CN112997151B - Application management method and device, storage medium and electronic equipment - Google Patents

Application management method and device, storage medium and electronic equipment Download PDF

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Publication number
CN112997151B
CN112997151B CN201880099390.9A CN201880099390A CN112997151B CN 112997151 B CN112997151 B CN 112997151B CN 201880099390 A CN201880099390 A CN 201880099390A CN 112997151 B CN112997151 B CN 112997151B
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Prior art keywords
application program
information
display interface
target application
text information
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CN112997151A (en
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吴建文
张寅祥
帅朝春
陆天洋
戴堃
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Guangdong Oppo Mobile Telecommunications Corp Ltd
Shenzhen Huantai Technology Co Ltd
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Guangdong Oppo Mobile Telecommunications Corp Ltd
Shenzhen Huantai Technology Co Ltd
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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
    • G06F9/46—Multiprogramming arrangements
    • G06F9/48—Program initiating; Program switching, e.g. by interrupt
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management

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  • Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • User Interface Of Digital Computer (AREA)
  • Stored Programmes (AREA)

Abstract

A management method, apparatus, storage medium and electronic device of the application program, the processing method includes freezing the application program whose frequency of use is lower than the preset threshold according to the use habit of the user (S101); acquiring corresponding defrosting information of a display interface (S102); inputting the defrosting information into a learning library, and determining a target application identifier associated with the defrosting information (S103); and controlling the target application program corresponding to the target application identifier to defrost (S104). The processing method improves the management efficiency of the application program.

Description

Application management method and device, storage medium and electronic equipment
Technical Field
The present invention relates to the field of electronic devices, and in particular, to a method and an apparatus for managing an application program, a storage medium, and an electronic device.
Background
With the continuous development of electronic technology, electronic devices such as mobile phones have more and more powerful functions, and various applications can be installed in the mobile phones to meet the demands of users, so that more convenience is brought to life and work of the users.
The application programs are automatically set to start after being installed by a user, namely after the user starts the terminal equipment, whether the user opens the application or not, the application programs are automatically started and run in the background, and for application programs which are not commonly used by some users, the electric quantity and memory resources of the mobile phone are consumed when the application programs run in the background, so that the use and the cruising of the mobile phone are affected.
At present, in order to avoid waste of electric quantity and memory resources of a mobile phone caused by running of an application program which is not used frequently in the background, a user can manually add the application program which is not used frequently in a frozen white list so as to freeze the application program which is not used frequently, however, the method requires the user to continuously manually update the white list, so that the management efficiency of the application program is lower.
Disclosure of Invention
The embodiment of the application program management method, device, storage medium and electronic equipment can improve the management efficiency of the application program.
In a first aspect, an embodiment of the present application provides a method for managing an application program, including:
freezing the application program with the use frequency lower than a preset threshold according to the use habit of the user;
analyzing the display interface to obtain the corresponding defrosting information of the display interface;
inputting the defrosting information into a learning library, and determining a target application identifier associated with the defrosting information;
and controlling the target application program corresponding to the target application identifier to defrost.
In a second aspect, an embodiment of the present application provides an application management apparatus, including:
the freezing unit is used for freezing the application programs with the use frequency lower than a preset threshold according to the use habit of the user;
The analysis unit is used for analyzing the display interface and acquiring the corresponding defrosting information of the display interface;
the determining unit is used for inputting the defrosting information into a learning library and determining a target application identifier associated with the defrosting information;
and the defrosting unit is used for controlling the target application program corresponding to the target application identifier to defrost.
In a third aspect, a storage medium provided in an embodiment of the present application has a computer program stored thereon, which when executed on a computer causes the computer to perform a method for managing an application program as provided in any embodiment of the present application.
In a fourth aspect, an electronic device provided in an embodiment of the present application includes a processor and a memory, where the memory has a computer program, and the processor is configured to execute the steps by calling the computer program:
freezing the application program with the use frequency lower than a preset threshold according to the use habit of the user;
analyzing the display interface to obtain the corresponding defrosting information of the display interface;
inputting the defrosting information into a learning library, and determining a target application identifier associated with the defrosting information;
and controlling the target application program corresponding to the target application identifier to defrost.
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Technical solutions and other advantageous effects of the present application will be made apparent from the following detailed description of specific embodiments of the present application with reference to the accompanying drawings.
Fig. 1 is a flowchart of a method for managing an application program according to an embodiment of the present application.
Fig. 2 is another flow chart of a method for managing an application program according to an embodiment of the present application.
Fig. 3 is a schematic view of a scenario of an application management method according to an embodiment of the present application.
Fig. 4 is another schematic view of a management method of an application provided in an embodiment of the present application.
Fig. 5 is a schematic block diagram of an application management device according to an embodiment of the present application.
Fig. 6 is another schematic block diagram of an application management apparatus according to an embodiment of the present application.
Fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Fig. 8 is another schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Referring to the drawings, wherein like reference numbers refer to like elements throughout, the principles of the present application are illustrated as being implemented in a suitable computing environment. The following description is based on the illustrated embodiments of the present application and should not be taken as limiting other embodiments not described in detail herein.
The term "module" as used herein may be considered as a software object executing on the computing system. The various components, modules, engines, and services described herein may be viewed as implementing objects on the computing system. The apparatus and method described herein are preferably implemented in software, but may of course also be implemented in hardware, all within the scope of the present application.
The embodiment of the application provides a method for managing an application, and an execution subject of the method for managing an application may be an application management device provided in the embodiment of the application, or an electronic device integrated with the application management device, where the application management device may be implemented in a hardware or software manner. The electronic device may be a smart phone, a tablet computer, a palm computer (PDA, personal Digital Assistant), etc.
Specific analysis is described below.
The embodiment of the invention provides a management method of an application program, which comprises the following steps:
freezing the application program with the use frequency lower than a preset threshold according to the use habit of the user;
analyzing the display interface to obtain the corresponding defrosting information of the display interface;
Inputting the thawing information into a learning library, and determining a target application identifier associated with the thawing information;
and controlling the target application program corresponding to the target application identifier to defrost.
In one embodiment, the step of analyzing the display interface to obtain the thawing information corresponding to the display interface may include: analyzing the display interface to obtain text information in the display interface; the text information is determined as defrosting information.
In one embodiment, the step of analyzing the display interface to obtain text information in the display interface may include: analyzing the voice information in the display interface, and identifying corresponding text information in the voice information; analyzing the image information in the display interface, and identifying corresponding text information in the image information; and extracting the text information in the display interface to obtain corresponding text information in the text information.
In one embodiment, the step of analyzing the display interface to obtain the thawing information corresponding to the display interface may include: analyzing the display interface to obtain text information in the display interface and corresponding application identifiers of the display interface; the text information and the application identification are determined as defrosting information.
In one embodiment, the step of inputting the thawing information into a learning library and determining the target application identifier associated with the thawing information may include: inputting the text information into a learning library, and determining corresponding target text information in the text information and a first application identifier associated with the target text information; inputting the application identifier into a learning library, and determining a second application identifier associated with the application identifier; and determining the first application identifier and the second application identifier as target application identifiers.
In one embodiment, the step of controlling the target application program corresponding to the target application identifier to defrost may include: acquiring a target application program corresponding to a target application identifier, and determining a corresponding starting probability of the target application program; thawing the target application when the launch probability is greater than a use threshold; and setting the target application program to be in a state to be unfrozen when the starting probability is not greater than the use threshold.
In one embodiment, after the step of controlling the target application program corresponding to the target application identifier to defrost, the method may further include: starting timing, and detecting whether a target application program in a to-be-thawed state is started in a correlated mode within preset time; when the target application program in the state of being defrosted is detected to be started in a correlation way within the preset time, the target application program in the state of being defrosted is defrosted, and the defrosted target application program is started; and when detecting that the target application program in the state to be unfrozen is not associated to be started within the preset time, restoring the target application program in the state to be unfrozen to a frozen state.
An embodiment of the present application provides a method for managing an application, as shown in fig. 1, fig. 1 is a flow chart of the method for managing an application provided in the embodiment of the present application, where the method for managing an application may include the following steps:
in step S101, according to the usage habit of the user, the application program whose usage frequency is lower than the preset threshold is frozen.
It should be noted that, although various applications, such as a game application, an office application, and an audio application, are installed on the electronic device, the number of times of application use is different in the usual use process of the user, so that the use frequency of each application is different, and for applications with low use frequency, i.e. applications that are not commonly used, the electric quantity and memory resources of the mobile phone are consumed when the application runs in the background, and the use and cruising duration of the mobile phone are affected.
The electronic device forms the use frequency of each application program according to the habit of using the application program by the user in usual, for example, the times of opening each application program by the user is recorded for a period of time, the preset threshold value can be set manually by the user, if the user needs to freeze more application programs, the preset threshold value can be lowered, when the user does not need to freeze more application programs, the preset threshold value can be raised, the corresponding use frequency of each application program is further compared with the preset threshold value, the application program lower than the preset threshold value is frozen, the application program is temporarily frozen, the application program is still in the state of being incapable of running and occupying memory, which is equivalent to an uninstalled state, and in fact, normal use can be carried out only after thawing.
In step S102, the display interface is analyzed, and the thawing information corresponding to the display interface is obtained.
It can be understood that, in the current application program freezing method, an application program to be frozen is put into a frozen white list of an electronic device, and when a user needs to defrost, the application program can be manually removed from the frozen white list to complete the defrosting, so that the frozen application program can be used continuously.
The display interface is a current application display interface, such as a display interface of a game application program, a display interface of an office application program, a display interface of electronic equipment short message information, a display interface of an audio application and the like, the electronic equipment can perform intelligent analysis on the current application display interface to obtain defrosting information of the current display interface, and the defrosting information is reference information for the defrosting application program and can be text information and/or application identification and the like. Therefore, the text information or the application identifier correspondingly displayed on the current display interface can be used as defrosting information so as to be used as the basis for defrosting the application program later, so that manual adding, deleting and modifying operations on the application program in the frozen white list are not needed, and the operation efficiency of a user and the intelligence of application management are improved.
In some embodiments, the step of analyzing the display interface to obtain the thawing information corresponding to the display interface may include:
(1) Analyzing the display interface to obtain text information in the display interface;
(2) The text information is determined as defrosting information.
The electronic device can analyze the display interface to obtain text information in the display interface, and if the current electronic device is to open the short message interface, text content of the short message in the display interface can be directly obtained as defrosting information.
In one embodiment, when the voice information appears on the display interface, the voice information can be intelligently analyzed, corresponding text information in the voice information is identified, and the text information corresponding to the voice information is also determined as thawing information. And/or when the picture information appears on the display interface, the picture information can be intelligently analyzed, the corresponding text information in the picture information is identified, and the text information corresponding to the picture information is also determined as defrosting information.
In some embodiments, the step of analyzing the display interface to obtain the thawing information corresponding to the display interface may include:
(1.1) analyzing the display interface to obtain a corresponding application identifier of the display interface;
(1.2) determining the application identification as defrost information.
The electronic device may analyze the display interface to obtain a corresponding application identifier in the display interface, if the current electronic device is a game application program, then the electronic device may directly obtain the corresponding application identifier of the game application program, for example, a program name or version number of the game application program, and determine the application identifier as thawing information.
In some embodiments, the step of analyzing the display interface to obtain the thawing information corresponding to the display interface may include:
(2.1) analyzing the display interface to obtain text information in the display interface and corresponding application identifiers of the display interface:
(2.2) determining the text information and the application identification as thawing information.
The electronic device can analyze the display interface and acquire text information in the display interface and application identifiers corresponding to the current display interface, if the current display interface is a chat application program, the electronic device can acquire the chat text information in the display interface and the application identifiers corresponding to the chat application program, such as a program name or version number of the chat application program, and the text information and the application identifiers are determined to be defrosting information.
In step S103, the thawing information is input to the learning library, and the target application identifier associated with the thawing information is determined.
The learning library can automatically record and learn application using habits of a user, for example, can be a learning model formed by an algorithm, particularly can be a learning library formed by a convolutional neural network (Convolutional Neural Networks, CNN) model with a self-learning function, the learning library can record the habits of the user for using application programs normally, for example, when the user uses a certain application program currently, the learning library switches to another application program within a preset time, a sample can be generated for learning, for example, when the user uses a ticket purchasing application program, the user switches to payment software within the preset time of exiting the ticket purchasing application program from the background, and then corresponding application identifiers of the two application programs can be recorded as a sample. The learning library may also include a corresponding association model for keywords, such as "ticket purchase" keywords associated with ticket purchase software, "meal" associated with food software, and so forth.
Further, when the unfreezing information is text information, the whole text information is input into a learning library, the learning library performs screening operation on the whole text information, screens and determines keyword information in the whole text information, and determines associated target application identification according to the keywords. When the defrosting information is the application identifier, as the association information between the application identifiers after intelligent learning exists in the learning library, the input application identifier is input into the learning library, and then the associated target application identifier corresponding to the input application identifier is obtained.
In some embodiments, the step of inputting the thawing information into a learning library, and determining the target application identifier associated with the thawing information may include:
(1) Inputting the text information into a learning library, and determining corresponding target text information in the text information and a first application identifier associated with the target text information;
(2) Inputting the application identifier into a learning library, and determining a second application identifier associated with the application identifier;
(3) And determining the first application identifier and the second application identifier as target application identifiers.
When the text information is input into the learning library, the learning library firstly determines corresponding target text information in the text information, namely keyword information, and determines a first application identifier associated with the keyword information, such as a certain food application identifier associated with a 'eating' keyword. And inputting the application identifiers into a learning library, and determining a second application identifier associated with the application identifiers, such as a ticket purchasing application identifier associated with a certain payment application identifier, by the learning library according to the learned user habits.
In step S104, the target application program corresponding to the target application identifier is controlled to defrost.
The learning record in the learning library is the usual use habit of the user, the target application identifier input by the learning library according to the thawing information is the application program which the user is likely to use in the next time, and if the target application identifier corresponds to the target application program in a frozen state, the user can only remove the target application program from the frozen white list manually and can continue to use the target application program, so that the use efficiency of the user is greatly affected and the operation complexity of the user is increased.
Therefore, the electronic equipment can control the target application program corresponding to the target application identifier to automatically defrost, so that the electronic equipment can be continuously used after being used by a user, the efficiency of user operation is saved, and seamless intelligent defrosting is realized.
In some embodiments, the step of controlling the target application program corresponding to the target application identifier to defrost may include:
(1) Acquiring a target application program corresponding to a target application identifier, and determining a corresponding starting probability of the target application program;
(2) Thawing the target application when the launch probability is greater than a use threshold;
(3) And setting the target application program to be in a state to be unfrozen when the starting probability is not greater than the use threshold.
The electronic device may first obtain a target application program for which the target application identifier is specific, and determine a starting probability of the target application program according to a habit of a user, where the use threshold is a critical value defining a probability that the target application program is used by the user, and when the starting probability is greater than the use threshold, it indicates that the target application program is most likely to be used by the user next, and then the target application program may be directly thawed. When the starting probability is not greater than the use threshold, the target application program may not be used by the user, the target application program may be set to a to-be-unfrozen state, the to-be-unfrozen state is a mode of a frozen state, a temporary icon of the target application program may be displayed in a user interface when the target application program is in the to-be-unfrozen state, the target application program is unfrozen when the user clicks the temporary icon, and if the user does not click the temporary icon within a period of time, the temporary icon is deleted, and the frozen state of the target application program is restored.
As can be seen from the above, in the application program management method provided in the present embodiment, the application program with the frequency of use lower than the preset threshold is frozen according to the use habit of the user; analyzing the display interface to obtain the corresponding defrosting information of the display interface; inputting the defrosting information into a learning library, and determining a target application identifier associated with the defrosting information; and controlling the target application program corresponding to the target application identifier to defrost. According to the application program management method and the application program management system, the application program which is not used frequently can be automatically frozen according to the use habit of the user, the normal use state of the user is monitored, when defrosting information appears in the use interface, the corresponding application program is automatically defrosted according to the user behavior learned by the learning library, automation of application program management is realized, and the management efficiency of the application program is improved.
The method described in the above embodiments is described in further detail below by way of example.
Referring to fig. 2, fig. 2 is another flow chart of a management method of an application program according to an embodiment of the present application.
Specifically, the method comprises the following steps:
in step S201, according to the usage habit of the user, the application program whose usage frequency is lower than the preset threshold is frozen.
In order to better explain the application, the electronic device is exemplified by a mobile phone, and various application programs are installed in the mobile phone, but in the normal use process of the user, the application programs are used for different times and frequency, and for application programs with low use frequency, the power and memory resources of the mobile phone are consumed when the application programs are operated in the background, so that the cruising of the mobile phone is affected.
At present, although a frozen white list is set in a mobile phone, a user can actively input an application program with the use frequency lower than a preset threshold value into the frozen white list, so that the application program can not run and occupy memory although still in the state of being in an uninstalled state, corresponding icons of the application program are also hidden, and when the user needs to use again, the application program is removed from the frozen white list to restore normal use, but the efficiency of manual setting is too low, missing situations easily occur, and the use of the user is influenced.
In this application, a period of time, such as a week, may be recorded, and the number of times that a user opens each application program may be counted, to form a frequency of use of each application program, where the preset threshold may be set according to a user requirement, and if the user needs to freeze more application programs, the preset threshold may be lowered, and if the user needs to freeze more application programs, the preset threshold may be raised. The preset threshold value can be automatically adjusted according to the mobile phone electric quantity, if the mobile phone electric quantity is higher, the application programs do not need to be frozen, the preset threshold value can be adjusted down, and if the mobile phone electric quantity is lower, the application programs need to be frozen more, and the preset threshold value can be adjusted up.
Further, application programs with the use frequency lower than a preset threshold value are automatically frozen.
In step S202, the display interface is analyzed, and text information in the display interface and a corresponding application identifier of the display interface are obtained.
The mobile phone analyzes the display interface, can directly acquire text information, can perform text recognition on the picture information when the picture information exists on the display interface, acquires the text information in the picture information, can perform semantic analysis on the voice information when the voice information exists on the display interface, identifies the text information in the voice information, and can acquire application identifiers of corresponding application programs of the display interface.
As shown in fig. 3, the handset 100 obtains the text information "fast past year," when you purchased a ticket, "and" when tickets have been pre-sold, i am robbing "in the application interface of" XX application. And the corresponding application identification "chat application 1" for "XX application". Or (b)
As shown in fig. 4, when the display interface has no text information, the mobile phone 100 directly acquires the application identifier "photographing application 1" corresponding to "XXX application".
In step S203, the text information and the application identifier are determined as defrosting information.
As shown in fig. 3, the cell phone 100 directly sends the text message "fast past year, do you buy a ticket" and "ticket has started to be pre-sold, i am robbing". And the application identification "chat application 1" corresponding to the "XX application" is determined as defrosting information. Or (b)
As shown in fig. 4, the mobile phone 100 determines an application identification "photographing application 1" corresponding to "XXX application" as thawing information.
In step S204, the text information is input into the learning library, and corresponding target text information in the text information and a first application identifier associated with the target text information are determined.
The mobile phone inputs the acquired text information into a learning library, determines keyword information in the text information, namely target text information, and acquires an associated first application identifier according to the keyword information in the learning library.
As shown in fig. 3, the mobile phone 100 inputs the text information "fast past year, you have purchased the ticket" and "ticket has started to be pre-sold," i am robbing "into the learning library, determines the keyword" ticket "in the text information, and can acquire the first application identifier" ticket purchasing software 1 "corresponding to the target text information" ticket "
In step S205, the application identifier is input to the learning library, the second application identifier associated with the application identifier is determined, and the first application identifier and the second application identifier are determined as target application identifiers.
The mobile phone inputs the application identifier into a learning library, obtains a second application identifier which is associated with the application identifier and has a maximum use probability according to the learned user behavior, and determines the first application identifier and the second application identifier together as a target application identifier.
As shown in fig. 3, the mobile phone 100 inputs the application identifier "chat application 1" into the learning library, obtains the second application identifier "map application 1" associated with the application identifier "chat application 1", and determines the "ticket purchasing software 1" and the "map application 1" as target application identifiers. Or (b)
As shown in fig. 4, the mobile phone 100 inputs an application identifier "photographing application 1" into a learning library, obtains a second application identifier "beauty application 1" associated with the application identifier "photographing application 1", and determines the "beauty application 1" as a target application identifier.
In step S206, a target application program corresponding to the target application identifier is acquired, and a corresponding start probability of the target application program is determined.
The mobile phone obtains a target application program corresponding to the target application identifier, and determines a corresponding start probability of the target application program, as shown in fig. 3, the mobile phone 100 obtains a target application program "under the ticket" corresponding to the "ticket purchasing software 1" and a target application program "searching map" corresponding to the "map application 1". And the "under ticket software" start probability is 0.8, and the "search map" start probability is 0.4 percent. As shown in fig. 4, the mobile phone 100 obtains a target application program "mei xiu" corresponding to "mei xiu 1", and a start probability of "mei xiu" is 0.7.
In step S207, it is detected whether the startup probability is greater than the use threshold.
The usage threshold is a threshold for determining whether the application is likely to be started, for example, 0.5, and when the startup probability is detected to be greater than the usage threshold, step S208 is executed. When it is detected that the startup probability is not greater than the use threshold, step S209 is executed.
In step S208, the target application program is thawed.
When the starting probability is detected to be larger than the use threshold, the target application program is indicated to be most likely to be used, and the target application program can be directly thawed.
As shown in fig. 3, the "under ticket software" has a start probability of 0.8, which is greater than the use threshold value of 0.5, so that the user is highly likely to use the "under ticket software", so that the "under ticket software" can be automatically thawed. Or as shown in fig. 4, the "beautiful drawing show" has a starting probability of 0.7 which is greater than the use threshold value of 0.5, so that the user is very likely to use the "beautiful drawing show", and the "beautiful drawing show" can be automatically thawed.
In step S209, the target application is set to a state to be thawed.
When the starting probability is detected to be not greater than the use threshold, the probability of using the target application is indicated to be large, in order to prevent the target application from still being used by a user, the target application can be set into a state to be thawed, the state to be thawed is a mode of freezing, when the target application is in the state to be thawed, a temporary icon of the target application can be displayed in a user interface, and when the user clicks the temporary icon, the target application is thawed.
As shown in fig. 3, the start probability of the "search map" is 0.4 percent, which is not greater than the use probability of "0.5", and then the "search map" may be set to a state to be defrosted, a temporary icon of the "search map" is set in the user interface, and when the user clicks the temporary icon, the "search map" is defrosted.
In step S210, a timer is started, and it is detected whether the target application program in a state to be thawed is started in association within a preset time.
After the target application program is set to be in a state to be defrosted, starting time counting, wherein the preset time can be 30 minutes, and detecting whether a user clicks a temporary icon corresponding to the target application program in the state to be defrosted within 30 minutes is needed.
In step S211, when it is detected that the target application program in the state to be defrosted is started in association within the preset time, the target application program in the state to be defrosted is defrosted, and the defrosted target application program is started.
When it is detected that the user clicks the temporary icon corresponding to the target application program in the state to be defrosted within 30 minutes, the target application program in the state to be defrosted can be defrosted directly.
In step S212, when it is detected that the target application program in the state to be thawed is not associated to be started within the preset time, the target application program in the state to be thawed is restored to the frozen state.
When detecting that the user does not click on the temporary icon corresponding to the target application program in the state to be defrosted within 30 minutes, the user can delete the temporary icon and restore the frozen state of the target application program without using the target application program in the state to be defrosted.
As can be seen from the foregoing, in the application program management method provided in this embodiment, according to the usage habit of the user, the application program with the usage frequency lower than the preset threshold is frozen, the display interface is analyzed, the text information in the display interface and the application identifier corresponding to the display interface are obtained as the thawing information, the thawing information is input into the learning library, the first application identifier corresponding to the text information and the second application identifier corresponding to the application identifier are determined, the first application identifier and the second application identifier are used as the target application identifier, the target application program is thawed correspondingly according to the starting probability of the target application program corresponding to the target identifier, the target application program with the high starting probability is thawed, and the target application program with the low starting probability is set to be in a state to be thawed. According to the application program management method and the application program management system, the application program which is not commonly used can be automatically frozen according to the use habit of the user, the normal use state of the user is monitored, when the text information and the application identifier appear in the use interface, the corresponding target application program of the text information and the application identifier is determined according to the user behavior learned by the learning library, and automatic thawing is carried out, so that the automation of application program management is realized, and the management efficiency of the application program is improved.
In order to facilitate better implementation of the application management method provided by the embodiment of the application, the embodiment of the application also provides a device based on the application management method. Where the meaning of nouns is the same as in the above-described application management method, specific implementation details may be referred to in the description of the method embodiment.
The embodiment of the invention provides a management device of an application program, which comprises:
the freezing unit is used for freezing the application programs with the use frequency lower than a preset threshold according to the use habit of the user;
the analysis unit is used for analyzing the display interface and acquiring the corresponding defrosting information of the display interface;
the determining unit is used for inputting the thawing information into the learning library and determining a target application identifier associated with the thawing information;
and the defrosting unit is used for controlling the target application program corresponding to the target application identifier to defrost.
In one embodiment, the analysis unit may include: the analysis subunit is used for analyzing the display interface and acquiring text information in the display interface and corresponding application identifiers of the display interface; and the determining subunit is used for determining the text information and the application identifier as defrosting information.
In one embodiment, the determining unit may include: the first input subunit is used for inputting the text information into a learning library and determining corresponding target text information in the text information and a first application identifier associated with the target text information; a second input subunit, configured to input the application identifier into a learning library, and determine a second application identifier associated with the application identifier; and the determining subunit is used for determining the first application identifier and the second application identifier as target application identifiers.
In one embodiment, the thawing unit is specifically configured to: acquiring a target application program corresponding to a target application identifier, and determining a corresponding starting probability of the target application program; thawing the target application when the launch probability is greater than a use threshold; and setting the target application program to be in a state to be unfrozen when the starting probability is not greater than the use threshold.
In one embodiment, the apparatus further comprises: the detection unit is used for starting timing and detecting whether a target application program in a to-be-thawed state is started in a correlated mode within preset time; the starting unit is used for unfreezing the target application program in the state to be unfrozen and starting the unfrozen target application program when the target application program in the state to be unfrozen is detected to be associated and started within the preset time; and the recovery unit is used for recovering the target application program in the state to be defrosted to the frozen state when the target application program in the state to be defrosted is detected to be not associated to be started within the preset time.
Referring to fig. 5, fig. 5 is a schematic block diagram of an application management device according to an embodiment of the present application. Specifically, the application management apparatus 300 includes: a freezing unit 31, an analyzing unit 32, a determining unit 33, and a thawing unit 34.
And a freezing unit 31, configured to freeze the application program with the frequency of use lower than the preset threshold according to the use habit of the user.
The freezing unit 31 forms the use frequency of each application program according to the habit of using the application program normally by the user, for example, records the number of times that the user opens each application program for a period of time, the preset threshold value can be set manually by the user, if the user needs to freeze more application programs, the preset threshold value can be lowered, when the user does not need to freeze more application programs, the preset threshold value can be raised, further the corresponding use frequency of each application program is compared with the preset threshold value, and the application program lower than the preset threshold value is frozen, wherein the freezing refers to temporarily freezing the application program, and although the application program is still in the state, the application program cannot run and occupy the memory, which is equivalent to an uninstalled state, and in fact, normal use can be performed only after thawing.
And the analysis unit 32 is used for analyzing the display interface and acquiring the corresponding defrosting information of the display interface.
The analysis unit 32 may perform intelligent analysis on the current application display interface to obtain thawing information of the current display interface, where the thawing information is reference information for thawing an application program, and may be text information and/or an application identifier. Therefore, the text information or the application identifier correspondingly displayed on the current display interface can be used as defrosting information so as to be used as the basis for defrosting the application program later, so that manual adding, deleting and modifying operations on the application program in the frozen white list are not needed, and the operation efficiency of a user and the intelligence of application management are improved.
In some embodiments, the analysis unit 33 is specifically configured to analyze the display interface to obtain text information in the display interface; the text information is determined as defrosting information.
In some embodiments, the analysis unit 33 is specifically configured to analyze the voice information in the display interface, and identify corresponding text information in the voice information; analyzing the image information in the display interface, and identifying corresponding text information in the image information; extracting text information in a display interface to obtain corresponding text information in the text information; and determining the text information as defrosting information.
A determining unit 33, configured to input the thawing information into a learning library, and determine a target application identifier associated with the thawing information.
The learning library can automatically record and learn application using habits of a user, for example, can be a learning model formed by an algorithm, particularly can be a learning library formed by a convolutional neural network (Convolutional Neural Networks, CNN) model with a self-learning function, the learning library can record the habits of the user for using application programs normally, for example, when the user uses a certain application program currently, the learning library switches to another application program within a preset time, a sample can be generated for learning, for example, when the user uses a ticket purchasing application program, the user switches to payment software within the preset time of exiting the ticket purchasing application program from the background, and then corresponding application identifiers of the two application programs can be recorded as a sample. The learning library may also include a corresponding association model for keywords, such as "ticket purchase" keywords associated with ticket purchase software, "meal" associated with food software, and so forth.
Further, when the defrosting information is text information, the determining unit 33 inputs the entire text information into the learning library, and the learning library performs a filtering operation on the entire text information, filters and determines keyword information in the entire text information, and determines an associated target application identifier according to the keywords. When the defrosting information is the application identifier, since the learning library has the association information between the application identifiers after the intelligent learning, the determining unit 33 obtains the target application identifier associated with the input application identifier after inputting the application identifier into the learning library.
And the thawing unit 34 is used for controlling the target application program corresponding to the target application identifier to thaw.
The learning record in the learning library is the usual use habit of the user, the target application identifier input by the learning library according to the thawing information is the application program which the user is likely to use in the next time, and if the target application identifier corresponds to the target application program in a frozen state, the user can only remove the target application program from the frozen white list manually and can continue to use the target application program, so that the use efficiency of the user is greatly affected and the operation complexity of the user is increased.
Therefore, the thawing unit 34 can control the target application program corresponding to the target application identifier to automatically thaw, so that the target application program can be used continuously after the target application program is used by a user, the efficiency of user operation is saved, and seamless intelligent thawing is realized.
In some embodiments, the thawing unit 34 is specifically configured to obtain a target application program corresponding to the target application identifier, and determine a corresponding start probability of the target application program; thawing the target application when the launch probability is greater than a use threshold; and setting the target application program to be in a state to be unfrozen when the starting probability is not greater than the use threshold.
The detecting unit 35 is configured to start timing, and detect whether to start the target application program in a state to be thawed in association within a preset time.
And a starting unit 36, configured to, when detecting that the target application program in the state to be thawed is associated and started within the preset time, defrost the target application program in the state to be thawed, and start the target application program after being thawed.
A restoring unit 37, configured to restore the target application program in the state to be thawed to a frozen state when it is detected that the target application program in the state to be thawed is not associated to be started within a preset time.
Referring to fig. 6 together, fig. 6 is another schematic block diagram of an application management device according to an embodiment of the present application, where the application management device 300 may further include:
the analysis unit 32 may include an analysis subunit 321 and a determination subunit 322, among other things.
Further, the analysis subunit 321 is configured to analyze the display interface to obtain text information in the display interface and a corresponding application identifier of the display interface. The determining subunit 322 is configured to determine the text information and the application identifier as thawing information.
The determining unit 33 may include a first input subunit 331, a second input subunit 332, and a determining subunit 333, among others.
Further, the first input subunit 331 is configured to input the text information into a learning library, and determine corresponding target text information in the text information and a first application identifier associated with the target text information. The second input subunit 332 is configured to input the application identifier into the learning library, and determine a second application identifier associated with the application identifier. The determining subunit 333 is configured to determine the first application identifier and the second application identifier as a target application identifier.
The embodiment of the application also provides electronic equipment. Referring to fig. 7, an electronic device 500 includes a processor 501 and a memory 502. The processor 501 is electrically connected to the memory 502.
The processor 500 is a control center of the electronic device 500, connects various parts of the entire electronic device using various interfaces and lines, and performs various functions of the electronic device 500 and processes data by running or loading computer programs stored in the memory 502 and calling data stored in the memory 502, thereby performing overall monitoring of the electronic device 500.
The memory 502 may be used to store software programs and modules, and the processor 501 may execute various functional applications and data processing by executing the computer programs and modules stored in the memory 502. The memory 502 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, a computer program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data created according to the use of the electronic device, etc. In addition, memory 502 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 502 may also include a memory controller to provide access to the memory 502 by the processor 501.
In the embodiment of the present application, the processor 501 in the electronic device 500 loads the instructions corresponding to the processes of one or more computer programs into the memory 502 according to the following steps, and the processor 501 executes the computer programs stored in the memory 502, so as to implement various functions, as follows:
freezing the application program with the use frequency lower than a preset threshold according to the use habit of the user;
analyzing the display interface to obtain the corresponding defrosting information of the display interface;
inputting the thawing information into a learning library, and determining a target application identifier associated with the thawing information;
and controlling the target application program corresponding to the target application identifier to defrost.
In some embodiments, when analyzing the display interface and obtaining the thawing information corresponding to the display interface, the processor 501 may specifically execute the following steps:
analyzing the display interface to obtain text information in the display interface;
the text information is determined as defrosting information.
In some embodiments, when analyzing the display interface to obtain text information in the display interface, the processor 501 may specifically perform the following steps:
analyzing the voice information in the display interface, and identifying corresponding text information in the voice information;
Analyzing the image information in the display interface, and identifying corresponding text information in the image information;
and extracting the text information in the display interface to obtain corresponding text information in the text information.
In some embodiments, when analyzing the display interface and obtaining the thawing information corresponding to the display interface, the processor 501 may specifically execute the following steps:
analyzing the display interface to obtain text information in the display interface and corresponding application identifiers of the display interface;
the text information and the application identification are determined as defrosting information.
In some embodiments, when the thawing information is input into the learning library and the target application identifier associated with the thawing information is determined, the processor 501 may specifically perform the following steps:
inputting the text information into a learning library, and determining corresponding target text information in the text information and a first application identifier associated with the target text information;
inputting the application identifier into a learning library, and determining a second application identifier associated with the application identifier;
and determining the first application identifier and the second application identifier as target application identifiers.
In some embodiments, when controlling the target application program corresponding to the target application identifier to defrost, the processor 501 may specifically perform the following steps:
Acquiring a target application program corresponding to a target application identifier, and determining a corresponding starting probability of the target application program;
thawing the target application when the launch probability is greater than a use threshold;
and setting the target application program to be in a state to be unfrozen when the starting probability is not greater than the use threshold.
In some embodiments, after controlling the target application program corresponding to the target application identifier to defrost, the processor 501 may specifically further perform the following steps:
starting timing, and detecting whether a target application program in a to-be-thawed state is started in a correlated mode within preset time;
when the target application program in the state of being defrosted is detected to be started in a correlation way within the preset time, the target application program in the state of being defrosted is defrosted, and the defrosted target application program is started;
and when detecting that the target application program in the state to be unfrozen is not associated to be started within the preset time, restoring the target application program in the state to be unfrozen to a frozen state.
Referring to fig. 8, in some embodiments, the electronic device 500 may further include: a display 503, radio frequency circuitry 504, audio circuitry 505, and a power supply 506. Wherein, the display 503, the radio frequency circuit 504, the audio circuit 505 and the power supply 506 are electrically connected to the processor 501 respectively.
The display 503 may be used to display information entered by a user or provided to a user as well as various graphical user interfaces that may be composed of graphics, text, icons, video, and any combination thereof. The display 503 may include a display panel, which in some embodiments may be configured in the form of a liquid crystal display (Liquid Crystal Display, LCD), or an Organic Light-Emitting Diode (OLED), or the like.
The rf circuitry 504 may be configured to receive and transmit rf signals to and from a network device or other electronic device via wireless communication to establish wireless communication with the network device or other electronic device.
The audio circuit 505 may be used to provide an audio interface between a user and an electronic device through a speaker, microphone.
The power supply 506 may be used to power the various components of the electronic device 500. In some embodiments, the power supply 506 may be logically connected to the processor 501 through a power management system, so as to perform functions of managing charging, discharging, and power consumption management through the power management system.
Although not shown in fig. 8, the electronic device 500 may further include a camera, a bluetooth module, etc., which will not be described herein.
The present application also provides a storage medium storing a computer program, which when executed on a computer, causes the computer to execute the method for managing an application program in any one of the above embodiments, for example: freezing the application program with the use frequency lower than a preset threshold according to the use habit of the user; analyzing the display interface to obtain the corresponding defrosting information of the display interface; inputting the thawing information into a learning library, and determining a target application identifier associated with the thawing information; and controlling the target application program corresponding to the target application identifier to defrost.
In the embodiment of the present application, the storage medium may be a magnetic disk, an optical disk, a Read Only Memory (ROM), a random access Memory (Random Access Memory, RAM), or the like.
It should be noted that, for the method for managing an application program in the embodiment of the present application, it will be understood by those skilled in the art that all or part of the flow of implementing the method for managing an application program in the embodiment of the present application may be implemented by controlling related hardware by using a computer program, where the computer program may be stored in a computer readable storage medium, such as a memory of an electronic device, and executed by at least one processor in the electronic device, and the execution may include the flow of the embodiment of the method for managing an application program. The storage medium may be a magnetic disk, an optical disk, a read-only memory, a random access memory, etc.
For the management device of the application program in the embodiment of the present application, each functional module may be integrated in one processing chip, or each module may exist alone physically, or two or more modules may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated module, if implemented as a software functional module and sold or used as a stand-alone product, may also be stored on a computer readable storage medium such as read-only memory, magnetic or optical disk, etc.
The foregoing describes in detail a method, apparatus, storage medium and electronic device for managing an application program provided in the embodiments of the present application, and specific examples are applied to describe the principles and embodiments of the present application, where the descriptions of the foregoing embodiments are only used to help understand the method and core ideas of the present application; meanwhile, those skilled in the art will have variations in the specific embodiments and application scope in light of the ideas of the present application, and the present description should not be construed as limiting the present application in view of the above.

Claims (14)

1. An application program management method is applied to electronic equipment, and comprises the following steps:
freezing an application program with the use frequency lower than a preset threshold according to the use habit of a user, wherein the preset threshold is determined according to the electric quantity of the electronic equipment, and the preset threshold is inversely related to the electric quantity;
analyzing the display interface to obtain the corresponding defrosting information of the display interface;
inputting the defrosting information into a learning library, and determining a first application identifier associated with the defrosting information;
inputting the first application identifier into a learning library, and determining a second application identifier associated with the first application identifier;
determining the first application identifier and the second application identifier as target application identifiers;
acquiring a target application program corresponding to a target application identifier, and determining a corresponding starting probability of the target application program;
when the starting probability is larger than a use threshold, thawing the target application program;
when the starting probability is not greater than a use threshold, setting the target application program to be in a state to be unfrozen;
starting timing, and detecting whether a target application program in a to-be-thawed state is started in a correlated mode within preset time;
When the target application program in the state of being defrosted is detected to be started in a correlation way within the preset time, the target application program in the state of being defrosted is defrosted, and the defrosted target application program is started;
and when detecting that the target application program in the state to be unfrozen is not associated to be started within the preset time, restoring the target application program in the state to be unfrozen to a frozen state.
2. The application program management method according to claim 1, wherein the step of analyzing the display interface to obtain the thawing information corresponding to the display interface includes:
analyzing the display interface to obtain text information in the display interface;
and determining the text information as defrosting information.
3. The application program management method as claimed in claim 2, wherein the step of analyzing the display interface to obtain text information in the display interface comprises:
analyzing the voice information in the display interface, and identifying corresponding text information in the voice information;
analyzing the image information in the display interface, and identifying corresponding text information in the image information;
and extracting the text information in the display interface to obtain corresponding text information in the text information.
4. The application program management method according to claim 1, wherein the step of analyzing the display interface to obtain the thawing information corresponding to the display interface includes:
analyzing the display interface to obtain text information in the display interface and corresponding application identifiers of the display interface;
and determining the text information and the application identifier as defrosting information.
5. The application management method of claim 4, wherein the step of inputting the thawing information into a learning library and determining a first application identification associated with the thawing information comprises:
and inputting the text information into a learning library, and determining corresponding target text information in the text information and a first application identifier associated with the target text information.
6. An application program management device is applied to an electronic device, and comprises:
the freezing unit is used for freezing an application program with the use frequency lower than a preset threshold according to the use habit of a user, wherein the preset threshold is determined according to the electric quantity of the electronic equipment, and the preset threshold is inversely related to the electric quantity;
the analysis unit is used for analyzing the display interface and acquiring the corresponding defrosting information of the display interface;
The determining unit comprises a first input subunit, a second input subunit and a determining subunit, wherein the first input subunit is used for inputting the thawing information into a learning library and determining a first application identifier associated with the thawing information;
the second input subunit is configured to input the first application identifier into a learning library, and determine a second application identifier associated with the first application identifier;
the determining subunit is configured to determine the first application identifier and the second application identifier as target application identifiers;
the thawing unit is used for acquiring a target application program corresponding to the target application identifier and determining the corresponding starting probability of the target application program; when the starting probability is larger than a use threshold, thawing the target application program; when the starting probability is not greater than a use threshold, setting the target application program to be in a state to be unfrozen;
the detection unit is used for starting timing and detecting whether a target application program in a to-be-thawed state is started in a correlated mode within preset time;
the starting unit is used for unfreezing the target application program in the state to be unfrozen and starting the unfrozen target application program when the target application program in the state to be unfrozen is detected to be associated and started within the preset time;
And the recovery unit is used for recovering the target application program in the state to be defrosted to the frozen state when the target application program in the state to be defrosted is detected to be not associated to be started within the preset time.
7. The application management apparatus according to claim 6, wherein the analysis unit includes:
the analysis subunit is used for analyzing the display interface and acquiring text information in the display interface and corresponding application identifiers of the display interface;
and the determining subunit is used for determining the text information and the application identifier as defrosting information.
8. The application management apparatus of claim 7, wherein the first input subunit is specifically configured to:
and inputting the text information into a learning library, and determining corresponding target text information in the text information and a first application identifier associated with the target text information.
9. A storage medium having stored thereon a computer program, wherein the computer program, when run on a computer, causes the computer to perform the method of managing an application program according to claim 1.
10. An electronic device comprising a processor and a memory, the memory having a computer program, wherein the processor is configured to perform the steps of:
Freezing the application program with the use frequency lower than a preset threshold according to the use habit of the user;
analyzing the display interface to obtain the corresponding defrosting information of the display interface;
inputting the defrosting information into a learning library, and determining a first application identifier associated with the defrosting information;
inputting the first application identifier into a learning library, and determining a second application identifier associated with the first application identifier;
determining the first application identifier and the second application identifier as target application identifiers;
acquiring a target application program corresponding to a target application identifier, and determining a corresponding starting probability of the target application program;
when the starting probability is larger than a use threshold, thawing the target application program;
when the starting probability is not greater than a use threshold, setting the target application program to be in a state to be unfrozen;
starting timing, and detecting whether a target application program in a to-be-thawed state is started in a correlated mode within preset time;
when the target application program in the state of being defrosted is detected to be started in a correlation way within the preset time, the target application program in the state of being defrosted is defrosted, and the defrosted target application program is started;
And when detecting that the target application program in the state to be unfrozen is not associated to be started within the preset time, restoring the target application program in the state to be unfrozen to a frozen state.
11. The electronic device of claim 10, wherein the processor is configured to perform the steps by invoking the computer program:
analyzing the display interface to obtain text information in the display interface;
and determining the text information as defrosting information.
12. The electronic device of claim 11, wherein the processor is configured to perform the steps by invoking the computer program:
analyzing the voice information in the display interface, and identifying corresponding text information in the voice information;
analyzing the image information in the display interface, and identifying corresponding text information in the image information;
and extracting the text information in the display interface to obtain corresponding text information in the text information.
13. The electronic device of claim 10, wherein the processor is configured to perform the steps by invoking the computer program:
analyzing the display interface to obtain text information in the display interface and corresponding application identifiers of the display interface;
And determining the text information and the application identifier as defrosting information.
14. The electronic device of claim 13, wherein the processor is configured to perform the steps by invoking the computer program:
and inputting the text information into a learning library, and determining corresponding target text information in the text information and a first application identifier associated with the target text information.
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