CN114138358A - Application program starting optimization method, device, equipment and storage medium - Google Patents

Application program starting optimization method, device, equipment and storage medium Download PDF

Info

Publication number
CN114138358A
CN114138358A CN202111296131.5A CN202111296131A CN114138358A CN 114138358 A CN114138358 A CN 114138358A CN 202111296131 A CN202111296131 A CN 202111296131A CN 114138358 A CN114138358 A CN 114138358A
Authority
CN
China
Prior art keywords
starting
user terminals
category
user terminal
optimized
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202111296131.5A
Other languages
Chinese (zh)
Inventor
宋国涛
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
LeTV Sports Culture Develop Beijing Co Ltd
Original Assignee
LeTV Sports Culture Develop Beijing Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by LeTV Sports Culture Develop Beijing Co Ltd filed Critical LeTV Sports Culture Develop Beijing Co Ltd
Priority to CN202111296131.5A priority Critical patent/CN114138358A/en
Publication of CN114138358A publication Critical patent/CN114138358A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44—Arrangements for executing specific programs
    • G06F9/445—Program loading or initiating
    • G06F9/44505—Configuring for program initiating, e.g. using registry, configuration files
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques

Abstract

The embodiment of the disclosure provides a method, a device, equipment and a storage medium for starting optimization of an application program. The method comprises the following steps: receiving equipment information of a user terminal and starting time of an application program to be optimized, wherein the equipment information is sent by the user terminal for installing the application program to be optimized; clustering the user terminals according to the equipment information of the user terminals; determining a starting optimization instruction corresponding to the user terminals of the same category according to the starting duration corresponding to the user terminals of the same category; and sending a starting optimization instruction to the user terminals of the category so that the user terminals of the category execute starting optimization on the application program to be optimized according to the starting optimization instruction. In this way, the user terminals for installing the application program to be optimized can be clustered, so that the user terminals of each category uniformly execute starting optimization on the application program to be optimized, and the optimization efficiency is improved.

Description

Application program starting optimization method, device, equipment and storage medium
Technical Field
The present disclosure relates to the field of computers, and in particular, to a method, an apparatus, a device, and a storage medium for optimizing starting of an application program.
Background
At present, the start-up duration of an Application (APP) is an important factor affecting user experience, and the start-up duration is also commonly used as a key parameter for measuring the performance of equipment in some equipment evaluation programs. The conventional starting optimization scheme is that the APP to be optimized of each user terminal is independently optimized according to the starting duration of the APP to be optimized installed on each user terminal, and the optimization efficiency is low under the condition that a plurality of user terminals are installed with the APP to be optimized.
Disclosure of Invention
The disclosure provides a method, a device, equipment and a storage medium for optimizing the starting of an application program, which can improve the efficiency of optimizing the starting of the application program.
In a first aspect, an embodiment of the present disclosure provides a method for optimizing starting of an application, where the method includes:
receiving equipment information of a user terminal and starting time of an application program to be optimized, wherein the equipment information is sent by the user terminal for installing the application program to be optimized;
clustering the user terminals according to the equipment information of the user terminals;
determining a starting optimization instruction corresponding to the user terminals of the same category according to the starting duration corresponding to the user terminals of the same category;
and sending a starting optimization instruction to the user terminals of the category so that the user terminals of the category execute starting optimization on the application program to be optimized according to the starting optimization instruction.
In some implementations of the first aspect, the device information includes at least one of: device type, hardware configuration, operating system version, network type.
In some implementation manners of the first aspect, determining the start optimization instruction corresponding to the user terminals of the same category according to the start duration corresponding to the user terminals of the same category includes:
calculating the average starting duration corresponding to the user terminals of the same category according to the starting durations corresponding to the user terminals of the same category;
and if the average starting time length corresponding to the user terminals of the category is greater than or equal to the preset time length threshold, determining a starting optimization instruction corresponding to the user terminals of the category according to the average starting time length corresponding to the user terminals of the category.
In some implementation manners of the first aspect, determining the start optimization instruction corresponding to the category of the user terminal according to the average start duration corresponding to the category of the user terminal includes:
determining a time length grade corresponding to the average starting time length according to the average starting time length corresponding to the classified user terminals;
and determining the starting optimization instruction corresponding to the duration grade as the starting optimization instruction corresponding to the user terminal of the category.
In some implementations of the first aspect, the method further comprises:
receiving a program version of an application program to be optimized, which is installed by a user terminal and is sent by the user terminal;
clustering the user terminals according to the equipment information of the user terminals, comprising:
and determining the user terminals with the same equipment information and program version as one type.
In some implementations of the first aspect, the method further comprises:
and under the condition that the new user terminal is classified, sending a starting optimization instruction to the new user terminal so that the new user terminal performs starting optimization on the application program to be optimized installed on the new user terminal according to the starting optimization instruction.
In some implementations of the first aspect, the starting duration of the application to be optimized is determined by a dotting manner of a user terminal where the application to be optimized is installed.
In a second aspect, an embodiment of the present disclosure provides an apparatus for optimizing starting of an application, where the apparatus includes:
the receiving module is used for receiving the equipment information of the user terminal and the starting time of the application program to be optimized, which are sent by the user terminal for installing the application program to be optimized;
the clustering module is used for clustering the user terminals according to the equipment information of the user terminals;
the determining module is used for determining a starting optimization instruction corresponding to the user terminals of the same category according to the starting duration corresponding to the user terminals of the same category;
and the sending module is used for sending an optimization starting instruction to the user terminals of the category so that the user terminals of the category execute optimization starting on the application program to be optimized according to the optimization starting instruction.
In a third aspect, an embodiment of the present disclosure provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method as described above.
In a fourth aspect, the disclosed embodiments provide a non-transitory computer readable storage medium having stored thereon computer instructions for causing a computer to perform the method as described above.
In a fifth aspect, the disclosed embodiments provide a computer program product comprising a computer program that, when executed by a processor, implements a method as described above.
According to the method and the device, the user terminals can be clustered according to the equipment information of the user terminals, the starting optimization instructions corresponding to the user terminals in the same category are determined according to the starting duration of the application programs to be optimized of the user terminals in the same category, and then the starting optimization instructions are sent to the user terminals in the same category, so that the user terminals in the same category can uniformly start and optimize the application programs to be optimized according to the starting optimization instructions, and the optimization efficiency is improved.
It should be understood that the statements herein reciting aspects are not intended to limit the critical or essential features of the embodiments of the present disclosure, nor are they intended to limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. The accompanying drawings are included to provide a further understanding of the present disclosure, and are not intended to limit the disclosure thereto, and the same or similar reference numerals will be used to indicate the same or similar elements, where:
FIG. 1 illustrates a schematic diagram of an exemplary operating environment in which embodiments of the present disclosure can be implemented;
FIG. 2 is a flowchart illustrating a method for optimizing the launching of an application according to an embodiment of the present disclosure;
FIG. 3 is a block diagram illustrating an apparatus for optimizing the launching of an application according to an embodiment of the present disclosure;
FIG. 4 sets forth a block diagram of an exemplary electronic device capable of implementing embodiments of the present disclosure.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions of the embodiments of the present disclosure will be described clearly and completely with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are some, but not all embodiments of the present disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
In order to solve the problems in the background art, embodiments of the present disclosure provide a method, an apparatus, a device, and a storage medium for optimizing starting of an application program. Specifically, the user terminals can be clustered according to the device information of the user terminals, the start optimization instructions corresponding to the user terminals of the same category are determined according to the start duration of the application programs to be optimized of the user terminals of the same category, and then the start optimization instructions are sent to the user terminals of the same category, so that the user terminals of the same category can uniformly execute start optimization on the application programs to be optimized according to the start optimization instructions, and the optimization efficiency is improved.
The following describes in detail a method, an apparatus, a device, and a storage medium for optimizing the start of an application program according to embodiments of the present disclosure with reference to the accompanying drawings.
Fig. 1 illustrates a schematic diagram of an exemplary operating environment 100 in which embodiments of the present disclosure can be implemented, as shown in fig. 1, the operating environment 100 may include a plurality of user terminals 110 and a server 120, and the user terminals 110 may be communicatively connected to the server 120 through a wired network or a wireless network.
The user terminal 110 is an electronic device installed with an application to be optimized, and may be a mobile electronic device or a non-mobile electronic device. For example, the Mobile electronic device may be a Mobile phone, a tablet Computer, a notebook Computer, a palmtop Computer, an Ultra-Mobile Personal Computer (UMPC), or the like, and the non-Mobile electronic device may be a Personal Computer (PC), a Television (TV), a car host, or the like.
It is noted that the operating system of the user terminal 110 may be an Android (Android) operating system, an IOS operating system, or other possible operating systems, and is not limited in this respect.
The server 120 is a background server corresponding to the application to be optimized, and may be a single server, a server cluster, a cloud server, or the like, which is not limited in detail herein.
As an example, the user terminal 110 may send its own device information and the start-up duration of the application to be optimized to the server 120. The server 120 may cluster the user terminals 110 according to the device information to obtain at least one category, determine a start optimization instruction corresponding to the category of user terminals according to the start duration corresponding to the same category of user terminals 110, and then send the start optimization instruction to the category of user terminals, so that the category of user terminals perform start optimization on the application program to be optimized according to the start optimization instruction, thereby improving optimization efficiency.
The method for optimizing the start of the application program according to the embodiment of the present disclosure will be described in detail below, wherein an execution subject of the method for optimizing the start of the application program may be the server 120 shown in fig. 1.
Fig. 2 shows a flowchart of a method 200 for optimizing the start of an application according to an embodiment of the present disclosure, and as shown in fig. 2, the method 200 for optimizing the start of an application may include the following steps:
s210, receiving the equipment information of the user terminal and the starting duration of the application program to be optimized, which are sent by the user terminal for installing the application program to be optimized.
The application to be optimized may be a social, music, video, educational, or other type of application. The device information may include at least one of the following options: device type, hardware configuration, operating system version, network type. The starting time length represents the time length from the time when the application program to be optimized is clicked to the time when the first piece of data (such as the main page in the application) is displayed, exemplarily, the starting time length can be determined by a user terminal installed by the application program to be optimized through a dotting mode, the recording can be completed without the assistance of a user, and the user experience is improved.
S220, clustering the user terminals according to the equipment information of the user terminals.
Specifically, user terminals with the same device information may be determined as a class, for example, devices with the same device type, hardware configuration, operating system version, and network type are used as a class.
In some embodiments, the program version of the application program to be optimized sent by the user terminal may also be received, and the user terminals with the same device information and program version may be determined as one type. Therefore, the clustering condition can be refined by introducing the influence factor of the program version, and the clustering precision is further improved.
And S230, determining a starting optimization instruction corresponding to the user terminal of the same category according to the starting duration corresponding to the user terminal of the same category.
For example, the average start-up duration corresponding to the user terminals of the category may be calculated according to the start-up durations corresponding to the user terminals of the same category, that is, the start-up durations corresponding to the user terminals of the same category are accumulated and summed to calculate the average start-up duration.
And then comparing the average starting time corresponding to the user terminals of the category with a preset time threshold, and if the average starting time corresponding to the user terminals of the category is greater than or equal to the preset time threshold, determining a starting optimization instruction corresponding to the user terminals of the category according to the average starting time corresponding to the user terminals of the category. The preset duration threshold may be flexibly set as required, and is not limited herein. Therefore, the starting condition of the user terminals in the whole category can be represented according to the average starting duration, and the unified corresponding starting optimization instruction of the user terminals in the category can be accurately determined.
As an example, the duration level corresponding to the average starting duration may be determined according to the average starting duration, and then the start optimization instruction corresponding to the duration level is determined to be the start optimization instruction corresponding to the category of the user terminal. Therefore, the corresponding starting optimization instruction can be generated based on the time length grade, and the starting optimization can be performed better in the follow-up process.
S240, sending an optimization starting instruction to the user terminals of the category, so that the user terminals of the category execute the optimization starting on the application program to be optimized according to the optimization starting instruction.
In some embodiments, the category of the user terminal may optimize a start item of the application to be optimized according to the start optimization instruction, or add device resources required for starting the application to be optimized, such as an operating memory, a CPU frequency, and the like.
According to the embodiment of the disclosure, the user terminals can be clustered according to the device information of the user terminals, the starting optimization instructions corresponding to the user terminals in the same category are determined according to the starting duration of the application programs to be optimized of the user terminals in the same category, and then the starting optimization instructions are sent to the user terminals in the same category, so that the user terminals in the same category can uniformly execute the starting optimization on the application programs to be optimized according to the starting optimization instructions, and the optimization efficiency is improved.
In some embodiments, in the case of a category-added ue, the method 200 for starting optimization may further include:
and sending a starting optimization instruction to the newly added user terminal so that the newly added user terminal performs starting optimization on the application program to be optimized installed on the newly added user terminal according to the starting optimization instruction. Therefore, the newly added user terminals can directly execute the starting optimization without participating in the determination of the starting optimization instruction, and the starting optimization efficiency of the application program to be optimized is further improved.
It is noted that while for simplicity of explanation, the foregoing method embodiments have been described as a series of acts or combination of acts, it will be appreciated by those skilled in the art that the present disclosure is not limited by the order of acts, as some steps may, in accordance with the present disclosure, occur in other orders and concurrently. Further, those skilled in the art should also appreciate that the embodiments described in the specification are exemplary embodiments and that acts and modules referred to are not necessarily required by the disclosure.
The above is a description of embodiments of the method, and the embodiments of the apparatus are further described below.
Fig. 3 is a block diagram illustrating an apparatus 300 for optimizing the start of an application according to an embodiment of the present disclosure, and as shown in fig. 3, the apparatus 300 for optimizing the start of an application may include:
the receiving module 310 is configured to receive device information of the user terminal and a start duration of the application to be optimized, where the device information is sent by the user terminal that installs the application to be optimized.
The clustering module 320 is configured to cluster the user terminals according to the device information of the user terminals.
The determining module 330 is configured to determine a start optimization instruction corresponding to the user terminals of the same category according to the start duration corresponding to the user terminals of the same category.
The sending module 340 is configured to send a start optimization instruction to the class of user terminals, so that the class of user terminals performs start optimization on the application to be optimized according to the start optimization instruction.
In some embodiments, the device information includes at least one of the following options: device type, hardware configuration, operating system version, network type.
In some embodiments, the determining module 330 is specifically configured to:
and calculating the average starting time length corresponding to the user terminals of the same type according to the starting time length corresponding to the user terminals of the same type.
And if the average starting time length corresponding to the user terminals of the category is greater than or equal to the preset time length threshold, determining a starting optimization instruction corresponding to the user terminals of the category according to the average starting time length corresponding to the user terminals of the category.
In some embodiments, the determining module 330 is specifically configured to:
and determining the time length grade corresponding to the average starting time length according to the average starting time length corresponding to the classified user terminals.
And determining the starting optimization instruction corresponding to the duration grade as the starting optimization instruction corresponding to the user terminal of the category.
In some embodiments, the receiving module 310 is further configured to receive a program version of the application to be optimized, sent by the user terminal;
the clustering module 320 is specifically configured to: and determining the user terminals with the same equipment information and program version as one type.
In some embodiments, the sending module 340 is further configured to send, in the case that the new user terminal is classified, a start optimization instruction to the new user terminal, so that the new user terminal performs start optimization on the application to be optimized installed in the new user terminal according to the start optimization instruction.
In some embodiments, the starting time duration of the application to be optimized is determined by a dotting mode of a user terminal installed with the application to be optimized.
It can be understood that each module/unit in the start optimization device 300 of the application program shown in fig. 3 has a function of implementing each step in the start optimization method 200 of the application program provided in the embodiment of the present disclosure, and can achieve the corresponding technical effect, and for brevity, no further description is provided herein.
FIG. 4 illustrates a block diagram of an electronic device 400 that may be used to implement embodiments of the present disclosure. Electronic device 400 is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device 400 may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 4, the electronic device 400 may include a computing unit 401 that may perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM)402 or a computer program loaded from a storage unit 408 into a Random Access Memory (RAM) 403. In the RAM403, various programs and data required for the operation of the electronic device 400 can also be stored. The computing unit 401, ROM402, and RAM403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
A number of components in the electronic device 400 are connected to the I/O interface 405, including: an input unit 406 such as a keyboard, a mouse, or the like; an output unit 407 such as various types of displays, speakers, and the like; a storage unit 408 such as a magnetic disk, optical disk, or the like; and a communication unit 409 such as a network card, modem, wireless communication transceiver, etc. The communication unit 409 allows the electronic device 400 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
Computing unit 401 may be a variety of general and/or special purpose processing components with processing and computing capabilities. Some examples of the computing unit 401 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The computing unit 401 performs the various methods and processes described above, such as the method 200. For example, in some embodiments, the method 200 may be implemented as a computer program product, including a computer program, tangibly embodied in a computer-readable medium, such as the storage unit 408. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 400 via the ROM402 and/or the communication unit 409. When the computer program is loaded into RAM403 and executed by computing unit 401, one or more steps of method 200 described above may be performed. Alternatively, in other embodiments, the computing unit 401 may be configured to perform the method 200 by any other suitable means (e.g., by means of firmware).
The various embodiments described herein above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a computer-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a computer-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
It should be noted that the present disclosure also provides a non-transitory computer readable storage medium storing computer instructions, where the computer instructions are used to enable a computer to execute the method 200 and achieve the corresponding technical effects achieved by the method according to the embodiments of the present disclosure, and for brevity, the detailed description is omitted here.
Additionally, the present disclosure also provides a computer program product comprising a computer program which, when executed by a processor, implements the method 200.
To provide for interaction with a user, the above-described embodiments may be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The embodiments described above may be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user may interact with an implementation of the systems and techniques described herein), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server with a combined blockchain.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, and the present disclosure is not limited herein.
The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.

Claims (10)

1. A method for optimizing the start-up of an application program comprises the following steps:
receiving equipment information of a user terminal and starting duration of an application program to be optimized, wherein the equipment information is sent by the user terminal for installing the application program to be optimized;
clustering the user terminals according to the equipment information of the user terminals;
determining a starting optimization instruction corresponding to the user terminals of the same category according to the starting duration corresponding to the user terminals of the same category;
and sending the starting optimization instruction to the user terminals of the category so that the user terminals of the category can execute starting optimization on the application program to be optimized according to the starting optimization instruction.
2. The method of claim 1, wherein the device information comprises at least one of: device type, hardware configuration, operating system version, network type.
3. The method according to claim 1, wherein the determining, according to the starting durations corresponding to the user terminals of the same category, the starting optimization instruction corresponding to the user terminal of the category includes:
calculating the average starting duration corresponding to the user terminals of the same category according to the starting durations corresponding to the user terminals of the same category;
and if the average starting time length corresponding to the user terminals of the category is greater than or equal to a preset time length threshold, determining a starting optimization instruction corresponding to the user terminals of the category according to the average starting time length corresponding to the user terminals of the category.
4. The method according to claim 3, wherein the determining, according to the average start-up duration corresponding to the category of the user terminals, the start-up optimization instruction corresponding to the category of the user terminals includes:
determining a time length grade corresponding to the average starting time length according to the average starting time length corresponding to the user terminals of the category;
and determining the starting optimization instruction corresponding to the duration grade as the starting optimization instruction corresponding to the user terminal of the category.
5. The method of any of claims 1-4, further comprising:
receiving the program version of the application program to be optimized, which is sent by the user terminal;
the clustering the user terminal according to the device information of the user terminal includes:
and determining the user terminals with the same equipment information and program version as one type.
6. The method of any of claims 1-4, further comprising:
and under the condition that the new user terminal is added in the category, sending the starting optimization instruction to the new user terminal so that the new user terminal can execute starting optimization on the application program to be optimized installed on the new user terminal according to the starting optimization instruction.
7. The method according to any one of claims 1 to 4, wherein the starting time duration of the application to be optimized is determined by a dotting mode of a user terminal installed by the application to be optimized.
8. An apparatus for optimizing launching of an application, comprising:
the system comprises a receiving module, a judging module and a processing module, wherein the receiving module is used for receiving equipment information of a user terminal and starting time of an application program to be optimized, which are sent by the user terminal for installing the application program to be optimized;
the clustering module is used for clustering the user terminal according to the equipment information of the user terminal;
the determining module is used for determining a starting optimization instruction corresponding to the user terminals of the same category according to the starting duration corresponding to the user terminals of the same category;
and the sending module is used for sending the starting optimization instruction to the user terminals of the category so that the user terminals of the category can execute starting optimization on the application program to be optimized according to the starting optimization instruction.
9. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.
10. A non-transitory computer readable storage medium having stored thereon computer instructions for causing a computer to perform the method of any one of claims 1-7.
CN202111296131.5A 2021-11-03 2021-11-03 Application program starting optimization method, device, equipment and storage medium Pending CN114138358A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111296131.5A CN114138358A (en) 2021-11-03 2021-11-03 Application program starting optimization method, device, equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111296131.5A CN114138358A (en) 2021-11-03 2021-11-03 Application program starting optimization method, device, equipment and storage medium

Publications (1)

Publication Number Publication Date
CN114138358A true CN114138358A (en) 2022-03-04

Family

ID=80392922

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111296131.5A Pending CN114138358A (en) 2021-11-03 2021-11-03 Application program starting optimization method, device, equipment and storage medium

Country Status (1)

Country Link
CN (1) CN114138358A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115454989A (en) * 2022-09-29 2022-12-09 深圳市手心游戏科技有限公司 Data processing method and device for application program data

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115454989A (en) * 2022-09-29 2022-12-09 深圳市手心游戏科技有限公司 Data processing method and device for application program data
CN115454989B (en) * 2022-09-29 2023-12-08 深圳市手心游戏科技有限公司 Data processing method and device for application program data

Similar Documents

Publication Publication Date Title
CN113808231B (en) Information processing method and device, image rendering method and device, and electronic device
CN112506581A (en) Method and device for rendering small program, electronic equipment and readable storage medium
CN114138358A (en) Application program starting optimization method, device, equipment and storage medium
CN113590447B (en) Buried point processing method and device
CN115408034A (en) Vehicle-mounted controller upgrading method and device, electronic equipment and storage medium
CN112887426B (en) Information stream pushing method and device, electronic equipment and storage medium
CN114386577A (en) Method, apparatus, and storage medium for executing deep learning model
CN114389969A (en) Client test method and device, electronic equipment and storage medium
CN113795039A (en) Operator network switching method, device, equipment and computer readable storage medium
CN114374703A (en) Method, device and equipment for acquiring cloud mobile phone information and storage medium
CN114021642A (en) Data processing method and device, electronic equipment and storage medium
CN114139605A (en) Distributed model training method, system, device and storage medium
CN113961797A (en) Resource recommendation method and device, electronic equipment and readable storage medium
CN112632384A (en) Data processing method and device for application program, electronic equipment and medium
CN114138397A (en) Page display method and device, electronic equipment and storage medium
CN113535020A (en) Method, apparatus, device, medium and product for generating application icons
CN112966201A (en) Object processing method, device, electronic equipment and storage medium
CN113961263B (en) Applet distribution method, device, apparatus and storage medium
CN113032040B (en) Method, apparatus, device, medium, and article for processing tasks
CN113779098A (en) Data processing method, data processing device, electronic equipment and storage medium
CN117075920A (en) Optimization method and device for application program installation package
CN115373659A (en) Business system construction method and device, electronic equipment and storage medium
CN116436883A (en) Method, device, electronic equipment and readable storage medium for link transmission
CN112988265A (en) Applet processing method, applet processing apparatus, device, medium and product
CN117407044A (en) Configuration method, device, equipment and medium of cross-terminal assembly

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
CB02 Change of applicant information

Address after: Room 1-103, Commercial Room 1, Floor 1, Building 3, No. 105, Yaojiayuan Road, Chaoyang District, Beijing 100025

Applicant after: LETV new generation (Beijing) Cultural Media Co.,Ltd.

Address before: 100025 1502, 12 / F, building 3, 105 yaojiayuan Road, Chaoyang District, Beijing

Applicant before: LETV new generation (Beijing) Cultural Media Co.,Ltd.

CB02 Change of applicant information