CN114691278A

CN114691278A - Application program processing method, intelligent terminal and storage medium

Info

Publication number: CN114691278A
Application number: CN202210613539.9A
Authority: CN
Inventors: 李如森; 柳强; 赵帛羽; 刘丽; 黑啸吉; 陈蓉
Original assignee: Shenzhen Transsion Holdings Co Ltd
Current assignee: Shenzhen Transsion Holdings Co Ltd
Priority date: 2022-06-01
Filing date: 2022-06-01
Publication date: 2022-07-01

Abstract

The application provides an application program processing method, an intelligent terminal and a storage medium. The method comprises the following steps: preprocessing the first characteristic information and the second characteristic information, and determining or generating at least one target application program; determining or generating a set of applications from at least one target application; and outputting the application program set. According to the technical scheme, the target application program meeting the conditions can be automatically selected, so that the application program set is created to be recommended to the user for use, the searching efficiency of the application program is greatly improved, and the user experience is improved.

Description

Application program processing method, intelligent terminal and storage medium

Technical Field

The application relates to the technical field of intelligent terminals, in particular to an application program processing method, an intelligent terminal and a storage medium.

Background

With the development of terminal technology, the intelligent terminal has begun to be changed into a platform for running general software from the past simply providing a communication device. At present, intelligent terminals on the market have stronger and stronger performance, and Application programs (APP) are more and more abundant. In practical applications, a user may install application programs with various functions in the intelligent terminal according to requirements, for example, the user may install various types of video and audio application programs, navigation application programs, shopping application programs, and the like in the intelligent terminal.

In some implementations, when a user wants to use an application, the user can open the application in two ways, one way is that the user searches for an icon corresponding to the application from a plurality of application display pages, and after finding the icon, the user can open the application by triggering the icon. In another mode, the user searches the name of the application program through a search function in the desktop of the mobile phone, and opens the application program by clicking an icon of the application program in a search result.

In the course of conceiving and implementing the present application, the inventors found that at least the following problems existed: when the number of the application programs installed in the intelligent terminal is too large, the user is not easy to find the required application program, so that the time is consumed, the operation steps are complicated, and the operation is not convenient.

The foregoing description is provided for general background information and does not necessarily constitute prior art.

Disclosure of Invention

In view of the above technical problems, the application processing method, the intelligent terminal and the storage medium provided by the application processing method can automatically select a target application meeting conditions, so as to create an application set to recommend the target application to a user, thereby greatly improving the search efficiency of the application and improving the user experience.

The application provides an application processing method, optionally applied to an intelligent terminal, comprising the following steps:

s11: preprocessing the first characteristic information and the second characteristic information, and determining or generating at least one target application program;

s12: determining or generating an application set according to the at least one target application;

s13: and outputting the application program set.

Optionally, the S11 includes:

determining or generating target parameters respectively corresponding to all the application programs according to the first characteristic information and the second characteristic information;

and identifying or determining the application program with the target parameter meeting the preset value as a target application program.

Optionally, the determining or generating target parameters respectively corresponding to all the application programs according to the first characteristic information and the second characteristic information includes:

extracting first sub-feature information and second sub-feature information corresponding to each application program from the first feature information and the second feature information;

and inputting the first sub-feature information and the second sub-feature information into a preset model so as to output target parameters of each application program.

Optionally, the S11 includes:

respectively calculating the correlation information of the first characteristic information and the second characteristic information of each application program;

determining or generating at least one target application program according to the correlation information;

the first feature information includes: the method comprises the steps that current setting information of the intelligent terminal, current environment information of the intelligent terminal and current screen display information of the intelligent terminal are obtained;

the second feature information includes: historical setting information and historical environment information of each application program in the intelligent terminal when the application program runs in a preset time period.

Optionally, the S12 includes:

dividing the at least one target application program into at least one category according to the target parameters;

and determining or generating at least one corresponding application program set according to the at least one category.

Optionally, before the S12, the method further includes:

acquiring an application program currently operated by the intelligent terminal;

and determining that the at least one target application program is not the currently running application program, and executing the step of determining or generating an application program set according to the at least one target application program.

Optionally, the method further comprises:

and adjusting a display interface corresponding to the application program set or a target display area in the display interface according to the target application program.

Optionally, the adjusting, according to the target application program, the display interface corresponding to the application program set or the target display area in the display interface includes:

according to the number of the application programs in the application program set, adjusting the size and the shape of a display interface corresponding to the application program set or a target display area in the display interface;

and adjusting the theme of a display interface corresponding to the application program set or a target display area in the display interface according to the identification information of the application programs in the application program set.

Optionally, the method further comprises:

sorting at least one application in the set of applications;

the sorting result is stored and/or presented in the application program set.

The application also provides an application program processing method, which comprises the following steps:

s21: acquiring an application program set corresponding to a target application program;

s22: and modifying the resource scheduling parameters of the target application program according to the setting information corresponding to the application program set.

Optionally, the obtaining process of the setting information corresponding to the application set includes:

identifying or determining at least one characteristic information of the set of applications;

and determining or generating target setting information and associated setting parameter information according to the characteristic information so as to obtain setting information corresponding to the application program set.

Optionally, the feature information includes at least one of:

the security level of the application program set, the use frequency of the application program set and the use duration of the application program set.

The target setting information includes at least one of:

the method comprises the following steps of memory scheduling of the intelligent terminal, CPU scheduling of the intelligent terminal, electric quantity scheduling of the intelligent terminal, network speed scheduling of the intelligent terminal, screen brightness of the intelligent terminal and screen resolution of the intelligent terminal.

Optionally, the S22 includes:

acquiring current hardware parameters of the intelligent terminal;

and modifying the resource scheduling parameters of the target application program according to the hardware parameters and the setting information corresponding to the application program set.

Optionally, the modifying the resource scheduling parameter of the target application according to the hardware parameter and the setting information corresponding to the set of applications includes:

acquiring the weight proportion of the hardware parameters and the setting information corresponding to the application program set;

and modifying the resource scheduling parameters of the target application program according to the weight proportion.

The application also provides an intelligent terminal, including: the application program processing system comprises a memory and a processor, wherein the memory stores an application program processing program, and the application program processing program realizes the steps of any one of the application program processing methods when being executed by the processor.

The present application also provides a computer readable storage medium storing an application processing program, which when executed by a processor implements the steps of any of the application processing methods described above.

As described above, the application processing method of the present application is applied to an intelligent terminal, and may be configured to perform preprocessing on the first characteristic information and the second characteristic information, determine or generate at least one target application, determine or generate an application set according to the at least one target application, and output the application set in a combined manner. According to the technical scheme, the target application program meeting the conditions can be automatically selected, so that the application program set is created to be recommended to the user for use, the searching efficiency of the application program is greatly improved, and the user experience is improved.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application. In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments will be briefly described below, 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 schematic diagram of a hardware structure of an intelligent terminal implementing various embodiments of the present application;

fig. 2 is a communication network system architecture diagram according to an embodiment of the present application;

fig. 3 is a first flowchart of an application processing method according to an embodiment of the present application;

fig. 4 is a schematic diagram of a first scenario of an application processing method according to an embodiment of the present application;

fig. 5 is a schematic diagram of a second scenario of an application processing method according to an embodiment of the present application;

fig. 6 is a schematic diagram of a third scenario of an application processing method according to an embodiment of the present application;

fig. 7 is a fourth scenario diagram of an application processing method according to an embodiment of the present application;

fig. 8 is a schematic diagram of a fifth scenario of an application processing method according to an embodiment of the present application;

fig. 9 is a sixth scenario diagram of an application processing method according to an embodiment of the present application;

fig. 10 is a schematic diagram of a seventh scenario of an application processing method according to an embodiment of the present application;

fig. 11 is an eighth scenario diagram of an application processing method according to an embodiment of the present application;

fig. 12 is a schematic diagram illustrating a ninth scenario of an application processing method according to an embodiment of the present application;

fig. 13 is a schematic diagram of a tenth scenario of an application processing method according to an embodiment of the present application;

fig. 14 is a second flowchart illustrating an application processing method according to an embodiment of the present application;

fig. 15 is an eleventh scene schematic diagram of an application processing method according to an embodiment of the present application;

fig. 16 is a third flowchart illustrating an application processing method according to an embodiment of the present application;

fig. 17 is a schematic diagram of a twelfth scenario of an application processing method according to an embodiment of the present application;

fig. 18 is a schematic structural diagram of an application processing apparatus according to an embodiment of the present application;

fig. 19 is a schematic structural diagram of another application processing apparatus according to an embodiment of the present application.

The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings. With the above figures, there are shown specific embodiments of the present application, which will be described in more detail below. These drawings and written description are not intended to limit the scope of the inventive concepts in any manner, but rather to illustrate the inventive concepts to those skilled in the art by reference to specific embodiments.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the recitation of an element by the phrase "comprising an … …" does not exclude the presence of additional like elements in the process, method, article, or apparatus that comprises the element, and further, where similarly-named elements, features, or elements in different embodiments of the disclosure may have the same meaning, or may have different meanings, that particular meaning should be determined by their interpretation in the embodiment or further by context with the embodiment.

It should be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope herein. The word "if," as used herein, may be interpreted as "at … …" or "when … …" or "in response to a determination," depending on the context. Also, as used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes" and/or "including," when used in this specification, specify the presence of stated features, steps, operations, elements, components, items, species, and/or groups, but do not preclude the presence, or addition of one or more other features, steps, operations, elements, components, species, and/or groups thereof. The terms "or," "and/or," "including at least one of the following," and the like, as used herein, are to be construed as inclusive or mean any one or any combination. For example, "includes at least one of: A. b, C "means" any of the following: a; b; c; a and B; a and C; b and C; a and B and C ", again for example," A, B or C "or" A, B and/or C "means" any of the following: a; b; c; a and B; a and C; b and C; a and B and C'. An exception to this definition will occur only when a combination of elements, functions, steps or operations are inherently mutually exclusive in some way.

It should be understood that, although the steps in the flowcharts in the embodiments of the present application are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least some of the steps in the figures may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, in different orders, and may be performed alternately or at least partially with respect to other steps or sub-steps of other steps.

The words "if", as used herein, may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrase "if determined" or "if detected (a stated condition or event)" may be interpreted as "upon determining" or "in response to determining" or "upon detecting (a stated condition or event)" or "in response to detecting (a stated condition or event)", depending on the context.

It should be noted that step numbers such as S11 and S12 are used herein for the purpose of more clearly and briefly describing the corresponding contents, and do not constitute a substantial limitation on the sequence, and those skilled in the art may perform S12 first and then perform S11 in the specific implementation, which should be within the scope of the present application.

It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for the convenience of description of the present application, and have no specific meaning in themselves. Thus, "module", "component" or "unit" may be used mixedly.

The smart terminal may be implemented in various forms. For example, the smart terminal described in the present application may include a mobile terminal such as a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a Personal Digital Assistant (PDA), a Portable Media Player (PMP), a navigation device, a wearable device, a smart band, a pedometer, etc., and may further include a fixed terminal such as a Digital TV, a desktop computer, etc., in other embodiments.

The following description will be given taking a mobile terminal as an example, and it will be understood by those skilled in the art that the configuration according to the embodiment of the present application can be applied to a fixed type terminal in addition to elements particularly used for mobile purposes.

Referring to fig. 1, which is a schematic diagram of a hardware structure of a mobile terminal for implementing various embodiments of the present application, the mobile terminal 100 may include: RF (Radio Frequency) unit 101, WiFi module 102, audio output unit 103, a/V (audio/video) input unit 104, sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, processor 110, and power supply 111. Those skilled in the art will appreciate that the mobile terminal architecture shown in fig. 1 is not intended to be limiting of mobile terminals, which may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.

The various components of the mobile terminal are optionally described below in conjunction with fig. 1:

the radio frequency unit 101 may be configured to receive and transmit signals during information transmission and reception or during a call, and optionally, receive downlink information of a base station and then process the downlink information to the processor 110; in addition, the uplink data is transmitted to the base station. Typically, radio frequency unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 101 can also communicate with a network and other devices through wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System for Mobile communications), GPRS (General Packet Radio Service), CDMA2000 (Code Division Multiple Access 2000 ), WCDMA (Wideband Code Division Multiple Access), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access), FDD-LTE (Frequency Division duplex-Long Term Evolution), TDD-LTE (Time Division duplex-Long Term Evolution, Time Division Long Term Evolution), and fifth Generation (5 th Generation, 5G) Mobile communication systems.

WiFi belongs to short-distance wireless transmission technology, and the mobile terminal can help a user to receive and send e-mails, browse webpages, access streaming media and the like through the WiFi module 102, and provides wireless broadband internet access for the user. Although fig. 1 shows the WiFi module 102, it is understood that it does not belong to the essential constitution of the mobile terminal, and can be omitted entirely as needed within the scope not changing the essence of the invention.

The audio output unit 103 may convert audio data received by the radio frequency unit 101 or the WiFi module 102 or stored in the memory 109 into an audio signal and output as sound when the mobile terminal 100 is in a call signal reception mode, a call mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. Also, the audio output unit 103 may also provide audio output related to a specific function performed by the mobile terminal 100 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 103 may include a speaker, a buzzer, and the like.

The a/V input unit 104 is used to receive audio or video signals. The a/V input Unit 104 may include a Graphics Processing Unit (GPU) 1041 and a microphone 1042, the Graphics processor 1041 Processing image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 106. The image frames processed by the graphic processor 1041 may be stored in the memory 109 (or other storage medium) or transmitted via the radio frequency unit 101 or the WiFi module 102. The microphone 1042 may receive sounds (audio data) via the microphone 1042 in a phone call mode, a recording mode, a voice recognition mode, or the like, and may be capable of processing such sounds into audio data. The processed audio (voice) data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 101 in case of a phone call mode. The microphone 1042 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the course of receiving and transmitting audio signals.

The mobile terminal 100 also includes at least one sensor 105, such as a light sensor, a motion sensor, and other sensors. Optionally, the light sensor includes an ambient light sensor that may adjust the brightness of the display panel 1061 according to the brightness of ambient light, and a proximity sensor that may turn off the display panel 1061 and/or the backlight when the mobile terminal 100 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.

The display unit 106 is used to display information input by a user or information provided to the user. The Display unit 106 may include a Display panel 1061, and the Display panel 1061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.

The user input unit 107 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the mobile terminal. Alternatively, the user input unit 107 may include a touch panel 1071 and other input devices 1072. The touch panel 1071, also referred to as a touch screen, may collect a touch operation performed by a user on or near the touch panel 1071 (e.g., an operation performed by the user on or near the touch panel 1071 using a finger, a stylus, or any other suitable object or accessory), and drive a corresponding connection device according to a predetermined program. The touch panel 1071 may include two parts of a touch detection device and a touch controller. Optionally, the touch detection device detects a touch orientation of a user, detects a signal caused by a touch operation, and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 110, and can receive and execute commands sent by the processor 110. In addition, the touch panel 1071 may be implemented in various types, such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 1071, the user input unit 107 may include other input devices 1072. Optionally, other input devices 1072 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like, and are not limited thereto.

Alternatively, the touch panel 1071 may cover the display panel 1061, and when the touch panel 1071 detects a touch operation thereon or nearby, the touch panel 1071 transmits the touch operation to the processor 110 to determine the type of the touch event, and then the processor 110 provides a corresponding visual output on the display panel 1061 according to the type of the touch event. Although the touch panel 1071 and the display panel 1061 are shown in fig. 1 as two separate components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 1071 and the display panel 1061 may be integrated to implement the input and output functions of the mobile terminal, and is not limited herein.

The interface unit 108 serves as an interface through which at least one external device is connected to the mobile terminal 100. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 108 may be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within the mobile terminal 100 or may be used to transmit data between the mobile terminal 100 and external devices.

The memory 109 may be used to store software programs as well as various data. The memory 109 may mainly include a program storage area and a data storage area, and optionally, the program storage area may store an operating system, an application program (such as a sound playing function, an image playing function, and the like) required by at least one function, and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 109 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.

The processor 110 is a control center of the mobile terminal, connects various parts of the entire mobile terminal using various interfaces and lines, and performs various functions of the mobile terminal and processes data by operating or executing software programs and/or modules stored in the memory 109 and calling data stored in the memory 109, thereby performing overall monitoring of the mobile terminal. Processor 110 may include one or more processing units; preferably, the processor 110 may integrate an application processor and a modem processor, optionally, the application processor mainly handles operating systems, user interfaces, application programs, etc., and the modem processor mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 110.

The mobile terminal 100 may further include a power supply 111 (e.g., a battery) for supplying power to various components, and preferably, the power supply 111 may be logically connected to the processor 110 via a power management system, so as to manage charging, discharging, and power consumption management functions via the power management system.

Although not shown in fig. 1, the mobile terminal 100 may further include a bluetooth module and the like, which will not be described in detail herein.

In order to facilitate understanding of the embodiments of the present application, a communication network system on which the mobile terminal of the present application is based is described below.

Referring to fig. 2, fig. 2 is an architecture diagram of a communication Network system according to an embodiment of the present disclosure, where the communication Network system is an LTE system of a universal mobile telecommunications technology, and the LTE system includes a UE (User Equipment) 201, an E-UTRAN (Evolved UMTS Terrestrial Radio Access Network) 202, an EPC (Evolved Packet Core) 203, and an IP service 204 of an operator, which are in communication connection in sequence.

Optionally, the UE201 may be the mobile terminal 100 described above, and is not described herein again.

The E-UTRAN202 includes eNodeB2021 and other eNodeBs 2022, among others. Alternatively, the eNodeB2021 may be connected with other enodebs 2022 through a backhaul (e.g., X2 interface), the eNodeB2021 is connected to the EPC203, and the eNodeB2021 may provide the UE201 access to the EPC 203.

The EPC203 may include an MME (Mobility Management Entity) 2031, an HSS (Home Subscriber Server) 2032, other MMEs 2033, an SGW (Serving gateway) 2034, a PGW (PDN gateway) 2035, and a PCRF (Policy and Charging Rules Function) 2036, and the like. Optionally, the MME2031 is a control node that handles signaling between the UE201 and the EPC203, providing bearer and connection management. HSS2032 is used to provide registers to manage functions such as home location register (not shown) and holds subscriber specific information about service characteristics, data rates, etc. All user data may be sent through SGW2034, PGW2035 may provide IP address assignment for UE201 and other functions, and PCRF2036 is a policy and charging control policy decision point for traffic data flow and IP bearer resources, which selects and provides available policy and charging control decisions for a policy and charging enforcement function (not shown).

The IP services 204 may include the internet, intranets, IMS (IP Multimedia Subsystem), or other IP services, among others.

Although the LTE system is described as an example, it should be understood by those skilled in the art that the present application is not limited to the LTE system, but may also be applied to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA, and future new network systems (e.g. 5G), and the like.

Based on the above mobile terminal hardware structure and communication network system, various embodiments of the present application are provided.

Referring to fig. 3, fig. 3 is a first flowchart illustrating an application processing method according to an embodiment of the present disclosure. The flow of the application program processing method can comprise the following steps:

and S11, preprocessing the first characteristic information and the second characteristic information, and determining or generating at least one target application program.

The execution main body of the embodiment of the application can be an intelligent terminal, and can also be an application processing device arranged in the intelligent terminal. Alternatively, the application processing means may be implemented by software, or by a combination of software and hardware. The intelligent terminal may be a terminal device such as a smart phone, a tablet Computer, a notebook Computer, an Ultra-mobile Personal Computer (UMPC), a netbook, a Personal Digital Assistant (PDA), and the like, but is not limited thereto.

Optionally, when the intelligent terminal displays the current interface, if the user needs the intelligent terminal to recommend the application program, the intelligent terminal may respond to the operation instruction by inputting the operation instruction and select at least one target application program meeting the condition, so as to recommend the application program to the user. Optionally, the user may input an operation instruction to the intelligent terminal to start the preset function, and the intelligent terminal may automatically retrieve the target application program that satisfies the preset function. Optionally, the preset function may be an application recommendation function, that is, an application program recommended to be used by the current user.

Optionally, the operation instruction may be at least one of the following: single click, double click, long press, continuous click, sliding operation in a preset direction and an air separating gesture. The operation instruction may include any one of a long press, a double-click, a continuous click, a sliding operation in a preset direction, and an alternate air gesture for a preset position, and may also include a combination of any two or more of a long press, a double-click, a continuous click, a sliding operation in a preset direction, and an alternate air gesture. When the operation instruction is any one of long pressing, double clicking, continuous clicking, sliding operation in a preset direction and air separating gestures, the operation time can be saved. When the operation instruction is the combination of any two or more of long press, double click, continuous click, sliding operation in a preset direction and air separation gesture, the operation accuracy can be improved, and the mistaken touch is prevented. The mode of operation instruction can be various, not only can improve the flexibility of user's operation, can also satisfy different users' hobby and use custom, promotes user experience.

Optionally, the operation instruction may also be a touch instruction for a preset function button, please refer to fig. 4, in this embodiment, a total of 16 applications in 4 rows and 4 columns may be placed on the desktop of the intelligent terminal, in addition, an "application recommendation" function button may be set in another free area of the desktop, when the user clicks the function button, the intelligent terminal confirms to start the application recommendation function, and performs the step of determining or generating at least one target application according to the first characteristic information and the second characteristic information. Optionally, the function button may be further disposed in a pull-down menu of the intelligent terminal, or the function button may be disposed in a side bar of the intelligent terminal, or the function button may be disposed in a side frame of the intelligent terminal as an entity key, which is not further limited in this application.

Optionally, the operation instruction may also be a voice instruction, as shown in fig. 5, for example, when the intelligent terminal starts the voice assistant and receives a voice instruction of the user, the user may speak "recommend me application" to the intelligent terminal, the intelligent terminal first performs text recognition, and after the contents are successfully recognized, it may be determined that the corresponding application recommendation function needs to be started, so as to perform a subsequent step of determining or generating at least one target application program.

Optionally, the application recommendation function may be automatically started by the intelligent terminal according to the current usage scenario. In an embodiment, the intelligent terminal may automatically start the application recommendation function when the user closes the application, so that the user can quickly start a next target application to be used. In another embodiment, the intelligent terminal may also automatically turn on the application recommendation function within a preset time period, for example, every night, and 18:00-22:00 is the entertainment time of the user, so that the intelligent terminal may automatically turn on the application recommendation function within the time period, which is convenient for the user to find and use the application program. In other embodiments, the intelligent terminal can also automatically start the application recommendation function when the screen is lightened during unlocking every time, so that the application program recommended by the intelligent terminal can be seen in the first time when the intelligent terminal enters the desktop after unlocking every time. Optionally, it may be further determined whether the current interface displayed after the screen is turned on for unlocking is a desktop, if so, the step of starting the application recommendation function is continuously performed, and if not, the function does not need to be started.

It should be noted that the target application may also be a fast application (i.e., an applet) and/or a widget (widget). Such as "WeChat" applets and "Payment treasure" applets, etc., or may be a weather component, a clock component, a calendar component, etc., in an intelligent terminal. Optionally, the target application may also be at least one shortcut function in an application, such as a "scan" function in a "WeChat" application, or a "health code" function in a "WeChat" applet "Guangdong province", which may be both used as the target application and acquire corresponding feature information. Alternatively, the target application may be a shortcut to a file, such as a multimedia file, a document, a compressed package, etc.

Optionally, at least one widget may be disposed on a desktop of the smart terminal, please refer to fig. 6, in which the desktop may include two pages, a first page may include one calendar component and 12 applications, and a second page may include 16 applications and an "application recommendation" function button, and a user may perform page switching by sliding left and right in the desktop, for example, sliding left in the first page to switch to the second page, or sliding right in the second page to switch to the first page.

Optionally, when at least one target application is determined or generated according to the first characteristic information and the second characteristic information, the first characteristic information and the second characteristic information may be state information of the intelligent terminal and historical usage information of the application, respectively. Optionally, the first feature information and the second feature information may also be multidimensional feature information, where the multidimensional feature information has dimensions with a certain length, and a parameter in each dimension corresponds to one feature information representing the intelligent terminal and/or the application program, that is, the multidimensional feature information is composed of multiple features.

Optionally, the first feature information may include related feature information of the intelligent terminal, for example: the mobile data connection state of the intelligent terminal, the WLAN (Wireless Local Area Network) connection state, the bluetooth connection state, the NFC (Near Field Communication) connection state, the standby mode of the intelligent terminal, the current electric quantity, the current time, the screen turn-off time and the screen turn-on time of the intelligent terminal within a preset time period, whether the intelligent terminal is in a charging state, and the like. The second characteristic information may include historical usage information of the application program, such as: historical use time of the application program, average power consumption of the application program, the time length of the application program switching into the background, the screen-off time length of the intelligent terminal during the period of the application program switching into the background, the number of times of the application program entering the foreground and the time length of the application program in the foreground; the application program enters the background mode, for example, the mode is switched to enter by a home key, the mode is switched to enter by a return key, the mode is switched to enter by other applications, and the like. Optionally, the first feature information may be obtained through a status bar of the smart terminal, as shown in fig. 7, the status bar includes a plurality of states of setting information, and in addition, includes information such as a current signal state, operator information, a current time, and a current power amount.

Optionally, if the intelligent terminal determines the current remaining power according to the first feature information, and then determines the average power consumption of each installed application program according to the second feature information, the target application program with lower power consumption may be recommended to the user when the intelligent terminal has low power consumption. The average power consumption may be expressed by power consumption per unit time, for example, the foreground operation time and the total power consumption of each application in the last 24 hours are respectively counted, so as to calculate the power consumption per hour as the average power consumption. Alternatively, if the total time of foreground operation of the application a in the last 24 hours is 2.5 hours and the total power consumption is 500mAh, the average power consumption of the application a is calculated to be 200 mAh/hour. After the average power consumption of all the application programs is obtained, the application program with lower average power consumption can be used as the target application program. Optionally, if the intelligent terminal determines the current time according to the first feature information, and then determines the historical use time and the operation time length of each installed application program according to the second feature information, the application program with a longer operation time length and the historical use time satisfying the current time may be used as the target application program. For example, when the historical usage information of the application programs is counted, it is found that the application programs most frequently used by the user at 10 am are respectively the application program 1, the application program 2, the application program 3 and the application program 4 which are sequentially arranged from high to low, and the application programs most frequently used at 8 pm are respectively the application program 5, the application program 6, the application program 7 and the application program 8 which are sequentially arranged from high to low, so that when the application recommendation function is triggered at 8 pm, the application program 5, the application program 6, the application program 7 and the application program 8 can be used as target application programs. Therefore, in this embodiment, the acquiring process of the first feature information may include: acquiring current setting information and/or environmental information of the intelligent terminal, wherein the acquiring process of the second characteristic information comprises the following steps: the method comprises the steps of obtaining historical setting information and/or historical environment information of each application program in the intelligent terminal when the application program runs in a preset time period. Optionally, when the target application program is selected, the correlation information of the first characteristic information and the second characteristic information of each application program is calculated respectively, and then at least one target application program is determined or generated according to the correlation information. Optionally, the relevance information may include a degree of relevance or a degree of matching.

And S12, determining or generating an application program set according to the at least one target application program.

Optionally, when at least one target application program is determined or generated according to the first characteristic information and the second characteristic information, the target parameter of each application program may be calculated according to the characteristic information, and then the application program with the target parameter meeting a preset value may be selected as the target application program. Optionally, the target parameters of the application program may include a usage probability, a usage period, a usage frequency, a usage duration, an operation number, a usage flow, a power consumption amount, and the like of the application program.

Optionally, when the target parameter is the usage probability, after the usage probability of each application is calculated through the above feature information, the application with the usage probability satisfying a preset probability (for example, the usage probability is greater than or equal to 50%) is selected as the target application, and finally, the target application is output to the user through the application set.

Alternatively, the set of applications may be presented to the user in the form of a list. For example, all target applications may be arranged in a preset order and then presented in the recommendation list according to the preset order. The preset sequence may be an arrangement sequence of the target application program on the desktop, and the preset sequence may also be an arrangement sequence of the usage probabilities. Referring to fig. 8, the target applications with the usage probability exceeding 50% determined in S11 include

applications

1, 2, 3, 5, 8, 15, 18, wherein the order sorted according to the usage probability is 95% of the usage probability of the application 3, 90% of the usage probability of the application 8, 88% of the usage probability of the application 15, 70% of the usage probability of the application 18, 66% of the usage probability of the application 1, 60% of the usage probability of the application 2, and 52% of the usage probability of the application 5, and thus can be presented to the user in the recommendation list according to the order. Optionally, an identifier may be further added to the recommendation list, for example, an identifier of a percentage of the usage probability is displayed beside the target application to characterize the usage probability of each target application, so as to facilitate the user to view.

Optionally, the set of applications may also be exposed in the form of a folder. For example, the set of applications may be presented in a target interface, and the target interface may be determined or selected by the intelligent terminal in the current interface, and then output the target interface in the target area. For example, a free area is determined in the current interface, wherein the free area is an area for displaying unnecessary content and/or an area containing no functional component, and then the target interface is output in the free area to display the application program set. In an embodiment, an application set may be generated in the at least one target application or by selecting a preset number of applications, for example, in fig. 9, 4 applications may be displayed in the output recommendation set, and then the application 3, the application 8, the application 15, and the application 18 with the highest probability of use in the at least one target application may be used as the recommendation application and displayed in the recommendation set. That is, after determining or generating the set of applications, the method further comprises: and sequencing at least one application program in the application program set, and storing and/or displaying a sequencing result in the application program set.

Optionally, the target interface may be displayed in the form of a floating window, for example, when a user needs to display the target interface in the current interface, the target interface may be displayed in the form of a floating window and the application program may be collected and displayed in the target interface, as shown in fig. 9. Through the form of the floating window, the user can call the target interface at any time to display the application program set, and the use experience of the user is improved.

Optionally, referring to fig. 10, the position of the target interface may also be a sidebar of the intelligent terminal, and in this embodiment of the application, it is considered that most users mainly use the intelligent terminal with the right hand, so that the target interface may be arranged on the sidebar on the right side, so as to facilitate quick clicking by the user. In other embodiments, if the user is accustomed to controlling the intelligent terminal with the left hand, the position of the target interface can be set on the side bar on the left side. It should be noted that when the display position of the target interface is located in the side bar of the screen, the icons of the target application programs may be arranged vertically as shown in fig. 10. Optionally, in some embodiments, if the screen of the smart terminal is a folding screen, in order to adapt to the usage habit of the user, the position of the target interface may be that one portion of the target interface is located at the top of one screen, and another portion of the target interface is located at a side bar of another screen.

When the application set is displayed on the desktop of the intelligent terminal, optionally, icons of the applications displayed in the application set, which are located in the desktop, may also be deleted, please refer to fig. 11, after the

applications

3, 8, 15, and 18 are displayed in the recommendation set, the corresponding icons may be deleted in the desktop, and the icons of the subsequent applications are used for position supplement.

Optionally, the target interface may be a new interface, such as a jump directly from the current interface to the target interface. It should be noted that, when the target interface is displayed in the form of a floating window, the floating window only occupies a partial area of the current interface of the intelligent terminal, and when the target interface is displayed in a new interface, the new interface replaces the original interface.

And S13, outputting the application program assembly.

Optionally, after determining or generating the set of applications according to the at least one target application, the set of applications may be output to a display screen of the smart terminal for use by the user. Optionally, the application program set may be output to other intelligent terminals, or the application program set may be output to a cloud, so as to implement recommendation of the application program set to a user.

The application sets may be one or more, as shown in fig. 12, in this embodiment, two application sets are included, and the two application sets are presented in the target interface as a new interface. For example, the first recommendation set may be generated according to a target application with a usage probability greater than or equal to 90%, and the second recommendation set may be generated according to a target application with a usage probability less than 90% and greater than or equal to 50%. The first recommendation set comprises 2 application programs, namely an application program 3 and an application program 8, and the second recommendation set comprises 6 application programs, namely an application program 15, an application program 18, an application program 20, an application program 21, an application program 22 and an application program 23.

Further, referring to fig. 12, the default display ratio of the application sets in the target interface may be 1:1, where the display ratio may be the area ratio of the display regions of the application sets, and therefore, in this embodiment, the area ratio of the display regions of the first recommendation set and the second recommendation set is 1:1, that is, the areas are the same. However, the first recommendation set includes only two applications, and the second recommendation set includes 6 applications, so that displaying only two applications in the default display area of the first recommendation set leaves the interior of the first recommendation set blank, and displaying 6 applications in the default display area of the second recommendation set makes the second recommendation set crowded. In order to avoid the above situation, optionally, the intelligent terminal may further automatically adjust the display proportions of the plurality of application sets according to the number of the applications in the application sets, so that the display of the plurality of application sets in the target interface is more reasonable, and the user can conveniently view the display. As shown in fig. 13, the intelligent terminal may automatically adjust the area ratio of the display areas of the first recommendation set and the second recommendation set to 1: 3. In other embodiments, the icons of the application programs in the first recommendation set are also enlarged, and the icons of the application programs in the second recommendation set are reduced, so that the display is more harmonious.

Optionally, in the above set of applications, the icon style of the application may include at least one of: circular icons, rectangular icons, rounded rectangular icons, dynamic icons, and the like. Optionally, a uniform icon style may be set for all application icons in the application set, or a corresponding style may be set for each application icon. Optionally, the pop-up manner of the application program set may include at least one of the following: fade-in and fade-out, expansion and zoom, direct jump and the like.

Optionally, the user's operation may also be continuously received to close the target interface, thereby closing and/or hiding the exposed application set. The target interface may be triggered by a preset gesture when being closed or hidden, optionally, a closing and/or hiding button may be set in the target interface, specifically, the closing and/or hiding button may be set in the upper right corner of the target interface, and when a triggering operation of the user on the button is detected, the target interface is closed and/or hidden.

As can be seen from the above, the application processing method according to the embodiment of the present application may perform preprocessing on the first characteristic information and the second characteristic information, determine or generate at least one target application, determine or generate an application set according to the at least one target application, and output the application set. According to the technical scheme, the target application program meeting the conditions can be automatically selected, so that the application program set is created to be recommended to the user for use, the searching efficiency of the application program is greatly improved, and the user experience is improved.

An embodiment of the present application further provides an application processing method, please refer to fig. 14, where fig. 14 is a second flowchart illustrating the application processing method according to the embodiment of the present application, and the method includes:

and S21, determining or generating the use probability corresponding to all the application programs according to the first characteristic information and the second characteristic information.

Optionally, when the intelligent terminal displays the current interface, if the user starts the application recommendation function, the intelligent terminal needs to select at least one target application program from all installed application programs, and specifically, after responding to the operation instruction, all the application programs installed in the intelligent terminal may be obtained first. Such as finding an installed application from the stored data of the intelligent terminal. Alternatively, the searching may be performed by searching an installation file in the stored data, where the installation file may include an executable file or a DLL (dynamic link library) file of a file corresponding to the installed application program, and each entry in the registry.

After all the application programs installed in the intelligent terminal are acquired, the use probability of each application program can be calculated respectively, and specifically, state information of each application program associated with the intelligent terminal and feature information of the application program can be acquired first. It should be noted that, since the first feature information and the second feature information are all state information of the intelligent terminal and feature information sets of the application programs, the step of determining or generating the use probabilities corresponding to all the application programs according to the first feature information and the second feature information may include: extracting first sub-feature information and second sub-feature information corresponding to each application program from the first feature information and the second feature information, and inputting the first sub-feature information and the second sub-feature information into a preset model to output the use probability of each application program.

Alternatively, in calculating the usage probability of each application program described above, the calculation may be performed by a neural network model. Optionally, in the embodiment of the present application, a preset network model may be trained through a training set, for example, terminal state information and application characteristic information of each application program used in a historical time period are obtained in advance to construct the training set, then the training set is input to a recurrent neural network model and/or a stacked self-coding neural network model for training, and model parameters are optimized through multiple iterations to obtain a trained prediction model. Alternatively, the application may be any application installed in the smart terminal, such as a communication application, a multimedia application, a game application, an information application, or a shopping application, etc. After obtaining the prediction model, the current first sub-feature information and the current second sub-feature information of each application program can be used as input values, and the predicted value output by the prediction model can be used as the use probability of the application program.

And S22, identifying or determining the application program with the use probability meeting the preset value as the target application program.

Alternatively, for example, the

applications

1, 2, 3, 5, 8, 15, and 18 with the usage probability exceeding 50% are determined among the applications installed in the smart terminal, and these applications may be used as the target applications. The preset value can be automatically set by the intelligent terminal or manually set by a user according to personal habits, and further description is not given in the embodiment of the application.

Optionally, the target application may also be an application that is not installed in the intelligent terminal. For example, when the user starts the recommended installation function through the operation instruction, the intelligent terminal may recommend at least one application program for the user in the application store, and use the application program as the target application program. Since the uninstalled application program cannot acquire the first characteristic information and the second characteristic information, the first characteristic information and the second characteristic information of other users who install the application program can be acquired through the big data, so that probability prediction is performed according to the big data. Optionally, the intelligent terminal may also search for the same type of application programs in the application store according to the type of the currently installed application programs for recommendation.

And S23, dividing at least one target application program into at least one category according to the preset probability interval.

For example, the 7 target applications are sorted according to the usage probability, and the sorted order is 95% of the usage probability of the application 3, 90% of the usage probability of the application 8, 88% of the usage probability of the application 15, 70% of the usage probability of the application 18, 66% of the usage probability of the application 1, 60% of the usage probability of the application 2, and 52% of the usage probability of the application 5. Optionally, the intelligent terminal may further generate a first recommendation set according to the target application program with the usage probability greater than or equal to 90%, and generate a second recommendation set according to the target application program with the usage probability less than 90% and greater than or equal to 50%. The first recommendation set comprises 2 application programs, namely an application program 3 and an application program 8, and the second recommendation set comprises 5 application programs, namely an application program 15, an application program 18, an application program 1, an application program 2 and an application program 5.

And S24, determining or generating at least one corresponding application program set according to the at least one category.

Optionally, after the first recommendation set and the second recommendation set are obtained, the first recommendation set and the second recommendation set may be displayed in a target interface. The target interface can be displayed in the form of a floating window, for example, when a user needs to display the target interface in the current interface, the target interface can be displayed through the floating window and the application program can be collected in the target interface for displaying. Referring to fig. 15, in this embodiment, the application 3 in the first recommendation set is an installed application, the application 8 is an uninstalled application, the

applications

15, 18, 1, and 2 in the second recommendation set are installed applications, and the application 5 is an uninstalled application. To further distinguish the installed application from the uninstalled application, the embodiment may also change the icon borders of the uninstalled application 8 and the application 5, for example, to the dashed borders. When a user clicks an installed application program, the intelligent terminal can be directly opened to operate, and when the user clicks an uninstalled application program, the intelligent terminal can be installed firstly and automatically operates after the installation is completed.

Optionally, before generating the application set, the intelligent terminal may further determine in advance whether the target application is currently running, if not, may continue to generate the application set, and if the target application is currently running, for example, has been opened in the system background, it is not necessary to put it into the application set. That is, before generating the set of applications, the method may further include: and acquiring the currently running application program of the intelligent terminal, determining that the at least one target application program is not the currently running application program, and executing the step of determining or generating at least one corresponding application program set according to at least one category.

Optionally, after generating the set of applications, the method may further include: and adjusting a display interface corresponding to the application program set or a target display area in the display interface according to the target application program. Specifically, the size of the display interface corresponding to the application program set or the size of the target display area in the display interface may be adjusted according to the number of the application programs in the application program set; or adjusting the shape of a display interface corresponding to the application program set or a target display area in the display interface according to the number of the application programs in the application program set; and adjusting the theme of the display interface corresponding to the application program set or the target display area in the display interface according to the identification information of the application programs in the application program set.

As can be seen from the above, in the embodiment of the application, the use probabilities respectively corresponding to all the application programs may be determined or generated according to the first feature information and the second feature information, the application program with the use probability satisfying the preset value is identified or determined as the target application program, at least one target application program is divided into at least one category according to the preset probability interval, and the corresponding at least one application program set is determined or generated according to the at least one category. According to the technical scheme, the target application program meeting the conditions can be automatically selected, so that the application program set is created to be recommended to the user for use, the searching efficiency of the application program is greatly improved, and the user experience is improved.

Referring to fig. 16, fig. 16 is a third flowchart illustrating an application processing method according to an embodiment of the present application. The flow of the application program processing method can comprise the following steps:

and S31, acquiring an application program set corresponding to the target application program.

Optionally, at least one application set may be set in the intelligent terminal according to the embodiment of the present application, where the at least one application set may be classified according to the type of the application, and/or the at least one application set may be classified according to the security level of the application, and/or the at least one application set may be classified according to the usage frequency of the application, and/or the at least one application set may be classified according to the usage duration of the application.

When the user starts the application program, the intelligent terminal can judge the application program set where the application program is located. Optionally, as shown in fig. 17, for example, 14 applications may be classified into 3 classes according to types of the applications on the desktop of the smart terminal, where the 3 classes are respectively game-

type applications

1, 2, 3, and 4, and are located in the game set, the video-

type applications

5, 6, 7, and 8 are located in the video set, and the shopping-

type applications

9, 10, 11, 12, 13, and 14 are located in the shopping set. When the user clicks to open the application 1, it can be determined that the target application is the application 1, and the corresponding application set is a game set.

And S32, modifying the resource scheduling parameters of the target application program according to the setting information corresponding to the application program set.

Optionally, after the application program set is determined, the setting information corresponding to the application program set may be further obtained, specifically, at least one feature information of the application program set may be identified or determined first, and then the target setting information and the associated setting parameter information are determined or generated according to the feature information, so as to obtain the setting information corresponding to the application program set. For example, the application set is a navigation application, and the positioning function of the intelligent terminal needs to be used when the application is used, so that the target setting information corresponding to the navigation application set can be set for positioning, and the setting parameter information can be set for opening positioning. For another example, the application set is a game application, and since the game application needs to occupy more CPU resources, the target setting information corresponding to the game set may be a CPU frequency, and the setting parameter information may be setting the CPU frequency to a high frequency.

Optionally, the characteristic information includes at least one of: the security level of the application program set, the use frequency of the application program set and the use duration of the application program set. The target setting information includes at least one of: the method comprises the following steps of memory scheduling of the intelligent terminal, CPU scheduling of the intelligent terminal, electric quantity scheduling of the intelligent terminal, network speed scheduling of the intelligent terminal, screen brightness of the intelligent terminal and screen resolution of the intelligent terminal.

Optionally, when the resource scheduling parameter of the target application program is modified, the current hardware parameter of the intelligent terminal may also be obtained, and then the resource scheduling parameter of the target application program is modified according to the hardware parameter and the setting information corresponding to the application program set. For example, when the current electric quantity of the intelligent terminal is low, the picture brightness is reduced in the setting information corresponding to the application program set, the CPU frequency is reduced, and the like, so that the purpose of saving electricity is achieved.

The step of modifying the resource scheduling parameter of the target application according to the hardware parameter and the setting information corresponding to the set of applications may include: and acquiring the weight proportion of the hardware parameters and the setting information corresponding to the application program set, and modifying the resource scheduling parameters of the target application program according to the weight proportion.

As can be seen from the above, the embodiment of the present application may obtain the application set corresponding to the target application, and modify the resource scheduling parameter of the target application according to the setting information corresponding to the application set. According to the technical scheme, the intelligent terminal resource scheduling parameters of the response can be set for different application program sets, the adaptability of different application programs and the intelligent terminal during operation is improved, and therefore higher use efficiency is achieved, and user experience is improved.

Fig. 18 is a schematic structural diagram of an application processing apparatus according to an embodiment of the present application. The application processing device can be arranged in the intelligent terminal. Referring to fig. 18, the application processing device 30 may include:

a determining module 301, configured to pre-process the first feature information and the second feature information, and determine or generate at least one target application;

a generating module 302, configured to determine or generate an application set according to the at least one target application;

and an output module 303, configured to output the set of applications.

Alternatively, referring to fig. 19, the determining module 301 may include:

the determining submodule 3011 is configured to determine or generate, according to the first feature information and the second feature information, usage probabilities corresponding to all the application programs respectively;

and the identifying sub-module 3012 is configured to identify or determine that the application with the usage probability meeting the preset value is a target application.

Optionally, the generating module 302 may include:

a partitioning submodule 3021, configured to partition the at least one target application into at least one category according to a preset probability interval;

the generating sub-module 3022 is configured to determine or generate at least one corresponding application set according to the at least one category.

Optionally, the application processing device 30 may further include:

and an adjusting module 304, configured to adjust, according to the target application program, a display interface corresponding to the application program set and/or a target display area in the display interface.

Optionally, the adjusting module 304 may be specifically configured to adjust, according to the number of the application programs in the application program set, a size of a display interface corresponding to the application program set and/or a size of a target display area in the display interface; and/or adjusting the shape of a display interface corresponding to the application program set and/or a target display area in the display interface according to the number of the application programs in the application program set; and/or adjusting the theme of the display interface corresponding to the application program set and/or the target display area in the display interface according to the identification information of the application programs in the application program set.

The application processing device provided by the embodiment of the application can be used for preprocessing the first characteristic information and the second characteristic information, determining or generating at least one target application, determining or generating an application set according to the at least one target application, and outputting the application set. According to the technical scheme, the target application program meeting the conditions can be automatically selected, so that the application program set is created to be recommended to the user for use, the searching efficiency of the application program is greatly improved, and the user experience is improved.

The embodiment of the present application further provides an intelligent terminal, where the intelligent terminal includes a memory and a processor, and an application processing program is stored in the memory, and when the application processing program is executed by the processor, the steps of the application processing method in any of the above embodiments are implemented.

The embodiment of the present application further provides a computer-readable storage medium, where an application processing program is stored on the computer storage medium, and when the application processing program is executed by a processor, the steps of the application processing method in any of the above embodiments are implemented.

In the embodiments of the intelligent terminal and the computer-readable storage medium provided in the present application, all technical features of any of the embodiments of the application processing method may be included, and the expanding and explaining contents of the specification are basically the same as those of the embodiments of the method, and are not described herein again.

Embodiments of the present application further provide a computer program product, which includes computer program code, when the computer program code runs on a computer, the computer is caused to execute the method in the above various possible folder processing embodiments.

Embodiments of the present application further provide a chip, which includes a memory and a processor, where the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that a device in which the chip is installed executes the method in the above various possible folder processing embodiments.

It should be understood that the foregoing scenarios are only examples, and do not constitute a limitation on application scenarios of the technical solutions provided in the embodiments of the present application, and the technical solutions of the present application may also be applied to other scenarios. For example, as a person having ordinary skill in the art can know, with the evolution of the system architecture and the emergence of new service scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

The serial numbers of the embodiments in this application are only for description and do not represent the advantages and disadvantages of the embodiments.

The steps in the method of the embodiment of the application can be sequentially adjusted, combined and deleted according to actual needs.

The modules or units in the device in the embodiment of the application can be combined, divided and deleted according to actual needs.

In the present application, the same or similar term concepts, technical solutions and/or application scenario descriptions will be generally described only in detail at the first occurrence, and when the description is repeated later, the detailed description will not be repeated in general for brevity, and when understanding the technical solutions and the like of the present application, reference may be made to the related detailed description before the description for the same or similar term concepts, technical solutions and/or application scenario descriptions and the like which are not described in detail later.

In the present application, each embodiment is described with emphasis, and reference may be made to the description of other embodiments for parts that are not described or illustrated in any embodiment.

The technical features of the technical solution of the present application may be arbitrarily combined, and for brevity of description, all possible combinations of the technical features in the embodiments are not described, however, as long as there is no contradiction between the combinations of the technical features, the scope of the present application should be considered as being described in the present application.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, a controlled terminal, or a network device) to execute the method of each embodiment of the present application.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions according to the embodiments of the present application are all or partially generated when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, digital subscriber line) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, memory Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are included in the scope of the present application.

Claims

1. An application processing method, comprising the steps of:

s13: and outputting the application program set.

2. The method according to claim 1, wherein the S11 includes:

and identifying or determining the application program with the target parameter meeting the preset parameter as a target application program.

3. The method according to claim 2, wherein the determining or generating the target parameters corresponding to all the applications according to the first feature information and the second feature information comprises:

4. The method according to claim 1, wherein the S11 includes:

5. The method according to claim 2, wherein the S12 includes:

6. The method according to any one of claims 1 to 5, wherein before the S12, the method further comprises:

7. The method according to any one of claims 1 to 5, further comprising:

8. The method of claim 7, wherein the adjusting the display interface corresponding to the set of applications or the target display area in the display interface according to the target application comprises:

9. The method according to any one of claims 1 to 5, further comprising:

sorting at least one application in the set of applications;

the sorting result is stored and/or presented in the application program set.

10. An application processing method, comprising the steps of:

11. The method according to claim 10, wherein the obtaining of the setting information corresponding to the set of applications comprises:

12. The method of claim 11, wherein the feature information comprises at least one of:

the security level of the application program set, the use frequency of the application program set and the use duration of the application program set;

the target setting information includes at least one of:

the method comprises the steps of memory scheduling of the intelligent terminal, CPU scheduling of the intelligent terminal, electric quantity scheduling of the intelligent terminal, network speed scheduling of the intelligent terminal, screen brightness of the intelligent terminal and screen resolution of the intelligent terminal.

13. The method according to claim 10, wherein the S22 includes:

acquiring current hardware parameters of the intelligent terminal;

14. The method of claim 13, wherein modifying the resource scheduling parameter of the target application according to the hardware parameter and the setting information corresponding to the set of applications comprises:

15. An intelligent terminal, characterized in that, intelligent terminal includes: memory, a processor, wherein the memory has stored thereon an application processing program, which when executed by the processor implements the steps of the application processing method of any of claims 1 to 14.

16. A computer-readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the application processing method according to any one of claims 1 to 14.