classification to user's desktop icons,
And then effectively manage each application program of user.
Further, the classifying module 2 on the basis of the described device of above-described embodiment one, specifically for calculating any application
Class of procedures identifies the average correlation value between other each application program class indications, and average correlation value is two application programs
The quantity of same application domain title and two application program class indication institutes in application name corresponding to class indication
The ratio of corresponding application name quantity sum；Application program contingency table by average correlation value more than the first predetermined threshold value
Knowledge is classified as an icon classification set.Further, classifying module 2, specifically for determining each application name that UE is sent
Claim corresponding application program class indication in each network application shop；By the application program class indication of determination and each
Application program class indication takes common factor in icon classification set, it is determined that the most icon category set of common factor element number is combined into determination
Application program class indication categorizing information.Or, classifying module 2, specifically for determining any in icon classification set answer
With class of procedures identify and icon classification set in other each application program class indications between weighted average correlation,
The maximum application program class indication of the weighted average correlation of icon classification set is obtained, weighted average correlation is icon point
Application name in class set corresponding to any application program class indication and other applications in icon classification set
The quantity sum of same application domain title and any application program contingency table in application name corresponding to class indication
Know the ratio of corresponding application name quantity；Each application name that UE is sent is classified with each icon and gathered
In the maximum application program class indication of weighted average correlation corresponding to application name be compared, if icon point
Application name corresponding to the application program class indication of weighted average correlation maximum in class set includes UE and sent
Application name, determine that the maximum application program class indication of the weighted average correlation in icon classification set is UE hairs
The categorizing information of the application name sent.Or, classifying module 2, specifically for determining each application name that UE is sent
Claim corresponding application program class indication in each network application shop；By the application program class indication of determination and each
Application program class indication takes common factor in icon classification set, it is determined that icon point of the common factor element number more than the second predetermined threshold value
Class set is combined into the categorizing information of the application program class indication of determination.Further, sending module 3, specifically for judging to classify
Whether UE each application name corresponding User Defined categorizing information is also included in request, if being made by oneself not comprising user
Adopted categorizing information, sends to be classified according to icon and gathers returning for the application name after sorting out to the application name
Category information is to UE；If comprising User Defined categorizing information, according to described according to icon classification set correspondence program name
The application name in application name and User Defined categorizing information after being sorted out is compared, and is compared
The categorizing information of application name afterwards is simultaneously sent to the UE.
The sorter of terminal desktop icon described in the present embodiment can realize the terminal desktop described in the various embodiments described above
The sorting technique of icon, its implementing principle and technical effect are similar, will not be repeated here.
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention,
Technical scheme in the embodiment of the present invention is clearly and completely described.It should be noted that in accompanying drawing or specification,
Similar or identical element all uses identical reference.
One of ordinary skill in the art will appreciate that：Realizing all or part of step of above-mentioned each method embodiment can lead to
The related hardware of programmed instruction is crossed to complete.Foregoing program can be stored in a computer read/write memory medium.The journey
Sequence upon execution, performs the step of including above-mentioned each method embodiment；And foregoing storage medium includes：ROM, RAM, magnetic disc or
Person's CD etc. is various can be with the medium of store program codes.
Finally it should be noted that：Various embodiments above is merely illustrative of the technical solution of the present invention, rather than its limitations；To the greatest extent
The present invention is described in detail with reference to foregoing embodiments for pipe, it will be understood by those within the art that：Its according to
The technical scheme described in foregoing embodiments can so be modified, or which part or all technical characteristic are entered
Row equivalent substitution；And these modifications or replacement, the essence of appropriate technical solution is departed from various embodiments of the present invention technology
The scope of scheme.
Claims (10)
1. a kind of sorting technique of terminal desktop icon, it is characterised in that including：
The desktop icons classification request that user equipment (UE) is sent is received, the classification request bag contains each desktop icons of the UE
Corresponding application name；
The application name is sorted out according to icon classification set, the icon classification set is according to following process
Obtain：The application program classification information in each network application shop is gathered, the application program classification information is included：Network should
With store identification, the corresponding application program class indication of the network application store identification, each application program class indication correspondence
Application name；Determine the correlation of the corresponding application name of application program class indication in each network application shop
Property, correlation is divided into a class more than the application program class indication in each network application shop of the first predetermined threshold value and obtained
The icon classification set；
Send the classification for gathering the application name after sorting out to the application name according to icon classification
Information is to the UE, so that the UE carries out classifying whole according to the categorizing information to the corresponding desktop icons of application name
Reason；
The correlation of the corresponding application name of application program class indication for determining each network application shop, bag
Include：
The average correlation value between any application program class indication and other each application program class indications is calculated, it is described average
Correlation is the quantity and two of same application domain title in application name corresponding to two application program class indications
The ratio of application name quantity sum corresponding to individual application program class indication；
Accordingly, the application program class indication by correlation more than each network application shop of the first predetermined threshold value is drawn
It is divided into a class and obtains the icon classification set, including：
The application program class indication that the average correlation value exceedes first predetermined threshold value is classified as an icon category set
Close.
2. according to the method described in claim 1, it is characterised in that described to be gathered according to icon classification to the application name
Title is sorted out, including：
Determine each application name that the UE is sent application program classification corresponding in each network application shop
Mark；
Application program class indication in the application program class indication of determination and the classification set of each icon is taken into common factor, it is determined that handing over
The most icon category set of collection element number is combined into the categorizing information of the application program class indication of the determination.
3. according to the method described in claim 1, it is characterised in that described to be gathered according to icon classification to the application name
Title is sorted out, including：
Determine other each applications that any application program class indication is classified with the icon in set in icon classification set
Weighted average correlation between class of procedures mark, obtains answering for the weighted average correlation maximum that the icon classification is gathered
Identified with class of procedures, the weighted average correlation is right for any application program class indication in icon classification set
The application name that the application name answered is classified corresponding to the interior other applications class indication of set with the icon
The quantity sum of middle same application domain title and the application name number corresponding to any application program class indication
The ratio of amount；
Each application name that the UE is sent classifies the weighted average correlation in gathering most with each icon
Application name corresponding to big application program class indication is compared, if the weighting in icon classification set is put down
Application name corresponding to the maximum application program class indication of related value includes the application name that the UE is sent
Claim, determine what the maximum application program class indication of the weighted average correlation in the icon classification set sent for the UE
The categorizing information of application name.
4. according to the method described in claim 1, it is characterised in that described to be gathered according to icon classification to the application name
Title is sorted out, including：
Determine each application name that the UE is sent application program classification corresponding in each network application shop
Mark；
Application program class indication in the application program class indication of determination and the classification set of each icon is taken into common factor, it is determined that handing over
Collection element number is combined into the classification letter of the application program class indication of the determination more than the icon category set of the second predetermined threshold value
Breath.
5. the method according to claim any one of 1-4, it is characterised in that the transmission is described to gather according to icon classification
The categorizing information of application name after sorting out to the application name to the UE, including：
Judge whether also the corresponding User Defined of each application name comprising the UE is sorted out in the classification request
Information,
If not comprising the User Defined categorizing information, transmission is described to gather to the application name according to icon classification
The categorizing information of application name after being sorted out is to the UE；
If comprising the User Defined categorizing information, being gathered according to described according to icon classification to the application name
The application name in application name and the User Defined categorizing information after being sorted out is compared, and obtains
The categorizing information of application name after comparison is simultaneously sent to the UE.
6. a kind of sorter of terminal desktop icon, it is characterised in that including：
Receiving module：Desktop icons classification request for receiving user equipment (UE) transmission, the classification request bag contains the UE
Each desktop icons corresponding to application name；
Classifying module：For being sorted out according to icon classification set to the application name, the icon classification set
Obtained according to following process：Gather the application program classification information in each network application shop, the application program classification
Packet contains：Network application store identification, the corresponding application program class indication of the network application store identification, respectively apply journey
The corresponding application name of sequence class indication；Determine the corresponding application of application program class indication in each network application shop
The correlation of program name, the application program class indication by correlation more than each network application shop of the first predetermined threshold value
It is divided into a class and obtains the icon classification set；
Sending module：For sending the application journey classified according to icon and gathered after sorting out to the application name
The categorizing information of sequence title to the UE so that the UE according to the categorizing information to the corresponding desk-top picture of application name
Mark carries out taxonomic revision；
The classifying module：Specifically for calculating between any application program class indication and other each application program class indications
Average correlation value, the average correlation value be it is identical in application name corresponding to two application program class indications should
With the ratio of the quantity and the application name quantity sum corresponding to two application program class indications of program name；By institute
State average correlation value and be classified as an icon classification set more than the application program class indication of first predetermined threshold value.
7. device according to claim 6, it is characterised in that
The classifying module：Specifically for determining each application name of the UE transmissions in each network application shop
Corresponding application program class indication；By application program in the application program class indication of determination and the classification set of each icon
Class indication takes common factor, it is determined that the most icon category set of common factor element number is combined into the application program class indication of the determination
Categorizing information.
8. device according to claim 6, it is characterised in that
The classifying module：Specifically for determining that any application program class indication is classified with the icon in icon classification set
The weighted average correlation between other each application program class indications in set, obtains adding for the icon classification set
The maximum application program class indication of weight average correlation, the weighted average correlation is any in icon classification set
Application name corresponding to application program class indication and other applications class indication in icon classification set
The quantity sum of same application domain title and any application program class indication institute in corresponding application name
The ratio of corresponding application name quantity；Each application name that the UE is sent is classified with each icon and gathered
In the maximum application program class indication of the weighted average correlation corresponding to application name be compared, if institute
State the application name bag that icon is classified corresponding to the maximum application program class indication of the weighted average correlation in gathering
The application name sent containing the UE, determines the application journey of the weighted average correlation maximum in the icon classification set
Sequence class indication is the categorizing information for the application name that the UE is sent.
9. device according to claim 6, it is characterised in that
The classifying module：Specifically for determining each application name of the UE transmissions in each network application shop
Corresponding application program class indication；By application program in the application program class indication of determination and the classification set of each icon
Class indication takes common factor, it is determined that common factor element number is combined into the application of the determination more than the icon category set of the second predetermined threshold value
The categorizing information of class of procedures mark.
10. the device according to claim any one of 6-9, it is characterised in that
The sending module：Specifically for judging whether the classification also includes each application name of the UE in asking
Corresponding User Defined categorizing information,
If not comprising the User Defined categorizing information, transmission is described to gather to the application name according to icon classification
The categorizing information of application name after being sorted out is to the UE；
If comprising the User Defined categorizing information, being gathered according to described according to icon classification to the application name
The application name in application name and the User Defined categorizing information after being sorted out is compared, and obtains
The categorizing information of application name after comparison is simultaneously sent to the UE.
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| CN105183829A (en) * | 2015-08-28 | 2015-12-23 | 北京金山安全软件有限公司 | Picture classification method and device |
| CN105868226A (en) * | 2015-11-20 | 2016-08-17 | 乐视移动智能信息技术（北京）有限公司 | Application software intelligent classification method, terminal and server |
| CN107133248B (en) * | 2016-02-29 | 2020-04-14 | 阿里巴巴集团控股有限公司 | Application program classification method and device |
| CN108255522A (en) * | 2016-12-27 | 2018-07-06 | 北京金山云网络技术有限公司 | A kind of application program sorting technique and device |
| CN111797239B (en) * | 2020-09-08 | 2021-01-15 | 中山大学深圳研究院 | Application program classification method and device and terminal equipment |
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