CN112997151A - Application program management method and device, storage medium and electronic equipment - Google Patents
Application program management method and device, storage medium and electronic equipment Download PDFInfo
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- CN112997151A CN112997151A CN201880099390.9A CN201880099390A CN112997151A CN 112997151 A CN112997151 A CN 112997151A CN 201880099390 A CN201880099390 A CN 201880099390A CN 112997151 A CN112997151 A CN 112997151A
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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
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- 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
Abstract
A management method, device, storage medium and electronic equipment of application program, the processing method includes according to users' use habit, freeze the application program with frequency of use lower than the preset threshold value (S101); acquiring unfreezing information corresponding to a display interface (S102); inputting the unfreezing information into a learning base, and determining a target application identifier associated with the unfreezing information (S103); and controlling the target application program corresponding to the target application identification to unfreeze (S104). The processing method improves the management efficiency of the application program.
Description
The present application 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.
With the continuous development of electronic technology, electronic devices such as mobile phones have increasingly powerful functions, and various applications can be installed in the mobile phones to meet the requirements of users and bring more convenience to the life and work of the users.
Many application programs can be automatically set to start after being installed by a user, namely after the user starts terminal equipment, the application can be automatically started and run in the background no matter whether the user opens the application or not, and for some application programs which are not frequently used by the user, the electric quantity and the memory resources of the mobile phone can be consumed when the application programs run in the background, so that the use and the endurance of the mobile phone are influenced.
At present, in order to avoid waste of power and memory resources of a mobile phone caused by background running of infrequently used application programs, a user can manually add the infrequently used application programs into a frozen white list to freeze the infrequently used application programs, but the method requires the user to continuously and manually update the white list, so that the management efficiency of the application programs is low.
Disclosure of Invention
The embodiment of the application provides a management method and device of an application program, a storage medium and an electronic device, and management efficiency of the application program can be improved.
In a first aspect, an embodiment of the present application provides a method for managing an application program, including:
freezing the application programs with the use frequency lower than a preset threshold value according to the use habits of users;
analyzing the display interface to obtain corresponding unfreezing information of the display interface;
inputting the unfreezing information into a learning library, and determining a target application identifier associated with the unfreezing information;
and controlling the target application program corresponding to the target application identifier to be unfrozen.
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 value according to the use habits of users;
the analysis unit is used for analyzing the display interface and acquiring corresponding unfreezing information of the display interface;
the determining unit is used for inputting the unfreezing information into a learning library and determining a target application identifier associated with the unfreezing information;
and the unfreezing unit is used for controlling the target application program corresponding to the target application identifier to be unfrozen.
In a third aspect, a storage medium is provided in this application, where a computer program is stored, and when the computer program runs on a computer, the computer is caused to execute the management method for an application program provided in any embodiment of this 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, by calling the computer program, is configured to perform the steps of:
freezing the application programs with the use frequency lower than a preset threshold value according to the use habits of users;
analyzing the display interface to obtain corresponding unfreezing information of the display interface;
inputting the unfreezing information into a learning library, and determining a target application identifier associated with the unfreezing information;
and controlling the target application program corresponding to the target application identifier to be unfrozen.
The technical solution and other advantages of the present application will become apparent from the detailed description of the embodiments of the present application with reference to the accompanying drawings.
Fig. 1 is a schematic flowchart of a management method for an application program according to an embodiment of the present application.
Fig. 2 is another schematic flow chart of a management method of an application program according to an embodiment of the present application.
Fig. 3 is a scene schematic diagram of a management method of an application program according to an embodiment of the present application.
Fig. 4 is another schematic view of a scenario of a management method of an application program according to an embodiment of the present application.
Fig. 5 is a schematic block diagram of an application management apparatus according to an embodiment of the present application.
Fig. 6 is another block diagram of an application management apparatus according to an embodiment of the present disclosure.
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.
Referring to the drawings, wherein like reference numbers refer to like elements, the principles of the present application are illustrated as being implemented in a suitable computing environment. The following description is based on illustrated embodiments of the application and should not be taken as limiting the application with respect to other embodiments that are not detailed herein.
The term "module" as used herein may be considered a software object executing on the computing system. The various components, modules, engines, and services described herein may be viewed as objects implemented on the computing system. The apparatus and method described herein are preferably implemented in software, but may also be implemented in hardware, and are within the scope of the present application.
An execution main body of the application management method may be a management device of the application provided in the embodiment of the present application, or an electronic device integrated with the management device of the application, where the management device of the application may be implemented in a hardware or software manner. The electronic device may be a smart phone, a tablet computer, a Personal Digital Assistant (PDA), or the like.
The following is a detailed description of the analysis.
The embodiment of the invention provides a management method of an application program, which comprises the following steps:
freezing the application programs with the use frequency lower than a preset threshold value according to the use habits of users;
analyzing the display interface to obtain corresponding unfreezing information of the display interface;
inputting the unfreezing information into a learning library, and determining a target application identifier associated with the unfreezing information;
and controlling the target application program corresponding to the target application identifier to unfreeze.
In an embodiment, the step of analyzing the display interface and acquiring the thawing information corresponding to the display interface may include: analyzing the display interface to obtain the character information in the display interface; and determining the character information as unfreezing information.
In an embodiment, the step of analyzing the display interface and acquiring the text information in the display interface may include: analyzing the voice information in the display interface, and identifying corresponding character information in the voice information; analyzing the image information in the display interface, and identifying corresponding character information in the image information; and extracting the text information in the display interface to obtain corresponding character information in the text information.
In an embodiment, the step of analyzing the display interface and acquiring the thawing information corresponding to the display interface may include: analyzing the display interface to obtain the text information in the display interface and the application identification corresponding to the display interface; and determining the character information and the application identification as unfreezing information.
In one embodiment, the step of inputting the thawing information into the learning library and determining the target application identifier associated with the thawing information may include: inputting the character information into a learning library, and determining corresponding target character information in the character information and a first application identifier associated with the target character 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 unfreeze may include: acquiring a target application program corresponding to a target application identifier, and determining the corresponding starting probability of the target application program; when the starting probability is larger than a use threshold, unfreezing the target application program; and when the starting probability is not greater than the use threshold, setting the target application program to be in a unfreezing state.
In an embodiment, after the step of controlling the target application program corresponding to the target application identifier to unfreeze, the method may further include: starting timing, and detecting whether a target application program in a to-be-unfrozen state is started in a related manner within a preset time; when detecting that the target application program in the state to be unfrozen is started in a related mode within preset time, unfreezing the target application program in the state to be unfrozen, and starting the unfrozen target application program; and when detecting that the target application program in the to-be-unfrozen state is not related to be started within the preset time, restoring the target application program in the to-be-unfrozen state to the frozen state.
An embodiment of the present application provides a management method for an application, as shown in fig. 1, where fig. 1 is a schematic flow diagram of the management method for an application provided in the embodiment of the present application, and the management method for an application may include the following steps:
in step S101, the application program with the usage frequency lower than the preset threshold is frozen according to the usage habit of the user.
It should be noted that although various applications, such as game applications, office applications, audio applications, and the like, are installed on the electronic device, the frequency of use of each application is different in the process of normal use by the user, and the use frequency of each application is different, and for the application with low use frequency, that is, the application with infrequent use, when running in the background, the power and memory resources of the mobile phone are consumed, which affects the use and duration of the mobile phone.
The electronic device forms the use frequency of each application program according to the habit of the user in using the application programs usually, for example, the number of times that the user opens each application program for a period of time is recorded, the preset threshold value can be set manually for the user, if the user needs to freeze more application programs, the preset threshold value can be reduced, and when the user does not need to freeze more application programs, the preset threshold value can be increased, so that the use frequency corresponding to each application program is compared with the preset threshold value, the application programs lower than the preset threshold value are frozen, the freezing refers to temporarily freezing the application programs, the application programs are still in the state, but cannot run and occupy the memory, which is equivalent to the state of non-installation, and the electronic device can be used normally as long as the application programs are unfrozen.
In step S102, the display interface is analyzed, and the thawing information corresponding to the display interface is obtained.
It can be understood that the current application freezing method is to put the application to be frozen into the frozen white list of the electronic device, and when the user needs to unfreeze, the unfreezing can be completed by manually removing the application from the frozen white list, so that the frozen application can be used continuously.
The electronic device can perform intelligent analysis on the current application display interface to obtain thawing information of the current display interface, wherein the thawing information is reference information for thawing the application program and can be text information and/or application identification and the like. Therefore, the character information or the application identification correspondingly displayed on the current display interface can be used as the unfreezing information so as to be used as the basis for unfreezing the application program in the following process, so that the manual operation of adding, deleting and modifying the application program in the frozen white list is 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 and obtaining the thawing information corresponding to the display interface may include:
(1) analyzing the display interface to obtain the character information in the display interface;
(2) and determining the character information as unfreezing information.
The electronic equipment can analyze the display interface to obtain the text information in the display interface, and if the short message interface is opened currently, the text content of the short message in the display interface can be directly obtained as the unfreezing information.
In one embodiment, when the voice information appears on the display interface, the voice information can be intelligently analyzed, the corresponding text information in the voice information is recognized, and the text information corresponding to the voice information is also determined as the unfreezing information. And/or when the picture information appears on the display interface, intelligently analyzing the picture information, identifying corresponding text information in the picture information, and determining the text information corresponding to the picture information as unfreezing information.
In some embodiments, the step of analyzing the display interface and obtaining the thawing information corresponding to the display interface may include:
(1.1) analyzing the display interface to obtain an application identifier corresponding to the display interface;
(1.2) determining the application identification as thawing information.
The electronic device may analyze the display interface to obtain a corresponding application identifier in the display interface, and if the current electronic device is a game application program, the electronic device may directly obtain the application identifier corresponding to the game application program, such as a program name or a version number of the game application program, and determine the application identifier as the thawing information.
In some embodiments, the step of analyzing the display interface and obtaining the thawing information corresponding to the display interface may include:
(2.1) analyzing the display interface to obtain the text information in the display interface and the corresponding application identification of the display interface;
and (2.2) determining the text information and the application identification as unfreezing information.
The electronic device can analyze the display interface and simultaneously acquire the text information in the display interface and the application identifier corresponding to the current display interface, and if the current display interface is a chat application program, the electronic device can simultaneously acquire the chat text information in the display interface and the application identifier corresponding to the chat application program, such as a program name or a version number of the chat application program, and simultaneously determine the text information and the application identifier as the unfreezing information.
In step S103, the thawing information is input into the learning library, and the target application identifier associated with the thawing information is determined.
The learning library may automatically record and learn application usage habits of the user, for example, may be a learning model composed of an algorithm, and specifically may be a learning library composed of a Convolutional Neural Network (CNN) model having a self-learning function, where the learning library may record a habit that the user uses an application program at ordinary times, and if the user uses a certain application program at present, the learning library is switched to another application program within a preset time, a sample may be generated for learning, and if the user uses a ticket-buying application program, the user switches to payment software within a preset time when the ticket-buying application program exits from a background, and then the application identifiers corresponding to the two application programs may be recorded as a sample. The learning library can also comprise a relevant model corresponding to the keywords, such as a keyword of 'ticket buying' is relevant to certain ticket buying software, a 'meal' is relevant to certain food eating software, and the like.
Further, when the unfreezing information is text information, the whole text information is input into the learning library, the learning library carries out screening operation on the whole text information, keyword information in the whole text information is screened and determined, and the associated target application identification is determined according to the keywords. When the unfreezing information is the application identifier, because the learning library has the associated information between the application identifiers after the intelligent learning, after the application identifier is input into the learning library, the associated target application identifier corresponding to the input application identifier can be obtained.
In some embodiments, the step of inputting the thawing information into the learning library and determining the target application identifier associated with the thawing information may include:
(1) inputting the character information into a learning library, and determining corresponding target character information in the character information and a first application identifier associated with the target character 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.
The method comprises the steps that character information and application identifications can be respectively input into a learning library, when the character information is input into the learning library, the learning library firstly determines corresponding target character information in the character information, namely keyword information, and determines a first application identification associated with the keyword information, such as a certain food application identification associated with a 'eating' keyword. And inputting the application identifier into a learning library, and determining a second application identifier associated with the application identifier by the learning library according to the learned user habit, such as associating a certain payment application identifier with the ticket purchasing application identifier.
In step S104, the target application program corresponding to the control target application identifier is unfrozen.
The target application program input by the learning library according to the unfreezing information is an application program which is likely to be used by the user at the next time, and if the target application program corresponding to the target application program is in a frozen state, the user can only remove the target application program from the frozen white list manually, and then the target application program can be continuously used, so that the use efficiency of the user is greatly influenced, 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 unfreeze, and can be continuously used after being used by a user, so that the efficiency of user operation is saved, and seamless intelligent unfreezing is realized.
In some embodiments, the step of controlling the target application to unfreeze the target application corresponding to the target application identifier may include:
(1) acquiring a target application program corresponding to a target application identifier, and determining the corresponding starting probability of the target application program;
(2) when the starting probability is larger than a use threshold, unfreezing the target application program;
(3) and when the starting probability is not greater than the use threshold, setting the target application program to be in a unfreezing state.
The electronic device may first obtain a target application program corresponding to the target application identifier, and determine a starting probability of the target application program according to a user habit, where the use threshold is a critical value defining a probability that the user uses the target application program, and when the starting probability is greater than the use threshold, it indicates that the user is most likely to use the target application program 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 next, 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, when the target application program is in the to-be-unfrozen state, a temporary icon of the target application program may be displayed in a user interface, when the user clicks the temporary icon, the target application program is unfrozen, 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 recovered.
As can be seen from the above, according to the management method for the application program provided by this embodiment, the application program with the use frequency lower than the preset threshold is frozen according to the use habit of the user; analyzing the display interface to obtain corresponding unfreezing information of the display interface; inputting the unfreezing information into a learning library, and determining a target application identifier associated with the unfreezing information; and controlling the target application program corresponding to the target application identifier to be unfrozen. Therefore, the application programs which are not frequently used can be automatically frozen according to the using habits of the user, the common using state of the user is monitored, when unfreezing information appears in the using interface, the corresponding application programs are automatically unfrozen according to the user behaviors learned by the learning library, the automation of application program management is realized, and the management efficiency of the application programs is improved.
The method described in the above embodiments is further illustrated in detail by way of example.
Referring to fig. 2, fig. 2 is another flow chart illustrating a management method of an application according to an embodiment of the present application.
Specifically, the method comprises the following steps:
in step S201, the application program with the usage frequency lower than the preset threshold is frozen according to the usage habit of the user.
For better explanation of the present application, the electronic device is exemplified by a mobile phone, and various applications are installed in the mobile phone, but in a process of normal use by a user, the number of times and frequency of use of the applications are different, and for the applications with low frequency of use, if the applications are operated in the background, the power and memory resources of the mobile phone are consumed, which affects the duration of the mobile phone.
Although a freezing white list is set in the current mobile phone, a user can actively input an application program with the use frequency lower than a preset threshold into the freezing white list, so that the application program can not run and occupy a memory even though the application program is still in the state, namely, the application program is in an uninstalled state, a corresponding icon of the application program is also hidden, when the user needs to use the application program again, the application program is removed from the freezing white list, and normal use can be recovered, but the manual setting efficiency is too low, and omission easily occurs, so that the use of the user is influenced.
In the application, the frequency of opening each application program by a user can be recorded for a period of time, for example, within a week, to form the use frequency of each application program, the preset threshold value can be set according to the user requirement, if the user needs to freeze more application programs, the preset threshold value can be reduced, and if the user needs to freeze more application programs, the preset threshold value can be increased. The preset threshold value can be automatically adjusted according to the electric quantity of the mobile phone, if the electric quantity of the mobile phone is high, the application programs do not need to be frozen, the preset threshold value can be adjusted to be low, and when the electric quantity of the mobile phone is low, the application programs need to be frozen, and the preset threshold value can be adjusted to be high.
Further, the application programs with the use frequency lower than the preset threshold value, namely the application programs which are not commonly used, are automatically frozen.
In step S202, the display interface is analyzed, and the text information in the display interface and the application identifier corresponding to the display interface are obtained.
The mobile phone analyzes the display interface, can directly acquire character information, can perform character recognition on the picture information when the picture information exists on the display interface, and acquires the character information in the picture information, and can perform semantic analysis on the voice information when the voice information exists on the display interface, so as to recognize the character information in the voice information, and also can acquire an application identifier of an application program corresponding to the display interface.
As shown in fig. 3, the mobile phone 100 acquires the text message "soon after the year, you bought the ticket" and "the ticket has already started to be pre-sold, i.e. i are robbing" in the application interface of "XX application". And the corresponding application of "XX application" identifies "chat application 1". Or
As shown in fig. 4, when there is no text message on the display interface, the mobile phone 100 directly obtains the application identifier "shooting application 1" corresponding to the "XXX application".
In step S203, the character information and the application identification are determined as the thawing information.
As shown in fig. 3, the handset 100 directly sends the text message "soon after the year you have bought the ticket" and "the ticket has started to be pre-sold i.e. i are robbing". And the application identification "chat application 1" corresponding to "XX application" is determined as unfreezing information. Or
As shown in fig. 4, the mobile phone 100 determines the application identifier "shooting application 1" corresponding to the "XXX application" as thawing information.
In step S204, the text information is input into the learning library, and the corresponding target text information in the text information and the first application identifier associated with the target text information are determined.
The mobile phone inputs the acquired character information into a learning library, determines keyword information in the character information, namely target character information, and acquires a related 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 "soon after the year, did you buy the ticket" and "the ticket has already been pre-sold, i't robbed" into the learning library, determines the keyword "ticket" in the text information, and can obtain the first application identifier "ticket purchasing software 1" corresponding to the target text information "ticket".
In step S205, the application identifier is input into the learning library, a second application identifier associated with the application identifier is determined, and the first application identifier and the second application identifier are determined as the target application identifier.
The mobile phone inputs the application identifier into a learning library, obtains a second application identifier associated with the application identifier and having a maximum use probability according to the learned user behavior, and determines the first application identifier and the second application identifier as a target application identifier together.
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 "ticket purchasing software 1" and "map application 1" as the target application identifier. Or
As shown in fig. 4, the mobile phone 100 inputs the application identifier "shooting application 1" into the learning library, obtains the second application identifier "american drawing application 1" associated with the application identifier "shooting application 1", and determines the "american drawing application 1" as the target application identifier.
In step S206, a target application program corresponding to the target application identifier is obtained, and a corresponding start probability of the target application program is determined.
As shown in fig. 3, the mobile phone 100 obtains a target application program "ticket software under the sky" corresponding to the "ticket purchasing software 1" and a target application program "map search" corresponding to the "map application 1". And the "software under ticket" 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 the target application program "american show" corresponding to "american show application 1" and the "american show" start probability 0.7.
In step S207, it is detected whether the activation probability is greater than a use threshold.
The use threshold is a critical value for determining whether the application program is likely to be started, such as 0.5, and step S208 is executed when the start probability is greater than the use threshold. When it is detected that the activation probability is not greater than the use threshold, step S209 is performed.
In step S208, the target application is thawed.
When the starting probability is detected to be larger than the use threshold, the target application program is most likely to be used, and the target application program can be unfrozen directly.
As shown in fig. 3, the "ticket sky software" has a starting probability of 0.8, which is greater than the use threshold of 0.5, so that the user is highly likely to use the "ticket sky software", and thus the "ticket sky software" can be automatically defrosted. Or as shown in FIG. 4, since the "American show" activation probability is 0.7 and is greater than the use threshold 0.5, the user is likely to use the "American show", and thus the "American show" can be automatically defrosted.
In step S209, the target application is set to a to-be-thawed state.
When the starting probability is not larger than the use threshold, the probability of using the target application is large, in order to prevent the target application from being used, the target application can be set to be in a to-be-unfrozen state, the to-be-unfrozen state is a mode of a frozen state, when the target application is in the to-be-unfrozen state, 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 unfrozen.
As shown in fig. 3, if the starting probability of the "search map" is 0.4 percent and is not greater than the use probability of "0.5", the "search map" may be set to a state to be unfrozen, 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 unfrozen.
In step S210, a timer is started, and it is detected whether the target application program in the to-be-thawed state is started in association within a preset time.
After the target application program is set to be in the state to be thawed, starting time counting, wherein the preset time can be 30 minutes, and then it needs to be detected whether the user clicks the corresponding temporary icon of the target application program in the state to be thawed within 30 minutes.
In step S211, when it is detected that the target application in the to-be-thawed state is started in association within the preset time, the target application in the to-be-thawed state is thawed, and the thawed target application is started.
When detecting that the user clicks the corresponding temporary icon of the target application program in the to-be-unfrozen state within 30 minutes, the target application program in the to-be-unfrozen state can be unfrozen directly.
In step S212, when it is detected that the target application program in the to-be-thawed state is not associated and started within the preset time, the target application program in the to-be-thawed state is restored to the frozen state.
When it is detected that the user does not click the temporary icon corresponding to the target application program in the to-be-unfrozen state within 30 minutes, it is indicated that the user does not use the target application program in the to-be-unfrozen state, the temporary icon can be deleted, and the frozen state of the target application program is recovered.
As can be seen from the above, in the management method for an application program 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 identifiers, the target application program is correspondingly thawed according to the start probability of the target application program corresponding to the target identifier, the target application program with a high start probability is thawed, and the target application program with a low start probability is set to the state to be thawed. Therefore, the frequently-used application program can be automatically frozen according to the use habit of the user, the common use state of the user is monitored, and when the text information and the application identification appear in the use interface, the target application program corresponding to the text information and the application identification is automatically unfrozen according to the user behavior learned by the learning library, so that the automation of application program management is realized, and the management efficiency of the application program is improved.
In order to better implement the management method of the application program provided in the embodiments of the present application, the embodiments of the present application further provide an apparatus based on the management method of the application program. The terms are the same as those in the above-described application management method, and details of implementation may refer to the description in the method embodiment.
An embodiment of the present invention provides a management apparatus for an application, including:
the freezing unit is used for freezing the application programs with the use frequency lower than a preset threshold value according to the use habits of users;
the analysis unit is used for analyzing the display interface and acquiring corresponding unfreezing information of the display interface;
the determining unit is used for inputting the unfreezing information into a learning library and determining a target application identifier associated with the unfreezing information;
and the unfreezing unit is used for controlling the target application program corresponding to the target application identifier to be unfrozen.
In one embodiment, the analysis unit may include: the analysis subunit is used for analyzing the display interface to acquire the text information in the display interface and the application identifier corresponding to the display interface; and the determining subunit is used for determining the character information and the application identifier as unfreezing information.
In one embodiment, the determining unit may include: the first input subunit is used for inputting the character information into a learning library and determining corresponding target character information in the character information and a first application identifier associated with the target character information; the second input subunit is used for inputting the application identifier into a learning library and determining 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 the corresponding starting probability of the target application program; when the starting probability is larger than a use threshold, unfreezing the target application program; and when the starting probability is not greater than the use threshold, setting the target application program to be in a unfreezing state.
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-unfrozen state is started in a correlated manner within preset time; the starting unit is used for unfreezing the target application program in the to-be-unfrozen state when detecting that the target application program in the to-be-unfrozen state is started in a related mode within preset time, and starting the unfrozen target application program; and the recovery unit is used for recovering the target application program in the to-be-unfrozen state to the frozen state when detecting that the target application program in the to-be-unfrozen state is not related to and started within the preset time.
Referring to fig. 5, fig. 5 is a block diagram of a management device of an application according to an embodiment of the present disclosure. Specifically, the application management device 300 includes: a freezing unit 31, an analyzing unit 32, a determining unit 33, and a thawing unit 34.
The freezing unit 31 is configured to freeze the application program with the usage frequency lower than the preset threshold according to the usage habit of the user.
The freezing unit 31 forms the use frequency of each application program according to a habit that a user uses the application programs frequently, for example, records the number of times that the user opens each application program for a period of time, the preset threshold may be set manually by the user, for example, when the user needs to freeze more application programs, the preset threshold may be adjusted downward, and when the user does not need to freeze more application programs, the preset threshold may be adjusted upward, and then the use frequency corresponding to each application program is compared with the preset threshold, and the application programs lower than the preset threshold are frozen, where the freezing is to temporarily freeze the application programs, and the application programs are still in the state, but cannot run and occupy a memory, which is equivalent to an uninstalled state, and can be used normally as long as they are actually unfrozen.
And the analysis unit 32 is configured to analyze the display interface and obtain thawing information corresponding to the display interface.
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 short message information of an electronic device, a display interface of an audio application program, and the like, 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 the application program, and may be text information and/or an application identifier, and the like. Therefore, the character information or the application identification correspondingly displayed on the current display interface can be used as the unfreezing information so as to be used as the basis for unfreezing the application program in the following process, so that the manual operation of adding, deleting and modifying the application program in the frozen white list is 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; and determining the character information as unfreezing information.
In some embodiments, the analyzing 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 character information in the image information; extracting text information in a display interface to obtain corresponding character information in the text information; and determining the character information as unfreezing information.
And the determining unit 33 is used for inputting the unfreezing information into the learning library and determining the target application identification associated with the unfreezing information.
The learning library may automatically record and learn application usage habits of the user, for example, may be a learning model composed of an algorithm, and specifically may be a learning library composed of a Convolutional Neural Network (CNN) model having a self-learning function, where the learning library may record a habit that the user uses an application program at ordinary times, and if the user uses a certain application program at present, the learning library is switched to another application program within a preset time, a sample may be generated for learning, and if the user uses a ticket-buying application program, the user switches to payment software within a preset time when the ticket-buying application program exits from a background, and then the application identifiers corresponding to the two application programs may be recorded as a sample. The learning library can also comprise a relevant model corresponding to the keywords, such as a keyword of 'ticket buying' is relevant to certain ticket buying software, a 'meal' is relevant to certain food eating software, and the like.
Further, when the thawing information is text information, the determining unit 33 inputs the entire text information into the learning library, and the learning library performs a screening operation on the entire text information, screens and determines keyword information in the entire text information, and determines the associated target application identifier according to the keyword. When the thawing information is the application identifier, since there is associated information between the application identifiers after the intelligent learning in the learning library, the determining unit 33 will obtain the associated target application identifier corresponding to the input application identifier after inputting the application identifier into the learning library.
And the unfreezing unit 34 is used for controlling the target application program corresponding to the target application identifier to be unfrozen.
The target application program input by the learning library according to the unfreezing information is an application program which is likely to be used by the user at the next time, and if the target application program corresponding to the target application program is in a frozen state, the user can only remove the target application program from the frozen white list manually, and then the target application program can be continuously used, so that the use efficiency of the user is greatly influenced, and the operation complexity of the user is increased.
Therefore, the unfreezing unit 34 can control the target application program corresponding to the target application identifier to be unfrozen automatically, and the target application program can be continuously used after being used by a user, so that the efficiency of user operation is saved, and seamless intelligent unfreezing is realized.
In some embodiments, the unfreezing unit 34 is specifically configured to obtain a target application program corresponding to a target application identifier, and determine a corresponding start probability of the target application program; when the starting probability is larger than a use threshold, unfreezing the target application program; and when the starting probability is not greater than the use threshold, setting the target application program to be in a unfreezing state.
The detecting unit 35 is configured to start timing, and detect whether the target application in the to-be-thawed state is started in a correlated manner within a preset time.
And the starting unit 36 is configured to, when it is detected that the target application in the to-be-thawed state is started in association within a preset time, thaw the target application in the to-be-thawed state, and start the thawed target application.
And a restoring unit 37, configured to restore the target application program in the to-be-thawed state to the frozen state when it is detected that the target application program in the to-be-thawed state is not associated and started within a preset time.
Referring to fig. 6 together, fig. 6 is another schematic block diagram of an application management apparatus according to an embodiment of the present disclosure, where the application management apparatus 300 may further include:
the analyzing unit 32 may include an analyzing subunit 321 and a determining subunit 322.
Further, the analyzing subunit 321 is configured to analyze the display interface, and acquire text information in the display interface and an application identifier corresponding to the display interface. The determining subunit 322 is configured to determine the text information and the application identifier as unfreezing information.
The determining unit 33 may include a first input subunit 331, a second input subunit 332, and a determining subunit 333.
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 the target application identifier.
The embodiment of the application also provides the 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 whole electronic device using various interfaces and lines, performs various functions of the electronic device 500 by running or loading a computer program stored in the memory 502, and calls data stored in the memory 502, and processes the data, 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 executes various functional applications and data processing by running the computer programs and modules stored in the memory 502. The memory 502 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, a computer program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data created according to use of the electronic device, and the like. Further, the 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 the processor 501 with access to the memory 502.
In this embodiment, the processor 501 in the electronic device 500 loads instructions corresponding to one or more processes of the computer program into the memory 502, and the processor 501 runs the computer program stored in the memory 502, so as to implement various functions as follows:
freezing the application programs with the use frequency lower than a preset threshold value according to the use habits of users;
analyzing the display interface to obtain corresponding unfreezing information of the display interface;
inputting the unfreezing information into a learning library, and determining a target application identifier associated with the unfreezing information;
and controlling the target application program corresponding to the target application identifier to unfreeze.
In some embodiments, when analyzing the display interface and obtaining the thawing information corresponding to the display interface, the processor 501 may specifically perform the following steps:
analyzing the display interface to obtain the character information in the display interface;
and determining the character information as unfreezing information.
In some embodiments, when analyzing the display interface and acquiring the 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 character information in the voice information;
analyzing the image information in the display interface, and identifying corresponding character information in the image information;
and extracting the text information in the display interface to obtain corresponding character 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 perform the following steps:
analyzing the display interface to obtain the text information in the display interface and the application identification corresponding to the display interface;
and determining the character information and the application identification as unfreezing information.
In some embodiments, when inputting the thawing information into the learning library and determining the target application identifier associated with the thawing information, the processor 501 may specifically perform the following steps:
inputting the character information into a learning library, and determining corresponding target character information in the character information and a first application identifier associated with the target character 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 unfreeze, the processor 501 may specifically perform the following steps:
acquiring a target application program corresponding to a target application identifier, and determining the corresponding starting probability of the target application program;
when the starting probability is larger than a use threshold, unfreezing the target application program;
and when the starting probability is not greater than the use threshold, setting the target application program to be in a unfreezing state.
In some embodiments, after controlling the target application program corresponding to the target application identifier to unfreeze, the processor 501 may further specifically perform the following steps:
starting timing, and detecting whether a target application program in a to-be-unfrozen state is started in a related manner within a preset time;
when detecting that the target application program in the state to be unfrozen is started in a related mode within preset time, unfreezing the target application program in the state to be unfrozen, and starting the unfrozen target application program;
and when detecting that the target application program in the to-be-unfrozen state is not related to be started within the preset time, restoring the target application program in the to-be-unfrozen state to the 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. The display 503, the rf circuit 504, the audio circuit 505, and the power source 506 are electrically connected to the processor 501.
The display 503 may be used to display information entered by or provided to the user as well as various graphical user interfaces, which may be made up of graphics, text, icons, video, and any combination thereof. The Display 503 may include a Display panel, and in some embodiments, the Display panel may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.
The rf circuit 504 may be used for transceiving rf signals to establish wireless communication with a network device or other electronic devices via wireless communication, and for transceiving signals with the network device or other electronic devices.
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 source 506 may be used to power various components of the electronic device 500. In some embodiments, power supply 506 may be logically coupled to processor 501 through a power management system, such that functions of managing charging, discharging, and power consumption are performed through the power management system.
Although not shown in fig. 8, the electronic device 500 may further include a camera, a bluetooth module, and the like, which are not described in detail herein.
An embodiment of the present application further provides a storage medium, where the storage medium stores a computer program, and when the computer program runs on a computer, the computer is caused to execute a management method of an application program in any one of the above embodiments, such as: freezing the application programs with the use frequency lower than a preset threshold value according to the use habits of users; analyzing the display interface to obtain corresponding unfreezing information of the display interface; inputting the unfreezing information into a learning library, and determining a target application identifier associated with the unfreezing information; and controlling the target application program corresponding to the target application identifier to unfreeze.
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 (RAM), or the like.
It should be noted that, for the management method of the application program in the embodiment of the present application, it can be understood by a person skilled in the art that all or part of the process of implementing the management method of the application program in the embodiment of the present application can be completed by controlling the relevant hardware through a computer program, where the computer program can 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 process of the embodiment of the management method of the application program can be included in the execution process. The storage medium may be a magnetic disk, an optical disk, a read-only memory, a random access memory, etc.
In the management apparatus for an application program according to the embodiment of the present application, each functional module may be integrated into one processing chip, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented as a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium such as a read-only memory, a magnetic or optical disk, or the like.
The foregoing detailed description is directed to a method, an apparatus, a storage medium, and an electronic device for managing an application program provided in an embodiment of the present application, and a specific example is applied in the detailed description to explain the principles and implementations of the present application, and the description of the foregoing embodiment is only used to help understand the method and the core idea of the present application; meanwhile, for those skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (20)
- A management method of an application program comprises the following steps:freezing the application programs with the use frequency lower than a preset threshold value according to the use habits of users;analyzing the display interface to obtain corresponding unfreezing information of the display interface;inputting the unfreezing information into a learning library, and determining a target application identifier associated with the unfreezing information;and controlling the target application program corresponding to the target application identifier to be unfrozen.
- The application management method according to claim 1, wherein the step of analyzing the display interface and obtaining the thawing information corresponding to the display interface comprises:analyzing the display interface to obtain the character information in the display interface;and determining the character information as unfreezing information.
- The method for managing an application program according to claim 2, wherein the step of analyzing the display interface and acquiring the text information in the display interface includes:analyzing the voice information in the display interface, and identifying corresponding character information in the voice information;analyzing the image information in the display interface, and identifying corresponding character information in the image information;and extracting the text information in the display interface to obtain corresponding character information in the text information.
- The application management method according to claim 1, wherein the step of analyzing the display interface and obtaining the thawing information corresponding to the display interface comprises:analyzing the display interface to obtain the text information in the display interface and the application identification corresponding to the display interface;and determining the character information and the application identification as unfreezing information.
- The method for managing application programs according to claim 4, wherein said step of inputting said thawing information into a learning library and determining a target application identifier associated with said thawing information comprises:inputting the character information into a learning library, and determining corresponding target character information in the character information and a first application identifier associated with the target character 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.
- The application program management method according to claim 1, wherein the step of controlling the target application program corresponding to the target application identifier to unfreeze comprises:acquiring a target application program corresponding to a target application identifier, and determining the corresponding starting probability of the target application program;when the starting probability is larger than a use threshold value, unfreezing the target application program;and when the starting probability is not greater than a use threshold value, setting the target application program to be in a to-be-unfrozen state.
- The application management method according to claim 6, wherein after the step of controlling the target application corresponding to the target application identifier to unfreeze, the method further comprises:starting timing, and detecting whether a target application program in a to-be-unfrozen state is started in a related manner within a preset time;when detecting that the target application program in the state to be unfrozen is started in a related mode within preset time, unfreezing the target application program in the state to be unfrozen, and starting the unfrozen target application program;and when detecting that the target application program in the to-be-unfrozen state is not related to be started within the preset time, restoring the target application program in the to-be-unfrozen state to the frozen state.
- An apparatus for managing an application, comprising:the freezing unit is used for freezing the application programs with the use frequency lower than a preset threshold value according to the use habits of users;the analysis unit is used for analyzing the display interface and acquiring corresponding unfreezing information of the display interface;the determining unit is used for inputting the unfreezing information into a learning library and determining a target application identifier associated with the unfreezing information;and the unfreezing unit is used for controlling the target application program corresponding to the target application identifier to be unfrozen.
- The management apparatus of an application program according to claim 8, wherein said analysis unit includes:the analysis subunit is used for analyzing the display interface to acquire the text information in the display interface and the application identifier corresponding to the display interface;and the determining subunit is used for determining the character information and the application identifier as unfreezing information.
- The application management apparatus according to claim 9, wherein the determining unit includes:the first input subunit is used for inputting the character information into a learning library and determining corresponding target character information in the character information and a first application identifier associated with the target character information;the second input subunit is used for inputting the application identifier into a learning library and determining 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.
- The application management apparatus according to claim 8, wherein the thawing unit is specifically configured to:acquiring a target application program corresponding to a target application identifier, and determining the corresponding starting probability of the target application program;when the starting probability is larger than a use threshold value, unfreezing the target application program;and when the starting probability is not greater than a use threshold value, setting the target application program to be in a to-be-unfrozen state.
- The apparatus for managing an application program according to claim 11, wherein said apparatus further comprises:the detection unit is used for starting timing and detecting whether a target application program in a to-be-unfrozen state is started in a correlated manner within preset time;the starting unit is used for unfreezing the target application program in the to-be-unfrozen state when detecting that the target application program in the to-be-unfrozen state is started in a related mode within preset time, and starting the unfrozen target application program;and the recovery unit is used for recovering the target application program in the to-be-unfrozen state to the frozen state when detecting that the target application program in the to-be-unfrozen state is not related to and started within the preset time.
- A storage medium having stored thereon a computer program, wherein the computer program, when run on a computer, causes the computer to execute a method of managing an application program according to claim 1.
- An electronic device comprising a processor and a memory, said memory having a computer program, wherein said processor is adapted to perform the steps of, by invoking said computer program:freezing the application programs with the use frequency lower than a preset threshold value according to the use habits of users;analyzing the display interface to obtain corresponding unfreezing information of the display interface;inputting the unfreezing information into a learning library, and determining a target application identifier associated with the unfreezing information;and controlling the target application program corresponding to the target application identifier to be unfrozen.
- The electronic device of claim 14, wherein the processor, by invoking the computer program, is configured to perform the steps of:analyzing the display interface to obtain the character information in the display interface;and determining the character information as unfreezing information.
- The electronic device of claim 15, wherein the processor, by invoking the computer program, is configured to perform the steps of:analyzing the voice information in the display interface, and identifying corresponding character information in the voice information;analyzing the image information in the display interface, and identifying corresponding character information in the image information;and extracting the text information in the display interface to obtain corresponding character information in the text information.
- The electronic device of claim 14, wherein the processor, by invoking the computer program, is configured to perform the steps of:analyzing the display interface to obtain the text information in the display interface and the application identification corresponding to the display interface;and determining the character information and the application identification as unfreezing information.
- The electronic device of claim 17, wherein the processor, by invoking the computer program, is configured to perform the steps of:inputting the character information into a learning library, and determining corresponding target character information in the character information and a first application identifier associated with the target character 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.
- The electronic device of claim 14, wherein the processor, by invoking the computer program, is configured to perform the steps of:acquiring a target application program corresponding to a target application identifier, and determining the corresponding starting probability of the target application program;when the starting probability is larger than a use threshold value, unfreezing the target application program;and when the starting probability is not greater than a use threshold value, setting the target application program to be in a to-be-unfrozen state.
- The electronic device of claim 19, wherein the processor, by invoking the computer program, is further configured to perform the step of:starting timing, and detecting whether a target application program in a to-be-unfrozen state is started in a related manner within a preset time;when detecting that the target application program in the state to be unfrozen is started in a related mode within preset time, unfreezing the target application program in the state to be unfrozen, and starting the unfrozen target application program;and when detecting that the target application program in the to-be-unfrozen state is not related to be started within the preset time, restoring the target application program in the to-be-unfrozen state to the frozen state.
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| PCT/CN2018/125633 WO2020133414A1 (en) | 2018-12-29 | 2018-12-29 | Application management method and apparatus, storage medium, and electronic device |
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