CN111831348A - Method and device for automatically configuring application and terminal equipment - Google Patents
Method and device for automatically configuring application and terminal equipment Download PDFInfo
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Abstract
The invention is applicable to the technical field of electronic terminals, and provides a method, a device and a terminal device for automatically configuring an application, wherein the method comprises the following steps: when a starting command is received, acquiring a time period of starting time when the starting command is received, and determining at least one application corresponding to the time period of the starting time according to the time period of the starting time and a preset behavior model of a user; the behavior model of the user comprises time periods of using different applications in the terminal equipment by the user, at least one application corresponding to each time period displays at least one application corresponding to the time period of the starting time. According to the method and the device, the use scenes corresponding to the time period of the user starting time are determined according to the behavior model of the user, the core function corresponding to each use scene is identified and displayed, the operation is simple and rapid, the application searching time of the user is shortened, the searching efficiency is improved, and the user experience is improved.
Description
Technical Field
The invention belongs to the technical field of electronic terminals, and particularly relates to a method and a device for automatically configuring an application and terminal equipment.
Background
Recently, as the demand for learning increases, the functions and applications of learning machines are increasing.
However, the scenes and applications of the learning machine are relatively fixed at present, so that when a user uses the learning machine, the user needs to perform a complicated operation flow for searching for different applications in different scenes, the efficiency is low, a large amount of time is consumed, and even the user cannot search for the needed applications.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method, an apparatus, and a terminal device for automatically configuring an application, so as to solve the problem that, in the prior art, when a user uses a learning machine, the user needs to perform a complicated operation procedure for searching for different applications in different scenes, the efficiency is low, a large amount of time is consumed, and even the user cannot search for a required application.
A first aspect of an embodiment of the present invention provides a method for automatically configuring an application, which is applied to a terminal device, and includes:
when a starting command is received, acquiring a time period of starting time when the starting command is received;
determining at least one application corresponding to the starting time within the time period according to the time period of the starting time and a preset behavior model of a user; the behavior model of the user comprises time periods of using different applications in the terminal equipment by the user, and each time period corresponds to at least one application;
displaying at least one application corresponding to a time period in which the start time is located.
Optionally, determining, according to the time period of the starting time and a preset behavior model of the user, before the application corresponding to the time period of the starting time is determined, the method includes:
acquiring behavior data of a user; the behavior data comprises time periods of using different applications in the terminal equipment by the user, and each time period corresponds to at least one application;
and establishing a behavior model of the user according to the behavior data.
Optionally, establishing a behavior model of the user according to the behavior data includes:
marking a use scene corresponding to each time period;
determining a core application corresponding to each use scene according to at least one application corresponding to each time period;
establishing an incidence relation between each use scene and the corresponding core application;
and establishing a behavior model of the user according to the incidence relation.
Optionally, the determining, according to at least one application corresponding to each of the time periods, a core application corresponding to each of the usage scenarios includes:
acquiring the use frequency of each application in the at least one application corresponding to each time period used by a user according to the at least one application corresponding to each time period;
sequencing the use frequency of at least one application corresponding to each time period by a preset sequencing method to obtain an application sequence corresponding to each time period;
and taking the application meeting the preset condition in the application sequence corresponding to each time period as the core application corresponding to the use scene corresponding to each time period.
Optionally, the different applications in the terminal device include a learning application.
Optionally, the terminal device is a learning machine.
A second aspect of an embodiment of the present invention provides an apparatus for automatically configuring an application, including:
the device comprises a receiving module, a starting module and a judging module, wherein the receiving module is used for acquiring a time period of starting time when a starting command is received;
the determining module is used for determining at least one application corresponding to the starting time in the time period according to the time period of the starting time and a preset behavior model of a user; the behavior model of the user comprises time periods of using different applications in the terminal equipment by the user, and each time period corresponds to at least one application;
and the display module is used for displaying at least one application corresponding to the time period of the starting time.
Optionally, the apparatus further includes:
the acquisition module is used for acquiring behavior data of a user; the behavior data comprises time periods of using different applications in the terminal equipment by the user, and each time period corresponds to at least one application;
and the establishing module is used for establishing a behavior model of the user according to the behavior data.
Optionally, the establishing module includes:
the marking unit is used for marking the use scene corresponding to each time period;
a determining unit, configured to determine, according to at least one application corresponding to each of the time periods, a core application corresponding to each of the usage scenarios;
the first establishing unit is used for establishing an incidence relation between each use scene and the corresponding core application;
and the second establishing unit is used for establishing the behavior model of the user according to the incidence relation.
Optionally, the determining unit includes:
the obtaining subunit is configured to obtain, according to at least one application corresponding to each of the time periods, a use frequency of each application in the at least one application corresponding to each of the time periods used by a user;
the sequencing subunit is configured to sequence the use frequency of the at least one application corresponding to each time period by using a preset sequencing method to obtain an application sequence corresponding to each time period;
and the selecting subunit is used for taking the application meeting the preset condition in the application sequence corresponding to each time period as the core application corresponding to the use scene corresponding to each time period.
Optionally, the different applications in the terminal device include a learning application.
Optionally, the terminal device is a learning machine.
A third aspect of an embodiment of the present invention provides a terminal device, including: a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method as described above when executing the computer program.
A fourth aspect of embodiments of the present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method as described above.
According to the embodiment of the invention, the time period of the user starting time is obtained, the use scenes corresponding to the time period of the user starting time are determined according to the behavior model of the user, the core function corresponding to each use scene is identified and displayed, the operation is simple and rapid, the application searching time of the user is shortened, the searching efficiency is improved, and the user experience is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a flow chart illustrating a method for automatically configuring an application according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a method for automatically configuring an application according to a second embodiment of the present invention;
FIG. 3 is a flowchart illustrating a method for automatically configuring an application according to a third embodiment of the present invention;
FIG. 4 is a schematic structural diagram of an apparatus for automatically configuring an application according to a fourth embodiment of the present invention;
fig. 5 is a schematic structural diagram of an apparatus for automatically configuring an application according to a fifth embodiment of the present invention;
fig. 6 is a schematic structural diagram of an apparatus for automatically configuring an application according to a sixth embodiment of the present invention;
fig. 7 is a schematic diagram of a terminal device according to a seventh embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood by those skilled in the art, the technical solutions in the embodiments of the present invention will be clearly described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "comprises" and "comprising," and any variations thereof, in the description and claims of this invention and the above-described drawings are intended to cover non-exclusive inclusions. For example, a process, method, or system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus. Furthermore, the terms "first," "second," and "third," etc. are used to distinguish between different objects and are not used to describe a particular order.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
Example one
As shown in fig. 1, the present embodiment provides a method for automatically configuring an application, which may be applied to a terminal device such as a mobile phone, a PC, a tablet computer, a learning machine, and the like. The method for automatically configuring the application provided by the embodiment comprises the following steps:
s101, when a starting command is received, acquiring a time period of starting time when the starting command is received.
In specific application, when a starting command is received, the starting time when the starting command is received is obtained, so as to determine the time period of the starting time; the time period of the starting time refers to the time period of the starting time in the current date, for example, if the current date is 2019, 4, 23 and the starting time when the starting command is received is 18:25, the time period of the starting time is determined to be 18: 00-19: 00.
s102, determining at least one application corresponding to the starting time in the time period according to the time period of the starting time and a preset behavior model of a user; the behavior model of the user comprises time periods of using different applications in the terminal equipment by the user, and each time period corresponds to at least one application.
In specific application, determining at least one core application corresponding to the starting time within a time period according to the time period of the starting time and a pre-established preset behavior model of a user; the preset behavior model of the user includes but is not limited to time periods when the user uses different applications in the current terminal device, and each time period corresponds to at least one application.
S103, displaying at least one application corresponding to the time period of the starting time.
In a specific application, at least one application corresponding to the time period in which the starting time is located is displayed.
In one embodiment, the different applications in the terminal device comprise learning applications.
In a specific application, the different applications in the terminal device include, but are not limited to, learning applications.
In one embodiment, the terminal device is a learning machine.
In a specific application, the terminal device is set as a learning machine.
According to the method and the device, the time period of the user starting time is obtained, the use scenes corresponding to the time period of the user starting time are determined according to the behavior model of the user, the core function corresponding to each use scene is identified and displayed, the operation is simple and rapid, the time for the user to search for the application is shortened, the efficiency is improved, and the user experience is improved.
Example two
As shown in fig. 2, this embodiment is a further description of the method steps in the first embodiment. In this embodiment, before step S102, the method further includes:
s201, acquiring behavior data of a user; the behavior data comprises time periods of using different applications in the terminal equipment by the user, and each time period corresponds to at least one application.
In specific application, behavior data of a user in a preset time period is acquired; the behavior data of the user comprises but is not limited to time periods when the user uses different applications in the terminal equipment, and each time period corresponds to at least one application; applications include, but are not limited to, learning applications; the preset time period may be specifically set according to actual conditions, for example, if the preset time period is set to 60 days, behavior data of the user within sixty days is acquired.
S202, establishing a behavior model of the user according to the behavior data.
In specific application, a behavior model of a user is established according to behavior data of the user in a preset time period, so that behavior prediction of the user is realized according to real-time behavior data of the user.
According to the method and the device, the behavior data of the user are collected, the behavior model of the user is built, the use scene of the user and the corresponding at least one core application are preset according to the behavior model of the user, the time for the user to search the application is shortened, and the efficiency is improved.
EXAMPLE III
As shown in fig. 3, this embodiment is a further description of the method steps in the second embodiment. In this embodiment, step S202 includes:
s2021, marking a use scene corresponding to each time period;
in specific application, marking a use scene corresponding to each time period; for example, annotation period 19: the use scene corresponding to 00-20:00 is 'learning news simulcast'.
S2022, determining a core application corresponding to each usage scenario according to at least one application corresponding to each time period;
in specific application, determining a core application corresponding to each use scene according to at least one application corresponding to each time period; for example, if time period 19 is noted: the use scene corresponding to 00-20:00 is learning news simulcast, and the corresponding application comprises the following steps: and playing the news simulcast, and analyzing and answering the question and answer test paper and/or the test paper of the news simulcast, and determining the core application corresponding to the use scene of the 'learning news simulcast' as the playing news simulcast.
S2023, establishing an incidence relation between each use scene and the corresponding core application;
in specific application, an incidence relation between each use scene and the corresponding core application is established so as to determine the corresponding core application according to the use scene.
S2024, establishing a behavior model of the user according to the association relation.
In specific application, a behavior model of a user is established according to the incidence relation between each use scene and the corresponding core application.
In one embodiment, step S2022, comprises:
acquiring the use frequency of each application in the at least one application corresponding to each time period used by a user according to the at least one application corresponding to each time period;
sequencing the use frequency of at least one application corresponding to each time period by a preset sequencing method to obtain an application sequence corresponding to each time period;
and taking the application meeting the preset condition in the application sequence corresponding to each time period as the core application corresponding to the use scene corresponding to each time period.
In specific application, according to at least one application corresponding to each time period, obtaining the use frequency of each application in the at least one application corresponding to each time period used by a user, sequencing the use frequency of the at least one application corresponding to each time period through a preset sequencing method to obtain an application sequence corresponding to each time period, and then taking the application meeting preset conditions in the application sequence corresponding to each time period as the core application corresponding to the use scene corresponding to each time period. The preset ordering method includes, but is not limited to, a big-to-small ordering method or a small-to-big ordering method; the preset conditions can be specifically set according to actual conditions; for example, if the preset sorting method is a big-to-small sorting method, and the preset condition is the application with the largest use frequency, the application corresponding to the first use frequency in the bit sequence in the application sequence corresponding to the time period in which the start time is located is obtained as the core application corresponding to the use scene corresponding to the time period in which the start time is located.
According to the method and the device, the use scenes corresponding to each time period and the core functions corresponding to each use scene are determined by collecting the behavior data of the user, the incidence relation between the use scenes and the core functions is established, and then the behavior model of the user is established, so that the corresponding core applications are determined according to the use scenes, the time for the user to search the applications is shortened, and the efficiency is improved.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Example four
As shown in fig. 4, the present embodiment provides an apparatus 100 for automatically configuring an application, which is used to execute the method steps in the first embodiment. The apparatus 100 for automatically configuring an application provided in this embodiment includes:
the receiving module 101 is configured to, when a start command is received, obtain a time period of start time when the start command is received;
a determining module 102, configured to determine, according to a time period in which the start time is located and a preset behavior model of a user, at least one application corresponding to the time period in which the start time is located; the behavior model of the user comprises time periods of using different applications in the terminal equipment by the user, and each time period corresponds to at least one application;
a display module 103, configured to display at least one application corresponding to a time period in which the start time is located.
In one embodiment, the different applications in the terminal device comprise learning applications.
In one embodiment, the terminal device is a learning machine.
According to the method and the device, the time period of the user starting time is obtained, the use scenes corresponding to the time period of the user starting time are determined according to the behavior model of the user, the core function corresponding to each use scene is identified and displayed, the operation is simple and rapid, the time for the user to search for the application is shortened, the searching efficiency is improved, and the user experience is improved.
EXAMPLE five
As shown in fig. 5, in the present embodiment, the apparatus 100 for automatically configuring an application in the fourth embodiment further includes the following structure for executing the method steps in the second embodiment:
an obtaining module 201, configured to obtain behavior data of a user; the behavior data comprises time periods of using different applications in the terminal equipment by the user, and each time period corresponds to at least one application;
an establishing module 202, configured to establish a behavior model of the user according to the behavior data.
According to the method and the device, the behavior data of the user are collected, the behavior model of the user is built, the use scene of the user and the corresponding at least one core application are preset according to the behavior model of the user, the time for the user to search the application is shortened, and the efficiency is improved.
EXAMPLE six
As shown in fig. 6, in this embodiment, the establishing module 202 in the fifth embodiment further includes the following structure for executing the method steps in the third embodiment:
an annotation unit 2021, configured to annotate the usage scenario corresponding to each of the time periods;
a determining unit 2022, configured to determine, according to at least one application corresponding to each of the time periods, a core application corresponding to each of the usage scenarios;
a first establishing unit 2023, configured to establish an association relationship between each usage scenario and a corresponding core application;
a second establishing unit 2024, configured to establish a behavior model of the user according to the association relationship.
In one embodiment, the determining unit 2022 includes:
the obtaining subunit is configured to obtain, according to at least one application corresponding to each of the time periods, a use frequency of each application in the at least one application corresponding to each of the time periods used by a user;
the sequencing subunit is configured to sequence the use frequency of the at least one application corresponding to each time period by using a preset sequencing method to obtain an application sequence corresponding to each time period;
and the selecting subunit is used for taking the application meeting the preset condition in the application sequence corresponding to each time period as the core application corresponding to the use scene corresponding to each time period.
According to the method and the device, the use scenes corresponding to each time period and the core functions corresponding to each use scene are determined by collecting the behavior data of the user, the incidence relation between the use scenes and the core functions is established, and then the behavior model of the user is established, so that the corresponding core applications are determined according to the use scenes, the time for the user to search the applications is shortened, and the efficiency is improved.
EXAMPLE seven
Fig. 7 is a schematic diagram of the terminal device provided in this embodiment. As shown in fig. 7, the terminal device 7 of this embodiment includes: a processor 70, a memory 71 and a computer program 72, such as a program for an auto-configuration application, stored in said memory 71 and executable on said processor 70. The processor 70, when executing the computer program 72, implements the steps in the various method embodiments of automatically configuring an application described above, such as steps S101 to S103 shown in fig. 1. Alternatively, the processor 70, when executing the computer program 72, implements the functions of each module/unit in each device embodiment described above, for example, the functions of the modules 101 to 103 shown in fig. 4.
Illustratively, the computer program 72 may be partitioned into one or more modules/units that are stored in the memory 71 and executed by the processor 70 to implement the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution process of the computer program 72 in the terminal device 7. For example, the computer program 72 may be divided into a receiving module, a determining module and a displaying module, each module having the following specific functions:
the device comprises a receiving module, a starting module and a judging module, wherein the receiving module is used for acquiring a time period of starting time when a starting command is received;
the determining module is used for determining at least one application corresponding to the starting time in the time period according to the time period of the starting time and a preset behavior model of a user; the behavior model of the user comprises time periods of using different applications in the terminal equipment by the user, and each time period corresponds to at least one application;
and the display module is used for displaying at least one application corresponding to the time period of the starting time.
The terminal device 7 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The terminal device may include, but is not limited to, a processor 70, a memory 71. It will be appreciated by those skilled in the art that fig. 7 is merely an example of a terminal device 7 and does not constitute a limitation of the terminal device 7 and may comprise more or less components than shown, or some components may be combined, or different components, for example the terminal device may further comprise input output devices, network access devices, buses, etc.
The Processor 70 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 71 may be an internal storage unit of the terminal device 7, such as a hard disk or a memory of the terminal device 7. The memory 71 may also be an external storage device of the terminal device 7, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital Card (SD), a Flash memory Card (Flash Card), and the like, which are provided on the terminal device 7. Further, the memory 71 may also include both an internal storage unit and an external storage device of the terminal device 7. The memory 71 is used for storing the computer program and other programs and data required by the terminal device. The memory 71 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A method for automatically configuring an application, which is applied to a terminal device, the method comprising:
when a starting command is received, acquiring a time period of starting time when the starting command is received;
determining at least one application corresponding to the starting time within the time period according to the time period of the starting time and a preset behavior model of a user; the behavior model of the user comprises time periods of using different applications in the terminal equipment by the user, and each time period corresponds to at least one application;
displaying at least one application corresponding to a time period in which the start time is located.
2. The method for automatically configuring an application according to claim 1, wherein determining, according to a time period in which the start time is located and a preset behavior model of a user, before an application corresponding to the time period in which the start time is located, comprises:
acquiring behavior data of a user; the behavior data comprises time periods of using different applications in the terminal equipment by the user, and each time period corresponds to at least one application;
and establishing a behavior model of the user according to the behavior data.
3. The method for automatically configuring an application of claim 2, wherein building a behavioral model of the user from the behavioral data comprises:
marking a use scene corresponding to each time period;
determining a core application corresponding to each use scene according to at least one application corresponding to each time period;
establishing an incidence relation between each use scene and the corresponding core application;
and establishing a behavior model of the user according to the incidence relation.
4. The method of automatically configuring an application according to claim 3, wherein said determining a core application corresponding to each of the usage scenarios based on at least one application corresponding to each of the time periods comprises:
acquiring the use frequency of each application in the at least one application corresponding to each time period used by a user according to the at least one application corresponding to each time period;
sequencing the use frequency of at least one application corresponding to each time period by a preset sequencing method to obtain an application sequence corresponding to each time period;
and taking the application meeting the preset condition in the application sequence corresponding to each time period as the core application corresponding to the use scene corresponding to each time period.
5. A method for automatically configuring applications according to any of claims 1 to 4, wherein the different applications in the terminal device comprise learning applications.
6. The method for automatically configuring an application according to any one of claims 1 to 4, wherein the terminal device is a learning machine.
7. An apparatus for automatically configuring an application, comprising:
the device comprises a receiving module, a starting module and a judging module, wherein the receiving module is used for acquiring a time period of starting time when a starting command is received;
the determining module is used for determining at least one application corresponding to the starting time in the time period according to the time period of the starting time and a preset behavior model of a user; the behavior model of the user comprises time periods of using different applications in the terminal equipment by the user, and each time period corresponds to at least one application;
and the display module is used for displaying at least one application corresponding to the time period of the starting time.
8. The apparatus for automatically configuring an application of claim 7, further comprising:
the acquisition module is used for acquiring behavior data of a user; the behavior data comprises time periods of using different applications in the terminal equipment by the user, and each time period corresponds to at least one application;
and the establishing module is used for establishing a behavior model of the user according to the behavior data.
9. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 6 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
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