CN107133094A - Application management method, mobile terminal and computer-readable recording medium - Google Patents
Application management method, mobile terminal and computer-readable recording medium Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/445—Program loading or initiating
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- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
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- G—PHYSICS
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- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
- G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
- G06F9/485—Task life-cycle, e.g. stopping, restarting, resuming execution
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Abstract
The invention discloses a kind of application management method, including：Each application program is used when platform application program is cleared up on triggering, under each usage scenario for obtain current usage scenario information, prestoring first uses under probability, and each usage scenario types of applications program is used second to use probability；Currently used scene information, each first are input in default Bayesian network probability calculation model using probability and each second using probability, each background application is calculated what currently used scene was used and the 3rd uses probability；Close the 3rd background application for being less than predetermined probabilities threshold value using probability.The invention also discloses a kind of mobile terminal and computer-readable storage media.The present invention can lift the accuracy that mobile terminal carries out application management.
Description
Technical field
The present invention relates to technical field of mobile terminals, and in particular to a kind of application management method, mobile terminal and computer
Readable storage medium storing program for executing.
Background technology
For optimization system power dissipation, heating, internal memory service efficiency, user satisfaction etc. is improved, mobile terminal is often needed to behaviour
The application for making running background in system is optimized.And current background application Optimizing Flow often all kills background application
Extremely or according to the Task killing mechanism management background applications of lru algorithm, lru algorithm only considered makes using nearest
With situation, user's use habit is not accounted for, background application may be caused mistakenly to be terminated, is answered when user switches back into this
When using program, the problems such as bringing using start delay increase, energy consumption increase, loss of state causes bad Consumer's Experience.
The content of the invention
The present invention provides a kind of application management method, mobile terminal and computer-readable recording medium, it is intended to lifting movement
Terminal carries out the accuracy of application management.
For achieving the above object, the present invention provides a kind of application management method, and the application management method includes：
It is each under each usage scenario for obtain current usage scenario information, prestoring when platform application program is cleared up on triggering
Application program used first use under probability, and each usage scenario that types of applications program is used second use it is general
Rate；
Currently used scene information, each first are input to default Bayesian network using probability and each second using probability
In network probability calculation model, each background application is calculated what currently used scene was used and the 3rd uses probability；
Close the 3rd background application for being less than predetermined probabilities threshold value using probability.
Alternatively, before the step of closing the 3rd is less than the background application of predetermined probabilities threshold value using probability,
Also include：
Using the user preference value of each background application prestored, the 3rd of each background application of correspondence amendment uses
Probability.
Alternatively, the user preference value using each background application prestored, each background application journey of correspondence amendment
The 3rd of sequence using probability the step of include：
Choose a background application；
Based on the user preference value for the background application chosen, and default user preference value is with correcting reflecting for probability
Relation is penetrated, it is determined that the amendment probability corresponding to the background application chosen；
The 3rd of the background application the chosen probability and value for using probability and the amendment probability is calculated, by calculating
Probability and value use probability as the revised 3rd；
Continue to choose a background application, until each background application is selected, complete to each background application journey
The 3rd of sequence uses the amendment of probability.
Alternatively, during the application program of the platform on triggering cleaning, current usage scenario information, each usage scenario are obtained
Under each background application first use second of types of applications program under probability, and each usage scenario using probability step
Before rapid, in addition to：
Count and store the user preference value of each application program.
Alternatively, the user preference value of each application program of statistics includes：
Count number of run of each application program in preset time period, and the resident duration on foreground；
According to number of run and each self-corresponding weights of resident duration, number of run based on each application program and it is resident when
It is long, calculate and store the user preference value of each application program.
Alternatively, during the application program of the platform on triggering cleaning, current usage scenario information, each usage scenario are obtained
Under each background application first use second of types of applications program under probability, and each usage scenario using probability step
Before rapid, in addition to：
First for counting and storing each application program under each usage scenario uses probability.
Alternatively, during the application program of the platform on triggering cleaning, current usage scenario information, each usage scenario are obtained
Under each background application first use second of types of applications program under probability, and each usage scenario using probability step
Before rapid, in addition to：
Preset types of applications program under each usage scenario second uses probability.
Alternatively, during the application program of the platform on triggering cleaning, current usage scenario information, each usage scenario are obtained
Under each background application first use second of types of applications program under probability, and each usage scenario using probability step
Before rapid, in addition to：
The operational factor of acquisition system, and when the operational factor meets default background application cleaning condition,
Trigger background application cleaning.
Further, the present invention also provides a kind of mobile terminal, and the mobile terminal includes：
Be stored with the memory of application management program；
Processor, is configured to perform the application management program to realize following steps：
It is each under each usage scenario for obtain current usage scenario information, prestoring when platform application program is cleared up on triggering
Application program used first use under probability, and each usage scenario that types of applications program is used second use it is general
Rate；
Currently used scene information, each first are input to default Bayesian network using probability and each second using probability
In network probability calculation model, each background application is calculated what currently used scene was used and the 3rd uses probability；
Close the 3rd background application for being less than predetermined probabilities threshold value using probability.
Further, the present invention also provides a kind of computer-readable recording medium, is deposited on the computer-readable recording medium
Application management program is contained, the application management program realizes following steps when being executed by processor：
It is each under each usage scenario for obtain current usage scenario information, prestoring when platform application program is cleared up on triggering
Application program used first use under probability, and each usage scenario that types of applications program is used second use it is general
Rate；
Currently used scene information, each first are input to default Bayesian network using probability and each second using probability
In network probability calculation model, each background application is calculated what currently used scene was used and the 3rd uses probability；
Close the 3rd background application for being less than predetermined probabilities threshold value using probability.
The present invention is when platform application program is cleared up on triggering, current usage scenario information is obtained first, respectively making of prestoring
First used with each application program under scene uses types of applications program is used under probability, and each usage scenario
Two use probability, are then input to currently used scene information, each first using probability using probability and each second default
In Bayesian network probability calculation model, calculate each background application currently used scene used the 3rd use it is general
Rate, finally closes the 3rd background application for being less than predetermined probabilities threshold value using probability so that platform application program after the cleaning
When, it is contemplated that user user is accustomed to, it is to avoid background application improves the accuracy of application management by the termination of mistake.
Brief description of the drawings
Fig. 1 is the hardware architecture diagram for realizing each one optional mobile terminal of embodiment of the invention；
Fig. 2 is a kind of communications network system Organization Chart of mobile terminal as shown in Figure 1；
Fig. 3 is the schematic flow sheet of application management method first embodiment of the present invention；
Fig. 4 is a kind of topological structure exemplary plot of Bayesian network in application management method first embodiment of the present invention；
Fig. 5 triggers progress background application to pass through " cleaning " control in application management method first embodiment of the present invention
The operation chart of cleaning；
Fig. 6 is the structural representation of Bayesian network probability calculation model in application management method first embodiment of the present invention
Figure.
Embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
In follow-up description, the suffix using such as " module ", " part " or " unit " for representing element is only
Be conducive to the explanation of the present invention, itself there is no a specific meaning.Therefore, " module ", " part " or " unit " can be mixed
Ground is used.
Terminal can be implemented in a variety of manners.For example, the terminal described in the present invention can include such as mobile phone, flat board
Computer, notebook computer, palm PC, personal digital assistant (Personal Digital Assistant, PDA), portable
Media player (Portable Media Player, PMP), guider, wearable device, Intelligent bracelet, pedometer etc. are moved
Move the fixed terminals such as terminal, and numeral TV, desktop computer.
It will be illustrated in subsequent descriptions by taking mobile terminal as an example, it will be appreciated by those skilled in the art that except special
Outside element for moving purpose, construction according to the embodiment of the present invention can also apply to the terminal of fixed type.
Referring to Fig. 1, its hardware architecture diagram for a kind of mobile terminal of realization each embodiment of the invention, the shifting
Dynamic terminal 100 can include：RF (Radio Frequency, radio frequency) unit 101, Wi-Fi module 102, audio output unit
103rd, A/V (audio/video) input block 104, sensor 105, display unit 106, user input unit 107, interface unit
108th, the part such as memory 109, processor 110 and power supply 111.It will be understood by those skilled in the art that shown in Fig. 1
Mobile terminal structure does not constitute the restriction to mobile terminal, and mobile terminal can be included than illustrating more or less parts,
Either combine some parts or different parts arrangement.
The all parts of mobile terminal are specifically introduced with reference to Fig. 1：
Radio frequency unit 101 can be used for receiving and sending messages or communication process in, the reception and transmission of signal, specifically, by base station
Downlink information receive after, handled to processor 110；In addition, up data are sent into base station.Generally, radio frequency unit 101
Including but not limited to antenna, at least one amplifier, transceiver, coupler, low-noise amplifier, duplexer etc..In addition, penetrating
Frequency unit 101 can also be communicated by radio communication with network and other equipment.Above-mentioned radio communication can use any communication
Standard or agreement, including but not limited to GSM (Global System of Mobile communication, global system for mobile telecommunications
System), GPRS (General Packet Radio Service, general packet radio service), CDMA2000 (Code
Division Multiple Access 2000, CDMA 2000), WCDMA (Wideband Code Division
Multiple Access, WCDMA), TD-SCDMA (Time Division-Synchronous Code
Division Multiple Access, TD SDMA), FDD-LTE (Frequency Division
Duplexing-Long Term Evolution, FDD Long Term Evolution) and TDD-LTE (Time Division
Duplexing-Long Term Evolution, time division duplex Long Term Evolution) etc..
Wi-Fi belongs to short range wireless transmission technology, and mobile terminal can help user to receive and dispatch by Wi-Fi module 102
Email, browse webpage and access streaming video etc., it has provided the user wireless broadband internet and accessed.Although Fig. 1
Wi-Fi module 102 is shown, but it is understood that, it is simultaneously not belonging to must be configured into for mobile terminal, completely can basis
Need to omit in the essential scope for do not change invention.
Audio output unit 103 can be in call signal reception pattern, call mode, record mould in mobile terminal 1 00
When under the isotypes such as formula, speech recognition mode, broadcast reception mode, it is that radio frequency unit 101 or Wi-Fi module 102 are received or
The voice data that person stores in memory 109 is converted into audio signal and is output as sound.Moreover, audio output unit
103 can also provide performed to mobile terminal 1 00 the related audio output of specific function (for example, call signal reception sound,
Message sink sound etc.).Audio output unit 103 can include loudspeaker, buzzer etc..
A/V input blocks 104 are used to receive audio or video signal.A/V input blocks 104 can include graphics processor
(Graphics Processing Unit, GPU) 1041 and microphone 1042,1041 pairs of graphics processor is in video acquisition mode
Or the view data progress of the static images or video obtained in image capture mode by image capture apparatus (such as camera)
Reason.Picture frame after processing may be displayed on display unit 106.Picture frame after being handled through graphics processor 1041 can be deposited
Storage is transmitted in memory 109 (or other storage mediums) or via radio frequency unit 101 or Wi-Fi module 102.Mike
Wind 1042 can connect in telephone calling model, logging mode, speech recognition mode etc. operational mode via microphone 1042
Quiet down sound (voice data), and can be voice data by such acoustic processing.Audio (voice) data after processing can
To be converted to the form output that mobile communication base station can be sent to via radio frequency unit 101 in the case of telephone calling model.
Microphone 1042 can implement various types of noises and eliminate (or suppression) algorithm to eliminate (or suppression) in reception and send sound
The noise produced during frequency signal or interference.
Mobile terminal 1 00 also includes at least one sensor 105, such as optical sensor, motion sensor and other biographies
Sensor.Specifically, optical sensor includes ambient light sensor and proximity transducer, wherein, ambient light sensor can be according to environment
The light and shade of light adjusts the brightness of display panel 1061, and proximity transducer can close when mobile terminal 1 00 is moved in one's ear
Display panel 1061 and/or backlight.As one kind of motion sensor, accelerometer sensor can detect in all directions (general
For three axles) size of acceleration, size and the direction of gravity are can detect that when static, the application available for identification mobile phone posture
(such as horizontal/vertical screen switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, percussion) etc.；
The fingerprint sensor that can also configure as mobile phone, pressure sensor, iris sensor, molecule sensor, gyroscope, barometer,
The other sensors such as hygrometer, thermometer, infrared ray sensor, will not be repeated here.
Display unit 106 is used for the information for showing the information inputted by user or being supplied to user.Display unit 106 can be wrapped
Display panel 1061 is included, liquid crystal display (Liquid Crystal Display, LCD), Organic Light Emitting Diode can be used
Forms such as (Organic Light-Emitting Diode, OLED) configures display panel 1061.
User input unit 107 can be used for the numeral or character information for receiving input, and produce the use with mobile terminal
The key signals input that family is set and function control is relevant.Specifically, user input unit 107 may include contact panel 1071 with
And other input equipments 1072.Contact panel 1071, also referred to as touch-screen, collect touch operation of the user on or near it
(such as user is using any suitable objects such as finger, stylus or annex on contact panel 1071 or in contact panel 1071
Neighbouring operation), and corresponding attachment means are driven according to formula set in advance.Contact panel 1071 may include touch detection
Two parts of device and touch controller.Wherein, touch detecting apparatus detects the touch orientation of user, and detects touch operation band
The signal come, transmits a signal to touch controller；Touch controller receives touch information from touch detecting apparatus, and by it
It is converted into contact coordinate, then gives processor 110, and the order sent of reception processing device 110 and can be performed.In addition, can
To realize contact panel 1071 using polytypes such as resistance-type, condenser type, infrared ray and surface acoustic waves.Except contact panel
1071, user input unit 107 can also include other input equipments 1072.Specifically, other input equipments 1072 can be wrapped
Include but be not limited to physical keyboard, in function key (such as volume control button, switch key etc.), trace ball, mouse, action bars etc.
One or more, do not limit herein specifically.
Further, contact panel 1071 can cover display panel 1061, detect thereon when contact panel 1071 or
After neighbouring touch operation, processor 110 is sent to determine the type of touch event, with preprocessor 110 according to touch thing
The type of part provides corresponding visual output on display panel 1061.Although in Fig. 1, contact panel 1071 and display panel
1061 be input and the output function that mobile terminal is realized as two independent parts, but in certain embodiments, can
By contact panel 1071 and the input that is integrated and realizing mobile terminal of display panel 1061 and output function, not do specifically herein
Limit.
Interface unit 108 is connected the interface that can pass through as at least one external device (ED) with mobile terminal 1 00.For example,
External device (ED) can include wired or wireless head-band earphone port, external power source (or battery charger) port, wired or nothing
Line FPDP, memory card port, the port for connecting the device with identification module, audio input/output (I/O) end
Mouth, video i/o port, ear port etc..Interface unit 108 can be used for receiving the input from external device (ED) (for example, number
It is believed that breath, electric power etc.) and the input received is transferred to one or more elements in mobile terminal 1 00 or can be with
For transmitting data between mobile terminal 1 00 and external device (ED).
Memory 109 can be used for storage software program and various data.Memory 109 can mainly include storing program area
And storage data field, wherein, application program (the such as sound that storing program area can be needed for storage program area, at least one function
Sound playing function, image player function etc.) etc.；Storage data field can be stored uses created data (such as according to mobile phone
Voice data, phone directory etc.) etc..In addition, memory 109 can include high-speed random access memory, it can also include non-easy
The property lost memory, for example, at least one disk memory, flush memory device or other volatile solid-state parts.
Processor 110 is the control centre of mobile terminal, utilizes each of various interfaces and the whole mobile terminal of connection
Individual part, by operation or performs and is stored in software program and/or module in memory 109, and calls and be stored in storage
Data in device 109, perform the various functions and processing data of mobile terminal, so as to carry out integral monitoring to mobile terminal.Place
Reason device 110 may include one or more processing units；It is preferred that, processor 110 can integrated application processor and modulatedemodulate mediate
Device is managed, wherein, application processor mainly handles operating system, user interface and application program etc., and modem processor is main
Handle radio communication.It is understood that above-mentioned modem processor can not also be integrated into processor 110.
Mobile terminal 1 00 can also include the power supply 111 (such as battery) powered to all parts, it is preferred that power supply 111
Can be logically contiguous by power-supply management system and processor 110, so as to realize management charging by power-supply management system, put
The function such as electricity and power managed.
Although Fig. 1 is not shown, mobile terminal 1 00 can also will not be repeated here including bluetooth module etc..
For the ease of understanding the embodiment of the present invention, the communications network system that the mobile terminal of the present invention is based on is entered below
Row description.
Referring to Fig. 2, Fig. 2 is a kind of communications network system Organization Chart provided in an embodiment of the present invention, the communication network system
Unite as the LTE system of universal mobile communications technology, UE (User Equipment, use of the LTE system including communicating connection successively
Family equipment) 201, E-UTRAN (Evolved UMTS Terrestrial Radio Access Network, evolved UMTS lands
Ground wireless access network) 202, EPC (Evolved Packet Core, evolved packet-based core networks) 203 and operator IP operation
204。
Specifically, UE201 can be above-mentioned mobile terminal 1 00, and here is omitted.
E-UTRAN202 includes eNodeB2021 and other eNodeB2022 etc..Wherein, eNodeB2021 can be by returning
Journey (backhaul) (such as X2 interface) is connected with other eNodeB2022, and eNodeB2021 is connected to EPC203,
ENodeB2021 can provide UE201 to EPC203 access.
EPC203 can include MME (Mobility Management Entity, mobility management entity) 2031, HSS
(Home Subscriber Server, home subscriber server) 2032, other MME2033, SGW (Serving Gate Way,
Gateway) 2034, PGW (PDN Gate Way, grouped data network gateway) 2035 and PCRF (Policy and
Charging Rules Function, policy and rate functional entity) 2036 etc..Wherein, MME2031 be processing UE201 and
There is provided carrying and connection management for the control node of signaling between EPC203.HSS2032 is all to manage for providing some registers
Such as function of attaching position register (not shown) etc, and some are preserved about the use such as service features, data rate
The special information in family.All customer data can be transmitted by SGW2034, and PGW2035 can provide UE 201 IP
Address is distributed and other functions, and PCRF2036 is strategy and the charging control strategic decision-making of business data flow and IP bearing resources
Point, it selects and provided available strategy and charging control decision-making with charge execution function unit (not shown) for strategy.
IP operation 204 can include internet, Intranet, IMS (IP Multimedia Subsystem, IP multimedia
System) or other IP operations etc..
Although above-mentioned be described by taking LTE system as an example, those skilled in the art it is to be understood that the present invention not only
Suitable for LTE system, be readily applicable to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA with
And following new network system etc., do not limit herein.
Based on above-mentioned mobile terminal hardware configuration and communications network system, each implementation of mobile terminal of the present invention is proposed
Example.
Reference picture 1, in the first embodiment of mobile terminal of the present invention, the mobile terminal includes：
Be stored with the memory 109 of application management program；
Processor 110, is configured to perform in memory 109 application management program that stores to realize following operation：
It is each under each usage scenario for obtain current usage scenario information, prestoring when platform application program is cleared up on triggering
Application program used first use under probability, and each usage scenario that types of applications program is used second use it is general
Rate；
Currently used scene information, each first are input to default Bayesian network using probability and each second using probability
In network probability calculation model, each background application is calculated what currently used scene was used and the 3rd uses probability；
Close the 3rd background application for being less than predetermined probabilities threshold value using probability.
Further, when processor 110 performs the application management program stored in memory 109, following operate also is performed：
Using the user preference value of each background application prestored, the 3rd of each background application of correspondence amendment uses
Probability.
Further, when processor 110 performs the application management program stored in memory 109, following operate also is performed：
Choose a background application；
Based on the user preference value for the background application chosen, and default user preference value is with correcting reflecting for probability
Relation is penetrated, it is determined that the amendment probability corresponding to the background application chosen；
The 3rd of the background application the chosen probability and value for using probability and amendment probability is calculated, by the probability of calculating
With value probability is used as the revised 3rd；
Continue to choose a background application, until each background application is selected, complete to each background application journey
The 3rd of sequence uses the amendment of probability.
Further, when processor 110 performs the application management program stored in memory 109, following operate also is performed：
Count and store the user preference value of each application program.
Further, when processor 110 performs the application management program stored in memory 109, following operate also is performed：
Count number of run of each application program in preset time period, and the resident duration on foreground；
According to number of run and each self-corresponding weights of resident duration, number of run based on each application program and it is resident when
It is long, calculate and store the user preference value of each application program.
Further, when processor 110 performs the application management program stored in memory 109, following operate also is performed：
First for counting and storing each application program under each usage scenario uses probability.
Further, when processor 110 performs the application management program stored in memory 109, following operate also is performed：
Preset types of applications program under each usage scenario second uses probability.
Further, when processor 110 performs the application management program stored in memory 109, following operate also is performed：
The operational factor of acquisition system, and when the operational factor meets default background application cleaning condition,
Trigger background application cleaning.
Further, the present invention also provides a kind of application management method, applied to mobile terminal, reference picture 3, in the present invention
In the first embodiment of application management method, the application management method includes：
Step S10, when platform application program is cleared up on triggering, obtains current usage scenario information, respectively using of prestoring
Each application program is used under scene first uses types of applications program is used under probability, and each usage scenario second
Use probability；
Step S20, currently used scene information, each first is input to using probability and each second using probability default
In Bayesian network probability calculation model, calculate each background application currently used scene used the 3rd use it is general
Rate；
Step S30, closes the 3rd background application for being less than predetermined probabilities threshold value using probability.
For ease of understanding the present invention program, Bayesian network of the present invention is simply introduced first below.
Bayesian network is a kind of probability net, and it is the graphical network based on probability inference, and Bayesian formula is then
It is the basis of this probability net.Bayesian network is the mathematical modeling based on probability inference, and so-called probability inference is exactly to pass through
The information of some variables obtains the process of other probabilistic informations, Bayesian network (Bayesian based on probability inference
Network) proposed to solve the problems, such as ambiguity and imperfection, it is for solving complex device uncertainty and closing
Failure caused by connection property has very big advantage, and extensive use is obtained in multiple fields.It is a kind of simulation mankind inference's process
In causal Uncertainty Management model, refer to Fig. 4, its network topology structure is a directed acyclic graph (DAG), its
In each one stochastic variable of node on behalf, the side between node represents and directly relies on relation between variable.
In Fig. 4, event a and event b are separate, in event a probability of happening P (a), event b probability of happening P (b), event
Premise known to event c probability of happening P under the premise of event c probability of happening P (c | a), event b occur under the premise of a occurs (c | b)
Under, can be with predicted events c probability of happening.
Based on Fig. 4, there are P (a, b, c)=P (a) * P (b) * P (c | a, b) to set up, can be obtained after abbreviation：
P (c)=P (c | a)+P (c | b)-P (c | a, b)；
P (c | a)=P (a | c) * P (c)/p (a)；
P (b | a)=P (a | b) * P (b)/p (a).
Based on the simple introduction above with respect to Bayesian network, start to illustrate the present invention program below.
The concept of usage scenario information is proposed in the present invention, usage scenario information is primarily referred to as the environment residing for mobile terminal
State, for example, current time, place, network environment etc..It is easily understood that the difference of usage scenario, user may use
Application it is different, for example, in non-Wi-Fi environment, user is relatively low using the possibility of video playback class software, when at home,
User is larger using the possibility of the applications such as wechat, Taobao and microblogging.
In embodiments of the present invention, when triggering background application cleaning, current usage scenario letter is got first
Breath, for example, getting current usage scenario information for " network environment is Wi-Fi environment ".Wherein, for triggering background application
The triggering mode of program cleaning, can manually be triggered by user, also can actively be triggered by mobile terminal, the present invention does not do specific limit
System, is specifically configured, for example, as shown in figure 5, user can pass through mobile terminal according to actual needs by those skilled in the art
" cleaning " control is provided, triggering carries out background application cleaning；In another example, mobile terminal reaches in the quantity of background application
During to predetermined threshold value, triggering carries out background application cleaning.
In addition, the present invention also prestore that each application program on mobile terminal is used by a user under each usage scenario it is general
Rate, and the probability that types of applications program is used by a user under each usage scenario.While usage scenario information is obtained, also
Get under each usage scenario prestored that each application program is used simultaneously first uses each under probability, and each usage scenario
What class application program was used second uses probability.It is easily understood that each application program has its characteristic attribute value, it is such as excellent
Extremely, iqiyi.com, Tengxun's video etc. belong to the video playback class application program for expending flow, the possibility used in Wi-Fi environment
Property is larger；Microblogging, today's tops, Tengxun's news etc. belong to entertain class application program, the possibility used on one's own time
It is larger；Rub and visit bicycle, ofo etc. and belong to vehicles class application program, the possibility used in traffic point is larger.So as to this hair
The bright characteristic attribute value for application program, is divided into polytype application program, including but do not limit by application program in advance
In：Video playback class application program, amusement class application program and vehicles class application program etc..
In embodiments of the present invention, a Bayesian network probability calculation model is constructed in advance, for predicting that some is used
Family starts the probability of some background application, that is to say the probability for predicting that some background application is used.It refer to figure
6, it is the structural representation of Bayesian network probability calculation model, as shown in fig. 6, the Bayesian network probability calculation model hypothesis
The probability that some background application is used depends on each application program quilt under the usage scenario of mobile terminal, each usage scenario
First used uses under probability and each usage scenario types of applications program is used second to use probability.So as to obtain
Each application program is used under to current usage scenario information, each usage scenario first uses probability, and respectively uses field
Types of applications program is used under scape second is used after probability, by currently used scene information, it is each first using probability with
And each second be input in default Bayesian network probability calculation model using probability, each background application is calculated current
What usage scenario was used the 3rd uses probability.
In the specific implementation, Bayesian network probability calculation model calculates each background application according to equation below and worked as
What preceding usage scenario was used the 3rd uses probability：
Score (A)=P (A | S, A ', A ")；
Wherein, Score (A) represent background application " A " used under currently used scene " S " the 3rd use generally
Each application program is used under rate, each usage scenario of A ' expressions first uses probability, and A " represents all kinds of under each usage scenario and answered
Second used with program uses probability.
The 3rd of each background application is obtained in calculating and uses probability, that is to say that calculating obtains each background application and existed
After the 3rd use probability that currently used scene is used by a user, it is clear that, the 3rd should using the bigger backstage of probability
May be more used by a user with program, then after the cleaning during platform application program, it is necessary to preferentially retain it is larger may be by user
The application program used.In the present embodiment, it is previously provided with the expression larger probability threshold that may be used by a user of application program
Value, is designated as predetermined probabilities threshold value, thus after the cleaning platform application program when, can closing the 3rd, to be less than this using probability default general
The background application of rate threshold value.
Alternatively, in other embodiments, it can be obtained according to the maximum background process number and calculating in real time of mobile terminal
Each background application the 3rd use probability, dynamic updates the specific value of predetermined probabilities threshold value, for example, mobile terminal
Maximum background process number is 5, after calculating the obtain each background application the 3rd using probability, according to probability from large to small
Order, be ranked up to the 3rd of each background application the using probability, predetermined probabilities threshold values be updated to sequence the 5th
The 3rd of background application uses probable value.In other words, after the cleaning platform application program when, retain the 3rd use probability highest
, the background application with maximum background process number same number.
Further, in the present embodiment, also include before step S10：
First for counting and storing each application program under each usage scenario uses probability.
In the present embodiment probability is used, it is necessary to count obtain first of each application program under each usage scenario in advance.
When it is implemented, in the first preset time period, when user uses application program every time (namely certain application program is activated
When), the usage scenario information (including current time, place and network environment etc.) of record now, so that it is pre- to obtain first
If in the period, number of run of each application program under each usage scenario, and the total number of run of each application program, then pin
To a certain application program, number of run of the application program under a usage scenario and the quotient of total number of run are designated as
The application program first uses probability under the usage scenario, by that analogy, obtains each application program quilt under each usage scenario
First used uses probability.
Further, in the present embodiment, also include before step S10：
Preset types of applications program under each usage scenario second uses probability.
In the present embodiment, it is necessary first to which each application program on mobile terminal is classified.Specifically, mobile whole
When certain application program is downloaded in end from certain in response to user's operation using shop, the download page of the application program is parsed,
The label information (i.e. preceding feature property value) of the application program is obtained, the label letter of application program " rub and visit bicycle " is such as got
Cease for " bicycle " and " mobike ", the label information for getting application program " youku.com " is " video " and " player ".
Afterwards, each application program is classified according to the label information of each application program got, such as according to " Mo Bai
The label information " bicycle " of bicycle " and " mobike " are classified as vehicles class application program, such as according to the label of " youku.com "
Information " video " and " player " are classified as video playback class application program.
It should be noted that when obtaining the label information of application program, multiple label informations may be got simultaneously, and
To not being that each label information can reflect the type of application program in individual label information.Accordingly, it would be desirable to the mark of acquisition
Label information is pre-processed, and filters out useless label information.For example, getting the label information of application program " serge mile serge mile "
" video ", " player " and " Quadratic Finite Element ", it is clear that, " Quadratic Finite Element " is for determining the type of application program " serge mile serge mile " simultaneously
Without use, it can filter out and not record, only record " video " and " player ".
After the Type division to each application program is completed, preset types of applications program under each usage scenario second makes
With probability, the reasonable setting of the second use probability has been largely fixed the order of accuarcy of prediction, can be by gathering in advance
FUT user profile confirms rational probable value, for example, default " video playback class application program " is under " Wi-Fi environment "
Second is 60% using probability, and preset " shopping class application program " in " in family " second using probability is 80%.
Application management method proposed by the present invention, when platform application program is cleared up on triggering, obtains current use first
Each application program is used under scene information, each usage scenario prestored first uses each under probability, and each usage scenario
What class application program was used second uses probability, and currently used scene information, each first then are used into probability and each the
Two are input in default Bayesian network probability calculation model using probability, calculate each background application in currently used field
What scape was used the 3rd uses probability, finally closes the 3rd background application for being less than predetermined probabilities threshold value using probability, makes
After the cleaning platform application program when, it is contemplated that user user is accustomed to, it is to avoid background application is by the termination of mistake, lifting
The accuracy of application management.
Further, based on first embodiment, the second embodiment of application management method of the present invention is proposed, in the present embodiment
In, it is further comprising the steps of before step S30：
Using the user preference value of each background application prestored, the 3rd of each background application of correspondence amendment uses
Probability.
It is easily understood that in real life, user is during using application program, to different application programs
Different preferences are had, for example, party A-subscriber's preference carries out network social intercourse using QQ, party B-subscriber's preference carries out network using wechat
Social activity etc..Therefore, the present embodiment is on the basis of aforementioned first embodiment, further using the user preference value quantified to calculating
Obtain each application program the 3rd is modified using probability, can more accurately express the possibility being used by a user.
In embodiments of the present invention, obtain each background application and the 3rd make what currently used scene was used calculating
After probability, first by the user preference value of each background application prestored, each background application of correspondence amendment
3rd uses probability.In the specific implementation, using user preference value to the 3rd using probability be modified including：
Choose a background application；
Based on the user preference value for the background application chosen, and default user preference value is with correcting reflecting for probability
Relation is penetrated, it is determined that the amendment probability corresponding to the background application chosen；
The 3rd of the background application the chosen probability and value for using probability and amendment probability is calculated, by the probability of calculating
With value probability is used as the revised 3rd；
Continue to choose a background application, until each background application is selected, complete to each background application journey
The 3rd of sequence uses the amendment of probability.
It should be noted that in the present embodiment, user preference value and the mapping relations of amendment probability are previously provided with, should
Mapping relations are used to describe user preference value to the 3rd influence degree using probability, specifically, user preference value is bigger, to the
Three is bigger using the influence degree of probability, and corresponding amendment probability is bigger, and as constraint, those skilled in the art can be according to reality
Border needs to set user preference value with correcting the mapping relations of probability.
For example, amendment probability k=1-1/i, i are user preference value, span is [1,10], be that is to say user preference
Value is divided into 10 levels.When the user preference value i of certain background application is 10, you can calculating obtains the background application journey
The amendment probability of sequence is 90%.
It should be noted that when the revised 3rd is more than 1 using probability, will amendment in the embodiment of the present invention
Afterwards it is more than 1 and the 3rd 1 is directly designated as using probability, obtains the 3rd of certain background application for example, calculating and be using probability
60%, and it is 50% to determine that it corrects probability according to the user preference value of the background application, the then background application
3rd using probability and amendment probability and value be 110%, it is now direct by background application the revised 3rd more than 1
1 is designated as using probability, in other words, the probability that the background application is used by a user under currently used scene is 100%.
Further, to be repaiied using user preference value to the 3rd of each background application of calculating the using probability
Just, need head to be accomplished by the user preference value for first obtaining characterizing user preference degree, in the present embodiment, before step S10, also wrap
Include following steps：
Count and store the user preference value of each application program.
In the specific implementation, the user preference value for counting and storing each application program includes：
Count number of run of each application program in preset time period, and the resident duration on foreground；
According to number of run and each self-corresponding weights of resident duration, number of run based on each application program and it is resident when
It is long, calculate and store the user preference value of each application program.
It is common, if user is higher using the usage frequency of a certain application program, and the application program resident foreground time
It is longer, then illustrate that the preference of user's application program is higher.Therefore, in the present embodiment, based on application in a period of time
The number of run of program, and resident foreground duration, build application program user preference value and number of run and it is resident when
Long mapping relations are as follows：
I=x*m+y*n；
Wherein, i represents the user preference value of application program, and x represents number of run of the application program in preset time period
(number of run on foreground), m represents the corresponding weights of number of run, and y represents application program in preset time period on foreground
Resident duration, n represents the resident corresponding weights of duration, and m, n value are rule of thumb set.
In the specific implementation, in preset time period when user uses application program every time (namely certain application program quilt
During startup), record the application program and stay the period (initial time and deadline) on foreground, current network conditions information (such as
Failed cluster, Wi-Fi networkings, GPRS networkings etc.), current GPS location information (in such as family, place of working), and be to initial value
Zero, the operation of the application program is persistently updated, due to being both needed to record the information using App every time, therefore can be with should
It is one application data set of each applicating maintenance with entitled Key values are wrapped
Alternatively, preset time period could be arranged to one it is naturally all, that is to say with one naturally week for the cycle, to applying
The user preference value of program is updated so that it can more accurately reflect preference of the user to application program.
Further, based on first embodiment, the 3rd embodiment of application management method of the present invention is proposed, in the present embodiment
In, before step S10, in addition to：
The operational factor of acquisition system, and meet default background application cleaning condition in the operational factor of acquisition
When, triggering background application cleaning.
It should be noted that the present embodiment provides a kind of background application cleaning on the basis of aforementioned first embodiment
Triggering mode, be only explained below, other can refer to the associated description of previous embodiment, and here is omitted.
In the present embodiment, first obtain system operational factor, wherein, the operational factor of acquisition include but is not limited to be
System power consumption, memory usage and system temperature etc..
After the operational factor of system is got, according to the operational factor of acquisition judge it is current whether meet it is default after
Platform application program clears up condition, if then triggering carries out background application cleaning.Wherein, background application cleaning condition can
It is configured according to actual needs, the present invention is not particularly limited, for example, for system power dissipation, default background application
Cleaning condition is " system power dissipation is more than or equal to 1500mW "；For memory usage, default background application clears up bar
Part is " memory usage is more than or equal to 90% "；For system temperature, default background application cleaning condition is " system
Temperature is more than or equal to 60 degrees Celsius ".
In addition, the present invention also proposes a kind of computer-readable recording medium, it is stored with the computer-readable recording medium
Application management program, realizes following operation when the application management program is performed by processor 110：
It is each under each usage scenario for obtain current usage scenario information, prestoring when platform application program is cleared up on triggering
Application program used first use under probability, and each usage scenario that types of applications program is used second use it is general
Rate；
Currently used scene information, each first are input to default Bayesian network using probability and each second using probability
In network probability calculation model, each background application is calculated what currently used scene was used and the 3rd uses probability；
Close the 3rd background application for being less than predetermined probabilities threshold value using probability.
Further, following operation is also realized when aforementioned applications management program is performed by processor 110：
Using the user preference value of each background application prestored, the 3rd of each background application of correspondence amendment uses
Probability.
Further, following operation is also realized when aforementioned applications management program is performed by processor 110：
Choose a background application；
Based on the user preference value for the background application chosen, and default user preference value is with correcting reflecting for probability
Relation is penetrated, it is determined that the amendment probability corresponding to the background application chosen；
The 3rd of the background application the chosen probability and value for using probability and amendment probability is calculated, by the probability of calculating
With value probability is used as the revised 3rd；
Continue to choose a background application, until each background application is selected, complete to each background application journey
The 3rd of sequence uses the amendment of probability.
Further, following operation is also realized when aforementioned applications management program is performed by processor 110：
Count and store the user preference value of each application program.
Further, following operation is also realized when aforementioned applications management program is performed by processor 110：
Count number of run of each application program in preset time period, and the resident duration on foreground；
According to number of run and each self-corresponding weights of resident duration, number of run based on each application program and it is resident when
It is long, calculate and store the user preference value of each application program.
Further, following operation is also realized when aforementioned applications management program is performed by processor 110：
First for counting and storing each application program under each usage scenario uses probability.
Further, following operation is also realized when aforementioned applications management program is performed by processor 110：
Preset types of applications program under each usage scenario second uses probability.
Further, following operation is also realized when aforementioned applications management program is performed by processor 110：
The operational factor of acquisition system, and when the operational factor meets default background application cleaning condition,
Trigger background application cleaning.
It should be noted that herein, term " comprising ", "comprising" or its any other variant are intended to non-row
His property is included, so that process, method, article or device including a series of key elements not only include those key elements, and
And also including other key elements being not expressly set out, or also include for this process, method, article or device institute inherently
Key element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that including this
Also there is other identical element in process, method, article or the device of key element.
The embodiments of the present invention are for illustration only, and the quality of embodiment is not represented.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can add the mode of required general hardware platform to realize by software, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Understood based on such, technical scheme is substantially done to prior art in other words
Going out the part of contribution can be embodied in the form of software product, and the computer software product is stored in one as described above
In storage medium (such as ROM/RAM, magnetic disc, CD), including some instructions are to cause a station terminal (can be mobile phone, calculate
Machine, server, air conditioner, or network equipment etc.) perform method described in each of the invention embodiment.
Embodiments of the invention are described above in conjunction with accompanying drawing, but the invention is not limited in above-mentioned specific
Embodiment, above-mentioned embodiment is only schematical, rather than restricted, one of ordinary skill in the art
Under the enlightenment of the present invention, in the case of present inventive concept and scope of the claimed protection is not departed from, it can also make a lot
Form, these are belonged within the protection of the present invention.
Claims (10)
1. a kind of application management method, applied to mobile terminal, it is characterised in that the application management method includes：
When platform application program is cleared up on triggering, respectively applied under each usage scenario for obtain current usage scenario information, prestoring
What program was used first uses under probability, and each usage scenario types of applications program is used second to use probability；
Currently used scene information, each first using probability and each second are input to default Bayesian network using probability general
In rate computation model, each background application is calculated what currently used scene was used and the 3rd uses probability；
Close the 3rd background application for being less than predetermined probabilities threshold value using probability.
2. application management method according to claim 1, it is characterised in that the closing the 3rd is less than default using probability
Before the step of background application of probability threshold value, in addition to：
Using the user preference value of each background application prestored, the 3rd of each background application of correspondence amendment uses generally
Rate.
3. application management method according to claim 2, it is characterised in that described to use each background application prestored
User preference value, the 3rd of each background application of correspondence amendment the using probability the step of include：
Choose a background application；
Closed based on the user preference value for the background application chosen, and default user preference value and the mapping of amendment probability
System, it is determined that the amendment probability corresponding to the background application chosen；
The 3rd of the background application the chosen probability and value for using probability and the amendment probability is calculated, by the probability of calculating
With value probability is used as the revised 3rd；
Continue to choose a background application, until each background application is selected, complete to each background application
3rd uses the amendment of probability.
4. the application management method according to Claims 2 or 3, it is characterised in that the application program of platform on triggering is clear
During reason, obtain each background application under current usage scenario information, each usage scenario first uses probability, and respectively makes
Before the step of probability being used with second of types of applications program under scene, in addition to：
Count and store the user preference value of each application program.
5. application management method according to claim 4, it is characterised in that the user preference of each application program of statistics
Value includes：
Count number of run of each application program in preset time period, and the resident duration on foreground；
According to number of run and each self-corresponding weights of resident duration, number of run and resident duration based on each application program,
Calculate and store the user preference value of each application program.
6. application management method according to claim 1, it is characterised in that the application program of the platform on triggering cleaning
When, obtain each background application under current usage scenario information, each usage scenario first uses probability, and respectively uses
Before the step of the second of types of applications program uses probability under scene, in addition to：
First for counting and storing each application program under each usage scenario uses probability.
7. application management method according to claim 1, it is characterised in that the application program of the platform on triggering cleaning
When, obtain each background application under current usage scenario information, each usage scenario first uses probability, and respectively uses
Before the step of the second of types of applications program uses probability under scene, in addition to：
Preset types of applications program under each usage scenario second uses probability.
8. application management method according to claim 1, it is characterised in that the application program of the platform on triggering cleaning
When, obtain each background application under current usage scenario information, each usage scenario first uses probability, and respectively uses
Before the step of the second of types of applications program uses probability under scene, in addition to：
The operational factor of acquisition system, and when the operational factor meets default background application cleaning condition, triggering
Background application is cleared up.
9. a kind of mobile terminal, it is characterised in that the mobile terminal includes：
Be stored with the memory of application management program；
Processor, is configured to perform the application management program to realize the application management any one of claim 1 to 8
The step of method.
10. a kind of computer-readable recording medium, it is characterised in that be stored with the computer-readable recording medium using pipe
Reason program, realizes the application management as any one of claim 1 to 8 when the application management program is executed by processor
The step of method.
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| CN115002274A (en) * | 2022-05-07 | 2022-09-02 | Oppo广东移动通信有限公司 | Control method and device, electronic equipment and computer readable storage medium |
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