CN107179930A - Method and device is recommended in one kind application unloading - Google Patents
Method and device is recommended in one kind application unloading Download PDFInfo
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- CN107179930A CN107179930A CN201710439227.XA CN201710439227A CN107179930A CN 107179930 A CN107179930 A CN 107179930A CN 201710439227 A CN201710439227 A CN 201710439227A CN 107179930 A CN107179930 A CN 107179930A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/60—Software deployment
- G06F8/61—Installation
- G06F8/62—Uninstallation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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Abstract
The present invention is applied to field of terminal technology and recommends method and device there is provided one kind application unloading, including：Obtain the use information of application；Weighted value corresponding with the use information is searched in default weight table；According to the use information and its corresponding weighted value, the comprehensive unloading index of application is calculated；Unloading list of application is recommended in application according to comprehensive unloading index not less than default unloading exponential quantity, generation；The recommendation unloading list of application is pushed to user.User can be filtered out exactly by the above method to have installed but actually unwanted application, help user's cleaning terminal storage space.
Description
Technical field
Recommend method and device the invention belongs to field of terminal technology, more particularly to application unloading.
Background technology
With various smart mobile phones, tablet personal computer, personal digital assistant (Personal Digital Assistant,
) etc. PDA intelligent mobile terminal becomes increasingly popular, and various applications (Application, APP) are also constantly weeded out the old and bring forth the new, APP class
Type increasingly enriches, and user can download the APP of various aspects, and mobile phone A PP has turned into indivisible in popular daily life
A part.User would generally install dozens or even hundreds of application on mobile phone, according to statistics, and many applications are that user is applying business
Shop is installed by recommendation of quality goods or friend recommendation simply by virtue of feeling of freshness for the moment, and user's application used in everyday is only
Have conventional several, major applications can just be used if necessary in minority, or even some applications are to install, and are opened
Started never again after experience, user has lost interest to these applications.The a large amount of silence installed on intelligent terminal should
With meeting committed memory space, originally enough cell phone capacities become not enough as installing excessive unsuitable application, drawn
The phenomenon of low memory when piece audio frequency and video of issuing permit is stored.
In current industry automatic clearing function, some caching rubbish of cleaning mobile phone application are released for mobile phone EMS memory deficiency
Rubbish, can then issue the user with unloading for the APP being of little use according to the nearest startup time and recommend, but false touch startup or third party
Situations such as force start, can cause unloading recommendation results to there is error.Therefore, existing unloading recommendation method recommendation results error
It is larger, it is impossible to which that effectively the help user of intelligence clears up memory headroom.
The content of the invention
In view of this, method and device is recommended the embodiments of the invention provide one kind application unloading, to solve existing unload
Carry recommendation method recommendation results error larger, it is impossible to the problem of effectively the help user of intelligence clears up memory headroom.
First aspect present invention provides a kind of application unloading recommendation method, and the application unloading recommendation method includes：
Obtain the use information of application；
Weighted value corresponding with the use information is searched in default weight table；
According to the use information and its corresponding weighted value, the comprehensive unloading index of application is calculated；
Unloading list of application is recommended in application according to comprehensive unloading index not less than default unloading exponential quantity, generation；
The recommendation unloading list of application is pushed to user.
Second aspect of the present invention provides a kind of application unloading recommendation apparatus, and the application unloading recommendation apparatus includes：
Information acquisition unit, the use information for obtaining application；
Searching unit, for searching weighted value corresponding with the use information in default weight table；
Computing unit, for according to the use information and its corresponding weighted value, calculating the comprehensive unloading index of application；
List generation unit, for the application according to comprehensive unloading index not less than default unloading exponential quantity, generation is recommended
Unload list of application；
List push unit, for pushing the recommendation unloading list of application to user.
Third aspect present invention provides a kind of terminal device, including：Memory, processor and it is stored in the storage
In device and the computer program that can run on the processor, realized as above during computer program described in the computing device
The step of application unloading recommendation method.
Fourth aspect present invention provides a kind of computer-readable recording medium, the computer-readable recording medium storage
There is computer program, the step of application unloading recommendation method as described above is realized when the computer program is executed by processor.
The beneficial effect that the embodiment of the present invention exists compared with prior art is：The embodiment of the present invention is by obtaining application
Use information, collection user searches and the use information for the actual use behavior of terminal applies in default weight table
Corresponding weighted value, then according to the use information and its corresponding weighted value, calculates the comprehensive unloading index of application, multidimensional
Degree judges the service condition of application, and the application finally according to comprehensive unloading index not less than default unloading exponential quantity, generation is recommended
Unload list of application, to user push it is described recommend unloading list of application so that more accurately filter out user installed but
Actually unwanted application, helps user's cleaning terminal storage space, makes terminal operating more smooth.
Brief description of the drawings
Technical scheme in order to illustrate the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
In required for the accompanying drawing that uses be briefly described, it should be apparent that, drawings in the following description are only some of the present invention
Embodiment, for those of ordinary skill in the art, without having to pay creative labor, can also be according to these
Accompanying drawing obtains other accompanying drawings.
Fig. 1 is the implementation process figure that a kind of application provided in an embodiment of the present invention unloads recommendation method；
Fig. 2 is the implementation process figure that another application provided in an embodiment of the present invention unloads recommendation method；
Fig. 3 is the implementation process figure of another application unloading recommendation method provided in an embodiment of the present invention；
Fig. 4 is the structured flowchart that a kind of application provided in an embodiment of the present invention unloads recommendation apparatus；
Fig. 5 is a kind of schematic diagram of terminal device provided in an embodiment of the present invention.
Embodiment
In describing below, in order to illustrate rather than in order to limit, it is proposed that such as tool of particular system structure, technology etc
Body details, thoroughly to understand the embodiment of the present invention.However, it will be clear to one skilled in the art that there is no these specific
The present invention can also be realized in the other embodiments of details.In other situations, omit to well-known system, device, electricity
Road and the detailed description of method, in case unnecessary details hinders description of the invention.
In order to illustrate technical solutions according to the invention, illustrated below by specific embodiment.
Embodiment one：
Fig. 1 shows that a kind of application that first embodiment of the invention is provided unloads the flow chart of recommendation method, and details are as follows：
Step S101, obtains the use information of application.
Specifically, in embodiments of the present invention, the locally applied use information of intelligent terminal is obtained, wherein, use information
The use duration of startup interval duration and application including application.It is a length of during the startup interval to be opened the last time apart from user
The interval time of dynamic application.For example, the last application time that starts is that before one week, that is, it is 7 days to start interval time.It is optional
Ground, starts the equispaced duration that interval duration can be user starts application in setting time section.The use duration can be with
It is always to use duration in the use duration or specified time range after single starts, further, makes described in acquiescence
Refer to specifying in time range with duration and always use duration.
Alternatively, for the ease of usage behavior of the statistical analysis user to terminal applies, provide the user with accurately and effectively
Information, also includes in embodiments of the present invention, the locally applied use information of monitoring intelligent terminal, includes the startup of detection application
It is spaced duration and uses duration, it is described using letter by what is monitored when detecting intelligent terminal in wireless network connection
Breath is uploaded to cloud server.
Step S102, searches weighted value corresponding with the use information in default weight table.
Specifically, presetting weight table includes the startup interval duration and its corresponding frequency weight value of application, and makes
With duration and its corresponding duration weighted value, such as shown in following table：
Wherein, the use of duration can 30 days always use duration.Alternatively, in embodiments of the present invention, weight is preset
Application scoring and its corresponding scoring weighted value can also be included in table, and apply space-consuming and its corresponding space right
Weight.Wherein, the application scoring refers to apply the comprehensive grading in application market, can be obtained from cloud server.Need explanation
, in the embodiment of the present invention, default weight table can be given tacit consent to or be set by user oneself, i.e. by user
Independently it is set using information and its corresponding weighted value.
Step S103, according to the use information and its corresponding weighted value, calculates the comprehensive unloading index of application.
When the startup that the use information of application includes application is spaced the use duration of duration and application, the step
S103 is specifically included：
A1, the startup interval duration according to application and its corresponding frequency weight value, during with using duration and its be corresponding
Long weighted value, the comprehensive unloading index of application is calculated by following equation：
Comprehensive unloading index=(starting interval duration × frequency weight value)+(using duration × duration weighted value).
Alternatively, when the use information of application also includes application scoring, the step S103 is specifically included：
A1 ', the startup interval duration according to application and its corresponding frequency weight value, use duration and its corresponding duration
Weighted value and application scoring and its corresponding scoring weighted value, the comprehensive unloading index of application is calculated by following equation：
Comprehensive unloading index=(starting interval duration × frequency weight value)+(using duration × duration weighted value)+(application
Scoring × scoring weighted value).
It is noted that when when starting interval a length of more than 90 days, frequency weight value be in default weight table 90 days with
Upper corresponding frequency weight value, but long-press is calculated for 90 days when starting interval.
In embodiments of the present invention, the comprehensive unloading index of application is calculated by the comprehensive calculation formula for unloading index, with
Just service condition of the user to application is considered from multiple dimensions, to provide the user accurate unloading suggestion.
Unloading application is recommended in step S104, the application according to comprehensive unloading index not less than default unloading exponential quantity, generation
List.
Alternatively, in order to accurately filter out off-loadable application, the step S104, including：
B1, the application by comprehensive unloading index not less than default unloading exponential quantity, are arranged from high to low by comprehensive unloading index
Unloading list of application is recommended in column-generation.For example, comprehensive unloading index to be not less than to 2 application, applied as unloading to be recommended, and
These unloading applications to be recommended are arranged into generation by comprehensive unloading index from high to low and recommend unloading list of application.
Alternatively, user cleans out relatively more memory spaces, the step S104, bag to intelligent terminal for convenience
Include：
B1 ', the space-consuming for obtaining each application of the comprehensive unloading index not less than default unloading exponential quantity.
B2 ', the application by comprehensive unloading index not less than default unloading exponential quantity, are arranged from big to small by the space-consuming
Unloading list of application is recommended in column-generation.For example, comprehensive unloading index to be not less than to 2 application, applied as unloading to be recommended, and
These unloading applications to be recommended are arranged into generation by space-consuming from big to small and recommend unloading list of application.
Alternatively, the valuable application of user's reservation for convenience, the step S104, including：
B1 ", the application scoring for obtaining each application of the comprehensive unloading index not less than default unloading exponential quantity.
B2 ", the application by comprehensive unloading index not less than default unloading exponential quantity, are arranged from big to small by application scoring
Unloading list of application is recommended in column-generation.For example, comprehensive unloading index to be not less than to 2 application, applied as unloading to be recommended, and
Application scoring arrangement generation from high to low is pressed into these unloading applications to be recommended and recommends unloading list of application.
In embodiments of the present invention, a unloading exponential quantity is preset, comprehensive unloading index is preset not less than this and unloaded
The application of exponential quantity is carried as unloading application to be recommended, user may be selected to unload application from height by be recommended by comprehensive unloading index
To low arrangement generation application recommendation list, or arrange from big to small by space-consuming, also may be selected to press application scoring from height to
Low arrangement, and then generate recommendation unloading list of application.
Step S105, the recommendation unloading list of application is pushed to user.
Specifically, the recommendation generated in step S104 unloading list of application is pushed to user.
Alternatively, when detecting user and clearing up terminal storage space manually, pushed to user and described recommend unloading application
List, and/or, recommend unloading list of application to push to terminal desktop by described by predetermined period, periodically remind user's cleaning intelligence
Can terminal storage space.
In first embodiment of the invention, the use information by obtaining application is adopted as started interval duration and using duration
Collect actual use behavior of the user for terminal applies, weight corresponding with the use information is searched in default weight table
Value, then according to the use information and its corresponding weighted value, calculates the comprehensive unloading index of application, various dimensions judge application
Service condition, the application finally according to comprehensive unloading index not less than default unloading exponential quantity arranges by certain way and generated
Recommend unloading list of application, push the recommendation unloading list of application to user, pacified so as to more accurately filter out user
Dress but actually unwanted application, help user's cleaning terminal storage space, make terminal operating more smooth, improve user's body
Test.
Embodiment two：
Fig. 2 shows that a kind of application that second embodiment of the invention is provided unloads the flow chart of recommendation method, and details are as follows：
Step S201, obtains the use information of application.
Step S202, searches weighted value corresponding with the use information in default weight table.
In the present embodiment, step S201 to step S202 specific steps are referring to the step S101 of embodiment one to step
S102, will not be repeated here.
Step S203, if counting on the probability that the application of terminal is at the appointed time unloaded in section exceedes predetermined niqueMin,
Then improve the weighted value corresponding to the use information of the application.
Wherein, the period that user specifies is referred to.For example, it is previous to carry out memory space cleaning operation in local terminal
In individual month.In embodiments of the present invention, different user need to be obtained from cloud server for the operation applied on local terminal
Data.Specifically, the different user obtained in cloud server is counted for the peration data applied on local terminal,
If counting on the probability that the application of local terminal is at the appointed time unloaded in section exceedes predetermined niqueMin, the application is improved
Weighted value corresponding to use information.For example, for a certain application in local terminal, by counting from cloud server
Big data information is understood, has 10 users to download identical application, wherein, having 5 users to unload this in one month should
With now, the probability that the application is unloaded is 0.5, if predetermined niqueMin is 0.65, the probability that the application is unloaded is less than predetermined
NiqueMin, if there is 7 users to unload the application in one month, now, the probability that the application is unloaded is 0.7, the application
The probability being unloaded is more than predetermined niqueMin, now, improves the corresponding weighted value of use information of the application, for example, will start
Frequency weight value 0.03 corresponding to the duration one month of interval brings up to 0.08.
Alternatively, data are obtained from cloud server, counting user is since download, the use between unloading application
Time, and average usage cycles are calculated according to use time, if averagely usage cycles are less than default usage cycles, improving to answer
Weighted value corresponding to use information.
In embodiments of the present invention, by the service condition of the different user that is stored to cloud server to application, for example
Download and use and unloading situation, carry out statistical analysis, thus it is convenient to user it is more accurate, comprehensively unloading advise.
Step S204, according to the use information and its corresponding weighted value, calculates the comprehensive unloading index of application.
In this step, the comprehensive unloading index of application, the step are calculated according to the weighted value of use information in step S203
Rapid S204 other specific steps will not be repeated here referring to the step S103 of embodiment one.
Unloading application is recommended in step S205, the application according to comprehensive unloading index not less than default unloading exponential quantity, generation
List.
Alternatively, after the step S205, in addition to：
The affiliated applicating category of C1, the application obtained in the recommendation unloading list of application；
If this is applied from described using default tool-class application is belonged in C2, the recommendation unloading list of application
Recommend to delete in unloading list of application.Specific steps content is referring to embodiment three.
Step S206, the recommendation unloading list of application is pushed to user.
In the present embodiment, step S205 to step S206 specific steps are referring to the step S104 of embodiment one to step
S105, will not be repeated here.
In second embodiment of the invention, the use information by obtaining application is adopted as started interval duration and using duration
Collect actual use behavior of the user for terminal applies, weight corresponding with the use information is searched in default weight table
Value, and obtain from cloud server the unloading situation of data statistics application, if counting on the application of terminal at the appointed time in section
The probability being unloaded exceedes predetermined niqueMin, then improves the weighted value corresponding to the use information of the application, then according to described
Use information and its corresponding weighted value, calculate the comprehensive unloading index of application, and various dimensions judge the service condition of application, finally
Application according to comprehensive unloading index not less than default unloading exponential quantity, unloading application row are recommended by certain way arrangement generation
Table, the recommendation unloading list of application is pushed to user, has been installed but actually need not so as to more accurately filter out user
Application, help user cleaning terminal storage space, make terminal operating more smooth, improve Consumer's Experience.
Embodiment three：
Fig. 3 shows that a kind of application that second embodiment of the invention is provided unloads the flow chart of recommendation method, and details are as follows：
Step S301, obtains the use information of application.
Step S302, searches weighted value corresponding with the use information in default weight table.
Step S303, according to the use information and its corresponding weighted value, calculates the comprehensive unloading index of application.
Alternatively, also include before the step S303：
If D1, counting on the probability that the application of terminal is at the appointed time unloaded in section and exceeding predetermined niqueMin, improve
Weighted value corresponding to the use information of the application.Specific steps content is referring to embodiment two.
Unloading application is recommended in step S304, the application according to comprehensive unloading index not less than default unloading exponential quantity, generation
List.
In the present embodiment, step S301 to step S304 specific steps are referring to the step S101 of embodiment one to step
S104, will not be repeated here.
Step S305, obtains the affiliated applicating category of the application recommended in unloading list of application.
Wherein, applicating category can be the classification or user-defined application class applied in application market
Not.
Step S306, if described recommend in unloading list of application using default tool-class application is belonged to, this is applied
Recommend to delete in unloading list of application from described.
Specifically, the applicating category for recommending to be applied in unloading list of application is obtained in embodiments of the present invention, will apply class
Do not belong to default tool-class application recommends deletion in unloading list of application from described.Wherein, default tool-class application bag
Inquiry class application is included, for example, APP, the APP of English Translation class of inquiry company information, the application of these inquiry classes typically exist
User needs to use under a certain particular case, and initiation culture is relatively low, and starting interval duration may be longer, and user inquires about
The application is shut off after obtaining result, the use duration of this kind of application also will not be very long, such application is very likely included into
Recommend to unload in list of application, therefore, applicating category is belonged into being arranged from the recommendation unloading application for default tool-class application
Deleted in table, can although avoid recommending the comprehensive unloading index of unloading not less than default unloading exponential quantity, but used for user
Value height is not intended to the application deleted, and improves Consumer's Experience.
Step S307, the recommendation unloading list of application is pushed to user.
In the present embodiment, step S307 specific steps will not be repeated here referring to the step S105 of embodiment one.
In third embodiment of the invention, the use information by obtaining application is adopted as started interval duration and using duration
Collect actual use behavior of the user for terminal applies, weight corresponding with the use information is searched in default weight table
Value, then according to the use information and its corresponding weighted value, calculates the comprehensive unloading index of application, various dimensions judge application
Service condition, the application according to comprehensive unloading index not less than default unloading exponential quantity recommended by certain way arrangement generation
List of application is unloaded, and obtains the affiliated applicating category of the application recommended in unloading list of application, if described recommend unloading
Using default tool-class application is belonged in list of application, then the application is recommended to delete in unloading list of application from described, kept away
Exempt to recommend unloading high application of use value for user, most rear line pushes the recommendation unloading list of application, so that
More accurately filter out user to have installed but actually unwanted application, help user's cleaning terminal storage space, make terminal
Operation is more smooth, improves Consumer's Experience.
It should be understood that the size of the sequence number of each step is not meant to the priority of execution sequence, each process in above-described embodiment
Execution sequence should determine that the implementation process without tackling the embodiment of the present invention constitutes any limit with its function and internal logic
It is fixed.
Example IV：
Corresponding to the application unloading recommendation method described in foregoing embodiments, Fig. 4 shows provided in an embodiment of the present invention answer
With the structured flowchart of unloading recommendation apparatus, the device can be applied to intelligent terminal, and the intelligent terminal can include through wireless access
The user equipmenies that are communicated with one or more core nets of net RAN, the user equipment can be that mobile phone (or is " honeybee
Nest " phone), computer with mobile device etc., for example, user equipment can also be portable, pocket, hand-held, meter
Built in calculation machine or vehicle-mounted mobile device, they exchange voice and/or data with wireless access network.In another example, the movement
Equipment can include smart mobile phone, tablet personal computer, personal digital assistant PDA, point-of-sale terminal POS or vehicle-mounted computer etc..In order to just
In explanation, the part related to the embodiment of the present invention illustrate only.
Reference picture 4, application unloading recommendation apparatus includes：Information acquisition unit 41, searching unit 42, computing unit 43,
List generation unit 44, list push unit 45, wherein：
Information acquisition unit 41, the use information for obtaining application.
Specifically, in embodiments of the present invention, the locally applied use information of intelligent terminal is obtained, wherein, use information
The use duration of startup interval duration and application including application.The interval duration span that starts is opened the last time from user
The interval time of dynamic application.For example, the last application time that starts is that before one week, that is, it is 7 days to start interval time.It is described to make
Can be always to use duration in the use duration or specified time range after single starts with duration, further,
Give tacit consent to the use duration to refer to always using duration in specified time range.
Searching unit 42, for searching weighted value corresponding with the use information in default weight table.
Alternatively, application scoring and its corresponding scoring weighted value can also be included by presetting in weight table, and application is accounted for
With space and its corresponding space weight.Wherein, the application scoring refers to apply the comprehensive grading in application market, can be from cloud
Server is held to obtain.It should be noted that in the embodiment of the present invention, default weight table can be acquiescence or by with
What family oneself was set, i.e. information and its corresponding weighted value are independently set using by user.
Computing unit 43, for according to the use information and its corresponding weighted value, the synthesis unloading for calculating application to refer to
Number.
In embodiments of the present invention, the comprehensive unloading index of application is calculated by the comprehensive calculation formula for unloading index, with
Just service condition of the user to application is considered from multiple dimensions, to provide the user accurate unloading suggestion.
List generation unit 44, for the application according to comprehensive unloading index not less than default unloading exponential quantity, generation is pushed away
Recommend unloading list of application.
In embodiments of the present invention, a unloading exponential quantity is preset, comprehensive unloading index is preset not less than this and unloaded
The application of exponential quantity is carried as unloading application to be recommended, user may be selected to unload application from height by be recommended by comprehensive unloading index
To low arrangement generation application recommendation list, or arrange from big to small by space-consuming, also may be selected to press application scoring from height to
Low arrangement, and then generate recommendation unloading list of application.
List push unit 45, for pushing the recommendation unloading list of application to user.
Alternatively, when detecting user and clearing up terminal storage space manually, pushed to user and described recommend unloading application
List, and/or, recommend unloading list of application to push to terminal desktop by described by predetermined period, periodically remind user's cleaning intelligence
Can terminal storage space.
Alternatively, the application unloading recommendation apparatus also includes：Weight improves unit 46, classification acquiring unit 47, application
Unit 48 is deleted, wherein：
Weight improves unit 46, if for count on the probability that the application of terminal is at the appointed time unloaded in section exceed it is pre-
Determine niqueMin, then improve the weighted value corresponding to the use information of the application.
Classification acquiring unit 47, the applicating category affiliated for obtaining the application recommended in unloading list of application.
Using unit 48 is deleted, if belonging to default tool-class application for being applied in the recommendation unloading list of application,
Then the application is recommended to delete in unloading list of application from described.
Alternatively, the use information includes the startup interval duration of application and uses duration, the computing unit 43
Also include：
Computing module, for the startup interval duration according to application and its corresponding frequency weight value, with using duration and
Its corresponding duration weighted value, the comprehensive unloading index of application is calculated by following equation：
Comprehensive unloading index=(starting interval duration × frequency weight value)+(using duration × duration weighted value).
The list generation unit 44 includes：
First list generation module, the application for comprehensive unloading index not less than default unloading exponential quantity, is unloaded by synthesis
Carry index and arrange generation recommendation unloading list of application from high to low.
Alternatively, the list generation unit 44 includes：
Space-consuming acquisition module, for obtaining each application of comprehensive unloading index not less than default unloading exponential quantity
Space-consuming；
Second list generation module, for the application by comprehensive unloading index not less than default unloading exponential quantity, by described
Space-consuming arranges generation and recommends unloading list of application from high to low.
Alternatively, the list generation unit 44 includes：
Using scoring acquisition module, for obtaining each application of comprehensive unloading index not less than default unloading exponential quantity
Application scoring；
3rd List Generating Module, for the application by comprehensive unloading index not less than default unloading exponential quantity, by described
Recommend unloading list of application using scoring arrangement generation from high to low.
In fourth embodiment of the invention, the use information by obtaining application is adopted as started interval duration and using duration
Collect actual use behavior of the user for terminal applies, weight corresponding with the use information is searched in default weight table
Value, then according to the use information and its corresponding weighted value, calculates the comprehensive unloading index of application, various dimensions judge application
Service condition, the application finally according to comprehensive unloading index not less than default unloading exponential quantity arranges by certain way and generated
Recommend unloading list of application, push the recommendation unloading list of application to user, pacified so as to more accurately filter out user
Dress but actually unwanted application, help user's cleaning terminal storage space, make terminal operating more smooth, improve user's body
Test.
Embodiment five：
Fig. 5 is the schematic diagram for the terminal device that one embodiment of the invention is provided.As shown in figure 5, the terminal of the embodiment is set
Standby 5 include：Processor 50, memory 51 and it is stored in the meter that can be run in the memory 51 and on the processor 50
Calculation machine program 52, such as application unloading recommended program.The processor 50 is realized above-mentioned each when performing the computer program 52
The step in embodiment of the method, such as step 101 shown in Fig. 1 to 105 are recommended in individual application unloading.Or, the processor 50
The function of each module/unit in above-mentioned each device embodiment, such as module shown in Fig. 4 are realized when performing the computer program 52
41 to 45 function.
Exemplary, the computer program 52 can be divided into one or more units, one or more of
Unit is stored in the memory 51, and is performed by the processor 50, to complete the present invention.One or more of lists
Member can complete the series of computation machine programmed instruction section of specific function, and the instruction segment is used to describe the computer journey
Implementation procedure of the sequence 52 in the terminal device 5.For example, the computer program 52 can be divided into acquisition of information list
Member, searching unit, computing unit, list generation unit and list push unit, each unit concrete function are as follows：
Information acquisition unit, the use information for obtaining application；
Searching unit, for searching weighted value corresponding with the use information in default weight table；
Computing unit, for according to the use information and its corresponding weighted value, calculating the comprehensive unloading index of application；
List generation unit, for the application according to comprehensive unloading index not less than default unloading exponential quantity, generation is recommended
Unload list of application；
List push unit, for pushing the recommendation unloading list of application to user.
The terminal device 5 can be that the calculating such as desktop PC, notebook, palm PC and cloud server is set
It is standby.The terminal device may include, but be not limited only to, processor 50, memory 51.It will be understood by those skilled in the art that Fig. 5
Only the example of terminal device 5, does not constitute the restriction to terminal device 5, can include than illustrating more or less portions
Part, either combines some parts or different parts, such as described terminal device can also include input-output equipment, net
Network access device, bus etc..
Alleged processor 50 can be CPU (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) or other PLDs, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor can also be any conventional processor
Deng.
The memory 51 can be the internal storage unit of the terminal device 5, such as hard disk of terminal device 5 or interior
Deposit.The memory 51 can also be the External memory equipment of the terminal device 5, such as is equipped with described terminal device 5
Plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card dodges
Deposit card (Flash Card) etc..Further, the memory 51 can also both include the storage inside list of the terminal device 5
Member also includes External memory equipment.The memory 51 is used for needed for storing the computer program and the terminal device
Other programs and data.The memory 51 can be also used for temporarily storing the data that has exported or will export.
It is apparent to those skilled in the art that, for convenience of description and succinctly, only with above-mentioned each work(
Energy unit, the division progress of module are for example, in practical application, as needed can distribute above-mentioned functions by different
Functional unit, module are completed, i.e., the internal structure of described device is divided into different functional unit or module, more than completion
The all or part of function of description.Each functional unit, module in embodiment can be integrated in a processing unit, also may be used
To be that unit is individually physically present, can also two or more units it is integrated in a unit, it is above-mentioned integrated
Unit can both be realized in the form of hardware, it would however also be possible to employ the form of SFU software functional unit is realized.In addition, each function list
Member, the specific name of module are also only to facilitate mutually differentiation, is not limited to the protection domain of the application.Said system
The specific work process of middle unit, module, may be referred to the corresponding process in preceding method embodiment, will not be repeated here.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, without detailed description or note in some embodiment
The part of load, may refer to the associated description of other embodiments.
Those of ordinary skill in the art are it is to be appreciated that the list of each example described with reference to the embodiments described herein
Member and algorithm steps, can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
Performed with hardware or software mode, depending on the application-specific and design constraint of technical scheme.Professional and technical personnel
Described function can be realized using distinct methods to each specific application, but this realization is it is not considered that exceed
The scope of the present invention.
In embodiment provided by the present invention, it should be understood that disclosed apparatus and method, others can be passed through
Mode is realized.For example, system embodiment described above is only schematical, for example, the division of the module or unit,
It is only a kind of division of logic function, there can be other dividing mode when actually realizing, such as multiple units or component can be with
With reference to or be desirably integrated into another system, or some features can be ignored, or not perform.It is another, it is shown or discussed
Coupling each other or direct-coupling or communication connection can be by some interfaces, the INDIRECT COUPLING of device or unit or
Communication connection, can be electrical, machinery or other forms.
The unit illustrated as separating component can be or may not be it is physically separate, it is aobvious as unit
The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
In addition, each functional unit in each embodiment of the invention can be integrated in a processing unit, can also
That unit is individually physically present, can also two or more units it is integrated in a unit.Above-mentioned integrated list
Member can both be realized in the form of hardware, it would however also be possible to employ the form of SFU software functional unit is realized.
If the integrated unit is realized using in the form of SFU software functional unit and as independent production marketing or used
When, it can be stored in a computer read/write memory medium.Understood based on such, the present invention realizes above-described embodiment side
All or part of flow in method, can also instruct the hardware of correlation to complete, described computer by computer program
Program can be stored in a computer-readable recording medium, and the computer program can be achieved above-mentioned each when being executed by processor
The step of individual embodiment of the method.Wherein, the computer program includes computer program code, and the computer program code can
Think source code form, object identification code form, executable file or some intermediate forms etc..The computer-readable medium can be with
Including：Any entity or device, recording medium, USB flash disk, mobile hard disk, magnetic disc, light of the computer program code can be carried
Disk, computer storage, read-only storage (ROM, Read-Only Memory), random access memory (RAM, Random
Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It should be noted that the computer
The content that computer-readable recording medium is included can carry out appropriate increase and decrease according to legislation in jurisdiction and the requirement of patent practice, for example
In some jurisdictions, according to legislation and patent practice, computer-readable medium does not include being electric carrier signal and telecommunications letter
Number.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although with reference to foregoing reality
Example is applied the present invention is described in detail, it will be understood by those within the art that：It still can be to foregoing each
Technical scheme described in embodiment is modified, or carries out equivalent substitution to which part technical characteristic；And these are changed
Or replace, the essence of appropriate technical solution is departed from the spirit and scope of various embodiments of the present invention technical scheme, all should
Within protection scope of the present invention.
Claims (10)
1. one kind application unloading recommendation method, it is characterised in that the application unloading recommendation method includes：
Obtain the use information of application；
Weighted value corresponding with the use information is searched in default weight table；
According to the use information and its corresponding weighted value, the comprehensive unloading index of application is calculated；
Unloading list of application is recommended in application according to comprehensive unloading index not less than default unloading exponential quantity, generation；
The recommendation unloading list of application is pushed to user.
2. application unloading recommendation method as claimed in claim 1, it is characterised in that it is described according to the use information and its
Before corresponding weighted value, the comprehensive unloading index for calculating application, including：
If counting on the probability that the application of terminal is at the appointed time unloaded in section exceedes predetermined niqueMin, the application is improved
Weighted value corresponding to use information.
3. application unloading recommendation method as claimed in claim 1, it is characterised in that described not small according to comprehensive unloading index
In the application of default unloading exponential quantity, generation is recommended after unloading list of application, including：
Obtain the affiliated applicating category of the application recommended in unloading list of application；
If described recommend in unloading list of application using default tool-class application is belonged to, the application is recommended to unload from described
Deleted in list of application.
4. the application unloading recommendation method as described in any one of claims 1 to 3, it is characterised in that the use information includes
The startup interval duration of application and duration is used, it is described according to the use information and its corresponding weighted value, calculate application
Comprehensive unloading index, including：
According to the startup interval duration of application and its corresponding frequency weight value, with using duration and its corresponding duration weight
Value, the comprehensive unloading index of application is calculated by following equation：
Comprehensive unloading index=(starting interval duration × frequency weight value)+(using duration × duration weighted value).
5. the application unloading recommendation method as described in any one of claims 1 to 3, it is characterised in that described according to comprehensive unloading
Index generates not less than the application of default unloading exponential quantity and recommends unloading list of application, including：
Application by comprehensive unloading index not less than default unloading exponential quantity, arranges generation by comprehensive unloading index and pushes away from high to low
Recommend unloading list of application；Or,
Obtain the space-consuming of each application of the comprehensive unloading index not less than default unloading exponential quantity；
Application by comprehensive unloading index not less than default unloading exponential quantity, arranges generation by the space-consuming and pushes away from big to small
Recommend unloading list of application；Or,
Obtain the application scoring of each application of the comprehensive unloading index not less than default unloading exponential quantity；
Application by comprehensive unloading index not less than default unloading exponential quantity, is pushed away by application scoring arrangement generation from high to low
Recommend unloading list of application.
6. one kind application unloading recommendation apparatus, it is characterised in that the application unloading recommendation apparatus includes：
Information acquisition unit, the use information for obtaining application；
Searching unit, for searching weighted value corresponding with the use information in default weight table；
Computing unit, for according to the use information and its corresponding weighted value, calculating the comprehensive unloading index of application；
List generation unit, for the application according to comprehensive unloading index not less than default unloading exponential quantity, unloading is recommended in generation
List of application；
List push unit, for pushing the recommendation unloading list of application to user.
7. application unloading recommendation apparatus as claimed in claim 6, it is characterised in that the application unloading recommendation apparatus is also wrapped
Include：
Classification acquiring unit, the applicating category affiliated for obtaining the application recommended in unloading list of application；
, should if recommending for described in unloading list of application using default tool-class application is belonged to using unit is deleted
Recommend to delete in unloading list of application using from described.
8. the application unloading recommendation apparatus as described in any one of claim 6 or 7, it is characterised in that the use information includes
The startup interval duration of application and duration is used, the computing unit also includes：
Computing module, for the startup interval duration according to application and its corresponding frequency weight value, with using duration and its right
The duration weighted value answered, the comprehensive unloading index of application is calculated by following equation：
Comprehensive unloading index=(starting interval duration × frequency weight value)+(using duration × duration weighted value).
9. a kind of terminal device, including memory, processor and it is stored in the memory and can be on the processor
The computer program of operation, it is characterised in that realize such as claim 1 to 5 described in the computing device during computer program
The step of any one methods described.
10. a kind of computer-readable recording medium, the computer-readable recording medium storage has computer program, its feature exists
In the step of realizing such as any one of claim 1 to 5 methods described when the computer program is executed by processor.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710439227.XA CN107179930B (en) | 2017-06-12 | 2017-06-12 | Application uninstalling recommendation method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710439227.XA CN107179930B (en) | 2017-06-12 | 2017-06-12 | Application uninstalling recommendation method and device |
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| CN107179930A true CN107179930A (en) | 2017-09-19 |
| CN107179930B CN107179930B (en) | 2020-06-05 |
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