CN114721739A

CN114721739A - Multidimensional account grade updating method, device, equipment and medium

Info

Publication number: CN114721739A
Application number: CN202210356011.8A
Authority: CN
Inventors: 黄文娟
Original assignee: Ping An Technology Shenzhen Co Ltd
Current assignee: Ping An Technology Shenzhen Co Ltd
Priority date: 2022-04-06
Filing date: 2022-04-06
Publication date: 2022-07-08

Abstract

The invention relates to the technical field of data processing, and discloses a multidimensional account grade updating method, which comprises the following steps: acquiring an account of a target user, and inquiring account creation duration of the account before a preset first time period; acquiring behavior data and task completion of a target user in a first time period to obtain behavior parameters and efficacy parameters of an account; classifying account grades for the accounts based on account creation duration, behavior data and efficacy parameters of the accounts; inquiring the growth space of the account through the account grade; and obtaining a growth target according to the growth space and a preset target weight coefficient, acquiring behavior data and task completion of the target user in a preset second time period, and determining the account updating level of the target user by combining the growth target. The invention also provides a multidimensional account grade updating device, equipment and a storage medium. The invention can improve the completeness of the account grade updating.

Description

Multidimensional account grade updating method, device, equipment and medium

Technical Field

The invention relates to the technical field of data processing, in particular to a multidimensional account grade updating method, device, equipment and medium.

Background

With the development of communication technology and intelligent devices, more and more applications appear in the life of people, and in order to better serve users and determine identity information of users, users are required to create different accounts for different applications in many cases.

Generally, each application program sets different account levels for each account, so that users can be distinguished, and user stickiness can be increased.

Disclosure of Invention

The invention provides a multidimensional account grade updating method, device, equipment and medium, and mainly aims to improve the completeness of account grade updating.

In order to achieve the above object, the present invention provides a multidimensional account level updating method, which includes:

acquiring an account of a target user, and inquiring account creation duration of the account before a preset first time period;

acquiring the behavior data of the target user in the first time period to obtain the behavior parameters of the account;

acquiring the task completion degree of the target user in the first time period to obtain the efficacy parameters of the account;

classifying account grades for the accounts based on account creation duration, behavior data and efficacy parameters of the accounts;

inquiring the growth space of the account from the next level according to the account level;

obtaining a growth target according to the growth space of the account from the next level and a preset target weight coefficient;

and acquiring the behavior data and the task completion degree of the target user in a preset second time period, and determining the account updating level of the target user according to the growth target and the behavior data and the task completion degree of the second time period.

Optionally, the querying an account creation duration of the account before the preset first time period includes:

acquiring the registration time of the account from the registration application program of the account;

and calculating the account creation time length according to the account registration time.

Optionally, the acquiring the behavior data of the target user in the first time period includes:

acquiring a history record of the target user in the registered application program, and intercepting the history record of the first time period from the history record to obtain an intercepted history record;

and analyzing the operation behavior of the target user based on the interception historical record to obtain behavior data.

Optionally, the obtaining the task completion of the target user in the first time period includes:

acquiring an interception history record of the target user in the registered application program in a first time period;

and acquiring a preset task schedule, and analyzing the completion condition of each task in the task calculation table from the intercepting history record to obtain the task completion degree of the target user.

Optionally, the querying the growth space of the account from the next level through the account level includes:

acquiring an account level node of the account according to the account level, and executing an adding operation on the account level node to obtain the next account level of the account;

and subtracting the account grade from the next account grade to obtain a growth space of the account from the next grade.

Optionally, the determining an account update level of the target user according to the growth target and the behavior data and the task completion degree of the second time period includes:

respectively multiplying the behavior data and the task completion degree of the second time period by preset weight coefficients and summing to obtain a growth progress;

judging the growth progress and the size of the growth target;

if the growth progress is larger than or equal to the growth target, adding one to the account level node to obtain the account updating level;

and if the growth progress is smaller than the growth target, taking the current account level node as the account updating level.

Optionally, the classifying the account into the account grades based on the account creation time length, the behavior data and the efficacy parameter of the account includes:

calculating the account rating using the following method:

G＝αx+βy+γz

wherein x, y and z are the account creation time length, the behavior data and the efficacy parameter respectively, α, β and γ are the weighting coefficients of the account creation time length, the behavior data and the efficacy parameter respectively, and G is the account grade of the account.

In order to solve the above problem, the present invention further provides a multidimensional account level updating apparatus, including:

the parameter acquisition module is used for acquiring an account of a target user, inquiring account creation time of the account before a preset first time period, acquiring behavior data of the target user in the first time period to obtain behavior parameters of the account, acquiring task completion degree of the target user in the first time period to obtain efficacy parameters of the account;

the grade dividing module is used for dividing the account grade for the account based on the account creating time length, the behavior data and the efficacy parameter of the account;

the target determining module is used for inquiring the growth space of the account from the next level according to the account level and obtaining a growth target according to the growth space of the account from the next level and a preset target weight coefficient;

and the level updating module is used for acquiring the behavior data and the task completion degree of the target user in a preset second time period and determining the account updating level of the target user according to the growth target and the behavior data and the task completion degree of the second time period.

In order to solve the above problem, the present invention also provides an electronic device, including:

at least one processor; and (c) a second step of,

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform a multi-dimensional account level updating method as described above.

In order to solve the above problem, the present invention further provides a computer-readable storage medium including a storage data area and a storage program area, the storage data area storing created data, the storage program area storing a computer program; wherein the computer program when executed by a processor implements a multi-dimensional account level updating method as described above.

In the embodiment of the invention, an account of a target user is obtained, and account creating time before a preset first time period of the account is inquired; acquiring behavior data of a target user in a first time period to obtain behavior parameters of an account; acquiring task completion degree of a target user in a first time period to obtain an account efficacy parameter; dividing account grades for the accounts based on account creation duration, behavior data and efficacy parameters of the accounts to realize primary division of the account grades of the target users; inquiring a growth space from the account to the next level through the account level; and obtaining a growth target according to the growth space of the account at the next level and a preset target weight coefficient, obtaining the behavior data and the task completion degree of the target user in a preset second time period, and determining the account updating level of the target user according to the growth target and the behavior data and the task completion degree of the second time period. Therefore, the account level of the user is determined according to the multiple dimensions of the account creating duration, the behavior parameters and the efficacy parameters, and then the account level is updated according to the behavior parameters and the efficacy parameters so as to update the account level from multiple dimensions.

Drawings

Fig. 1 is a schematic flowchart of a multidimensional account level updating method according to an embodiment of the present invention;

FIG. 2 is a detailed flowchart illustrating a step of a multidimensional account level updating method according to an embodiment of the present invention;

FIG. 3 is a detailed flowchart illustrating a step of a multidimensional account level updating method according to an embodiment of the present invention;

FIG. 4 is a detailed flowchart illustrating a step of a multidimensional account level updating method according to an embodiment of the present invention;

FIG. 5 is a detailed flowchart illustrating a step of a multidimensional account level updating method according to an embodiment of the present invention;

FIG. 6 is a detailed flowchart illustrating a step of a multidimensional account level updating method according to an embodiment of the present invention;

FIG. 7 is a block diagram of a multidimensional account level updating apparatus according to an embodiment of the present invention;

fig. 8 is a schematic internal structural diagram of an electronic device implementing a multidimensional account level updating method according to an embodiment of the present invention.

The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.

Detailed Description

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

The embodiment of the application provides a multidimensional account grade updating method. The executing subject of the multidimensional account level updating method includes, but is not limited to, at least one of electronic devices such as a server and a terminal, which can be configured to execute the method provided by the embodiment of the present application. The server may be an independent server, or may be a cloud server that provides basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a Network service, cloud communication, a middleware service, a domain name service, a security service, a Content Delivery Network (CDN), a big data and artificial intelligence platform, and the like. In other words, the multidimensional account level updating method may be performed by software or hardware installed in a terminal device or a server device, and the software may be a block chain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.

Fig. 1 is a schematic flow chart of a multidimensional account level updating method according to an embodiment of the present invention. In this embodiment, the multidimensional account level updating method includes the following steps S1-S7:

s1, obtaining the account of the target user, and inquiring the account creating time length of the account before the preset first time period.

In the embodiment of the present invention, the target user may be a registered user under a certain application, the account may be a registered account of the target user under the application, and in this scheme, the account grade divided by the account needs to be updated.

Referring to fig. 2, in the embodiment of the present invention, the querying an account creation time length of the account before the preset first time period includes steps S1011 and S1012:

s1011, acquiring the registration time of the account from the registration application program of the account;

and S1012, calculating the account creation time length according to the account registration time.

In the embodiment of the present invention, the account creation time length is used to record the time length for registering an account by the target user in the registration application, and the account creation time length may be used as an important reference index for classifying the account.

In the embodiment of the present invention, the registration application changes the activity of the target user, for example, if the target user is a user participating in online shopping, the registration application is a certain online shopping application.

And S2, acquiring the behavior data of the target user in the first time period to obtain the behavior parameters of the account.

In the embodiment of the present invention, the behavior data records various behavior activities performed by the target user in the registered application program, and is an important index for evaluating the activity of the target user.

In the embodiment of the present invention, the behavior parameters are obtained from the behavior data, and are parameters for assisting the target user in classifying the account level by using the data on the user behavior.

Referring to fig. 3, further, the acquiring behavior data of the target user in the first time period includes steps S2011 and S2012:

s2011, acquiring a history record of the target user in the registered application program, and intercepting the history record of the first time period from the history record to obtain an intercepted history record;

s2012, analyzing the operation behavior of the target user based on the intercepting history record to obtain behavior data.

In the embodiment of the present invention, the operation behavior may be preset, that is, data obtained when the target user performs what operation behavior may be counted as the behavior data, and data obtained when the target user performs what operation behavior may not be counted as the behavior data, for example, login data obtained by an operation of logging in a registered application program by the user is not counted as behavior data, and browsing data obtained by an operation of browsing information in the registered application program by the user is counted as behavior data.

In the embodiment of the present invention, the specific category of the behavior data is determined according to the actual category of the registered application program logged in by the target user, for example, when the application software logged in by the target user is online instant shopping software, the behavior data of the user may be the number of commodities browsed by the target user, the online browsing time of the target user, the number of times of querying commodities by the target user, and the like, and when the application software logged in by the target user is online classroom learning software, the behavior data of the user may be the number of times of searching courses by the target user, the online class time of the target user, the number of courses declared by the target user, and the like.

In the embodiment of the present invention, the behavior data of the target user as the behavior parameter of the account is also changed according to the difference of the registered application programs, for example, when the registered application program is online classroom learning software, if the behavior data of the user is 6, the obtained behavior parameter may be 2, and when the registered application program is online instant shopping software, if the behavior data of the user is 6, the obtained behavior parameter may be 4.

And S3, acquiring the task completion degree of the target user in the first time period, and acquiring the efficacy parameters of the account.

In the embodiment of the present invention, the task completion is used to record the completion status of each task of the target user in the registration application, where the tasks are all tasks that are beneficial to determining the account level.

In an embodiment of the present invention, the efficacy parameter is a parameter that helps the target user determine the account rating in the aspect of user growth.

Referring to fig. 4, further, the acquiring the task completion of the target user in the first time period includes steps S3011 and S3012:

s3011, obtaining an interception history record of the target user in the registered application program in a first time period;

s3012, obtaining a preset task schedule, and analyzing the completion condition of each task in the task calculation table from the intercepting history record to obtain the task completion degree of the target user.

In the embodiment of the present invention, the specific category of the task completion degree is also determined according to the actual category of the registered application program logged in by the target user, that is, different registered application programs have different task schedules, for example, in online instant shopping software, when a certain time length for browsing a commodity is reached, a certain task of the task schedule can be completed, and in online classroom learning software, when a certain time length for browsing a course is reached, a certain task of the task schedule cannot be completed.

And S4, classifying the account grade for the account based on the account creating time length, the behavior data and the efficacy parameter of the account.

In the embodiment of the invention, the account grade of the account can be determined from multiple angles by dividing the account grade for the account according to the account creating duration, the behavior data and the efficacy parameter, so that the condition of grade mismatching caused by determining the account grade by a single element is avoided.

Further, the account creation time length, the behavior data and the efficacy parameter may have different weights, so as to differentiate the account creation time length, the behavior data and the efficacy parameter.

In the embodiment of the present invention, the classification of the account level for the account based on the account creation duration, the behavior data, and the efficacy parameter of the account may be implemented by the following mathematical formula:

G＝αx+βy+γz

And S5, inquiring the growth space of the account from the next level through the account level.

In the embodiment of the present invention, the growth space represents a progress distance from the current level of the account to the next level, and may be obtained by generally subtracting the current account level from the current account level node after adding one to the current account level node.

Referring to fig. 5, in the embodiment of the present invention, the querying the growth space of the account from the next level according to the account level includes steps S5011 and S5012:

s5011, acquiring an account level node of the account according to the account level, and executing an adding operation on the account level node to obtain the next account level of the account;

s5012, subtracting the account grade from the next account grade to obtain a growth space of the account from the next grade.

In the embodiment of the present invention, the account level node is an integer part of the account level, for example, if the account level of the current account is 5.6, the account level node is 5, a next account level is 6 by adding one to the account level node, the account level is subtracted from the next account level 6 by 5.6, and a growth space between the obtained account and the next level is 0.4.

And S6, obtaining a growth target according to the growth space of the account from the next level and a preset target weight coefficient.

In the embodiment of the invention, the weight coefficient is selected according to the growth space of the account from the next level, generally, the multiplied value of the growth space from the next level to the preset growth threshold is smaller than the target weight coefficient of the preset coefficient threshold, and the multiplied value of the growth space from the next level to the preset growth threshold is smaller than the target weight coefficient of the preset coefficient threshold.

For example, the weight coefficient may be 0.5 when the growth space is 0.8, and the weight coefficient may be 2 when the growth space is 0.2.

S7, acquiring the behavior data and the task completion degree of the target user in a preset second time period, and determining the account updating level of the target user according to the growth target and the behavior data and the task completion degree of the second time period.

Referring to fig. 6, in the embodiment of the present invention, the determining the account update level of the target user according to the growth target, the behavior data of the second time period, and the task completion degree includes steps S7011 and S7014:

s7011, multiplying the behavior data and the task completion degree of the second time period by preset weight coefficients respectively and summing to obtain a growth progress;

s7012, judging whether the growth progress is larger than or equal to the growth target;

s7013, if the growth progress is larger than or equal to the growth target, adding one to the account level node to obtain the account updating level;

and S7014, if the growth progress is smaller than the growth target, taking the current account level node as the account updating level.

In the embodiment of the invention, the account of the target user is obtained, and the account creating time before the preset first time period of the account is inquired; acquiring behavior data of a target user in a first time period to obtain behavior parameters of an account; acquiring task completion degree of a target user in a first time period to obtain an account efficacy parameter; dividing account grades for the accounts based on account creation duration, behavior data and efficacy parameters of the accounts to realize primary division of the account grades of the target users; inquiring a growth space from the account to the next level through the account level; and obtaining a growth target according to the growth space of the account at the next level and a preset target weight coefficient, obtaining the behavior data and the task completion degree of the target user in a preset second time period, and determining the account updating level of the target user according to the growth target and the behavior data and the task completion degree of the second time period. Therefore, the account level of the user is determined according to the multiple dimensions of the account creating duration, the behavior parameters and the efficacy parameters, and then the account level is updated according to the behavior parameters and the efficacy parameters so as to update the account level from multiple dimensions.

Fig. 7 is a schematic block diagram of a multidimensional account level updating apparatus according to the present invention.

The multidimensional account level updating device 100 can be installed in electronic equipment. According to the realized functions, the multidimensional account grade updating device can comprise a parameter obtaining module 101, a grade dividing module 102, a target determining module 103 and a grade updating module 104. The module of the present invention, which may also be referred to as a unit, refers to a series of computer program segments that can be executed by a processor of an electronic device and that can perform a fixed function, and that are stored in a memory of the electronic device.

In the present embodiment, the functions of the respective modules/units are as follows:

the parameter obtaining module 101 is configured to obtain an account of a target user, query an account creation duration of the account before a preset first time period, obtain behavior data of the target user in the first time period, obtain a behavior parameter of the account, obtain a task completion degree of the target user in the first time period, and obtain an efficacy parameter of the account;

the grading module 102 is configured to grade the account for the account based on the account creation duration, the behavior data, and the efficacy parameter of the account;

the target determining module 103 is configured to query a growth space of the account from a next level according to the account level, and obtain a growth target according to the growth space of the account from the next level and a preset target weight coefficient;

and the level updating module 104 is configured to acquire the behavior data and the task completion of the target user in a preset second time period, and determine an account updating level of the target user according to the growth target and the behavior data and the task completion of the second time period.

In detail, in the embodiment of the present invention, when the modules in the multidimensional account level updating apparatus 100 are used, the same technical means as the multidimensional account level updating method described in fig. 1 to 6 are adopted, and the same technical effects can be produced, which is not described herein again.

Fig. 8 is a schematic structural diagram of an electronic device implementing a multidimensional account level updating method according to the present invention.

The electronic device may include a processor 10, a memory 11, a communication bus 12, and a communication interface 13, and may further include a computer program, such as a multidimensional account level update program, stored in the memory 11 and executable on the processor 10.

In some embodiments, the processor 10 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same function or different functions, and includes one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects various components of the electronic device by using various interfaces and lines, and executes various functions and processes data of the electronic device by running or executing programs or modules stored in the memory 11 (for example, executing a multidimensional account level update program and the like) and calling data stored in the memory 11.

The memory 11 includes at least one type of readable storage medium including flash memory, removable hard disks, multimedia cards, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disks, optical disks, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device, for example a removable hard disk of the electronic device. The memory 11 may also be an external storage device of the electronic device in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the electronic device. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device. The memory 11 may be used not only to store application software installed in the electronic device and various types of data, such as codes of a multidimensional account level updating program, but also to temporarily store data that has been output or is to be output.

The communication bus 12 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is arranged to enable connection communication between the memory 11 and at least one processor 10 or the like.

The communication interface 13 is used for communication between the electronic device and other devices, and includes a network interface and a user interface. Optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), which are typically used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a Display (Display), an input unit such as a Keyboard (Keyboard), and optionally a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable, among other things, for displaying information processed in the electronic device and for displaying a visualized user interface.

Fig. 8 shows only an electronic device having components, and those skilled in the art will appreciate that the structure shown in fig. 8 does not constitute a limitation of the electronic device, and may include fewer or more components than those shown, or some components may be combined, or a different arrangement of components.

For example, although not shown, the electronic device may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor 10 through a power management device, so that functions of charge management, discharge management, power consumption management and the like are realized through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.

It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.

The multidimensional account level updating program stored in the memory 11 of the electronic device is a combination of a plurality of computer programs, and when running in the processor 10, can realize:

and acquiring behavior data and task completion of the target user in a preset second time period, and according to the growth target and the place.

Specifically, the processor 10 may refer to the description of the relevant steps in the embodiment corresponding to fig. 1 for a specific implementation method of the computer program, which is not described herein again.

Further, the electronic device integrated module/unit, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in a non-volatile computer-readable storage medium. The computer readable storage medium may be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying said computer program code, a recording medium, a usb-disk, a removable hard disk, a magnetic diskette, an optical disk, a computer Memory, a Read-Only Memory (ROM).

The present invention also provides a computer-readable storage medium, storing a computer program which, when executed by a processor of an electronic device, may implement:

In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.

The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.

In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.

It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.

The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.

The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.

The embodiment of the application can acquire and process related data based on an artificial intelligence technology. Among them, Artificial Intelligence (AI) is a theory, method, technique and application system that simulates, extends and expands human Intelligence using a digital computer or a machine controlled by a digital computer, senses the environment, acquires knowledge and uses the knowledge to obtain the best result.

Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms second, etc. are used to denote names, but not to denote any particular order.

Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A multidimensional account level updating method, the method comprising:

2. The multidimensional account level updating method according to claim 1, wherein the inquiring of the account creation time length of the account before the preset first time period comprises:

and calculating the account creating time length according to the account registration time.

3. The multidimensional account level updating method of claim 2, wherein the obtaining of the behavior data of the target user over the first time period comprises:

4. The multidimensional account level updating method of claim 2, wherein the obtaining task completion of the target user over the first time period comprises:

5. The multidimensional account level updating method according to claim 1, wherein the querying the growth space of the account from the next level through the account level comprises:

6. The multidimensional account level updating method of claim 1, wherein determining the account update level of the target user according to the growth target and the behavior data and the task completion degree of the second time period comprises:

judging the growth progress and the size of the growth target;

7. The multidimensional account rating updating method of any one of claims 1 to 6, wherein the ranking accounts based on account creation duration, behavioral data, and efficacy parameters of the accounts comprises:

calculating the account rating using the following method:

G＝αx+βy+γz

8. A multidimensional account level update apparatus, the apparatus comprising:

the grade dividing module is used for dividing the account grade for the account based on the account creating time length, the behavior data and the efficacy parameters of the account;

9. An electronic device, characterized in that the electronic device comprises:

at least one processor; and the number of the first and second groups,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the multidimensional account level updating method of any one of claims 1 to 7.

10. A computer-readable storage medium comprising a storage data area storing created data and a storage program area storing a computer program; wherein the computer program when executed by a processor implements the multidimensional account level updating method of any of claims 1 to 7.