CN116823199A - User data processing method, device, equipment and readable storage medium - Google Patents
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Abstract
The application provides a user data processing method, a device, equipment and a readable storage medium, which can be used in the technical field of big data. The method comprises the following steps: acquiring a data processing request; acquiring a plurality of first user information of a plurality of first users according to the data processing request; determining a plurality of user indexes of a plurality of first users according to the current strategy information and a plurality of preset indexes; for each user index, determining at least one user parameter corresponding to the user index in the plurality of first user information, and determining an index processing result of the user index according to the at least one user parameter; according to the index processing result of each user index, determining the visualization processing results of a plurality of first users; and sending the visualization processing result to preset equipment or displaying the visualization processing result. The method of the application improves the accuracy of user data processing.
Description
Technical Field
The present application relates to the field of big data technologies, and in particular, to a method, an apparatus, a device, and a readable storage medium for processing user data.
Background
The personnel of each department of the enterprise can be reasonably allocated through resource management, the potential of the personnel is explored, and the production and operation efficiency of the enterprise can be improved.
In the prior art, staff for resource management can acquire personnel information (i.e., user information) of all departments of an enterprise where the staff is located, process the user information through terminal equipment, and analyze the processed data to obtain a processing result.
In the process, the staff processes and analyzes the user information, and when the data volume of the user information is large, the error rate of data processing is large due to manual processing, so that the accuracy of the user data processing is poor.
Disclosure of Invention
The application provides a user data processing method, a device, equipment and a readable storage medium, which are used for solving the problem of poor accuracy of user data processing.
In a first aspect, the present application provides a user data processing method, including:
acquiring a data processing request, wherein the data processing request is used for requesting to process user information of a plurality of first users;
acquiring a plurality of first user information of the plurality of first users according to the data processing request, wherein the first user information comprises a plurality of user parameters of the first users;
determining a plurality of user indexes of the plurality of first users according to the current strategy information and a plurality of preset indexes;
for each user index, determining at least one user parameter corresponding to the user index in the plurality of first user information, and determining an index processing result of the user index according to the at least one user parameter;
according to the index processing result of each user index, determining the visualization processing results of the plurality of first users;
and sending the visualization processing result to preset equipment or displaying the visualization processing result.
In a second aspect, the present application provides a user data processing apparatus, including a first acquisition module, a second acquisition module, a first determination module, a second determination module, a third determination module, a fourth determination module, and a sending module:
the first acquisition module is used for acquiring a data processing request, wherein the data processing request is used for requesting to process user information of a plurality of first users;
the second acquisition module is used for acquiring a plurality of pieces of first user information of the plurality of first users according to the data processing request, wherein the first user information comprises a plurality of user parameters of the first users;
the first determining module is used for determining a plurality of user indexes of the plurality of first users according to the current strategy information and a plurality of preset indexes;
the second determining module is used for determining at least one user parameter corresponding to the user index in the plurality of first user information aiming at each user index,
the third determining module is used for determining an index processing result of the user index according to the at least one user parameter;
the fourth determining module is used for determining the visual processing results of the plurality of first users according to the index processing results of each user index;
the sending module is used for sending the visualization processing result to preset equipment or displaying the visualization processing result.
In a third aspect, an embodiment of the present application provides a terminal device, including: a memory and a processor, wherein the memory is configured to store,
the memory stores computer-executable instructions;
the processor executing computer-executable instructions stored in the memory, causing the processor to perform the user data processing method of any one of the first aspects.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium having stored therein computer-executable instructions for performing the user data processing method of any one of the first aspects when the computer-executable instructions are executed by a processor.
After a data processing request is acquired, the user data processing method, device and equipment and the readable storage medium can acquire a plurality of first user information, determine a plurality of user indexes of a plurality of first users according to the current strategy information and a plurality of preset indexes, determine at least one user parameter corresponding to the user index in the plurality of first user information according to each user index, determine an index processing result of the user index, determine a visual processing result of the plurality of first users according to the index processing result of each user index, and send the visual processing result to the preset equipment or display the visual processing result. User parameters can be obtained according to the data processing request, and index processing results are determined according to the user indexes and the user parameters, so that the accuracy of user data processing is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
Fig. 1 is a schematic diagram of an application scenario provided in an embodiment of the present application;
fig. 2 is a flow chart of a user data processing method according to an embodiment of the present application;
FIG. 3 is a flowchart illustrating another method for processing user data according to an embodiment of the present application;
fig. 4 is a schematic flow chart of determining first user information according to an embodiment of the present application;
FIG. 5 is a schematic diagram of a user data processing structure according to an embodiment of the present application;
FIG. 6 is a schematic diagram of a user data processing apparatus according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a terminal device according to an embodiment of the present application.
Specific embodiments of the present application have been shown by way of the above drawings and will be described in more detail below. The drawings and the written description are not intended to limit the scope of the inventive concepts in any way, but rather to illustrate the inventive concepts to those skilled in the art by reference to the specific embodiments.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of apparatus and methods consistent with aspects of the application as detailed in the accompanying claims.
It should be noted that, the user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or fully authorized by each party, and the collection, use and processing of the related data need to comply with related laws and regulations and standards, and provide corresponding operation entries for the user to select authorization or rejection.
It should be noted that the method and apparatus for processing user data of the present application may be used in the technical field of big data, and may also be used in any field other than the technical field of big data.
Fig. 1 is a schematic diagram of an application scenario provided in an embodiment of the present application. Referring to fig. 1, a database 101 and a processing device 102 are included.
The processing device 102 may obtain a plurality of first user information in the database 101 according to the data processing request, where the first user information includes a plurality of user parameters of the first user, determine a plurality of user indexes according to the current policy information, and determine an index processing result corresponding to the plurality of user indexes according to the plurality of user indexes and the plurality of first user information. The processing device 102 may further determine a visual processing result according to the index processing result of each user index, and a resource system may be installed in the processing device 102, where the processing device 102 may display the visual processing result through the resource system, or send the visual processing result to a preset device.
In the prior art, staff of a resource management department can acquire personnel information (namely user information) of all departments of an enterprise where the staff is located, process the user information through terminal equipment, and analyze the processed data to obtain a processing result.
In the embodiment of the application, a plurality of first user information of a plurality of first users can be acquired according to the data processing request, a plurality of user indexes of the plurality of first users are determined according to the current strategy information and a plurality of preset indexes, at least one user parameter corresponding to the user index is determined in the plurality of first user information aiming at each user index, the index processing result of the user index can be determined, the visual processing result of the plurality of first users is determined according to the index processing result of each user index, the visual processing result is sent to the preset equipment, or the visual processing result is displayed.
The following describes the technical scheme of the present application and how the technical scheme of the present application solves the above technical problems in detail with specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Fig. 2 is a flow chart of a user data processing method according to an embodiment of the present application. Referring to fig. 2, the method may include:
s201, acquiring a data processing request.
The execution body of the embodiment of the application can be processing equipment or a user data processing device arranged in the processing equipment. The user data processing means may be implemented in software or in a combination of software and hardware.
A data processing request sent by the terminal device may be obtained, where the data processing request is used to request processing of user information of the plurality of first users.
The first user may be an employee of an enterprise or may be a customer of an enterprise.
S202, acquiring a plurality of first user information of a plurality of first users according to the data processing request.
A plurality of first user information for a plurality of users may be obtained in a database according to the data processing request.
The first user information may include a plurality of user parameters of the first user, where the user parameters may include a user age, a working year, job information, and learning information.
For example, assume that a plurality of first user information of a plurality of first users may be as shown in table 1.
TABLE 1
S203, determining a plurality of user indexes of a plurality of first users according to the current strategy information and a plurality of preset indexes.
Current policy information may include policy guidelines of the country, and decision directions of the enterprise.
The user index may include the user's personal benefits, age group distribution, academic distribution, functional department distribution, and salary distribution, etc.
A plurality of preset indicators may be included in the resource system prior to the retrieval of the data processing request.
Based on the current policy information, a plurality of first indicators may be determined. For example, assuming that the current policy information is to increase the minimum payroll criteria and increase the business's research student rate, it may be determined that a plurality of user metrics may be educational cultural level structure, as well as payroll distribution.
And determining a plurality of user indexes of the plurality of first users according to the plurality of first indexes and the plurality of preset indexes.
S204, determining at least one user parameter corresponding to the user index in the plurality of first user information aiming at each user index.
For example, assuming that the user index is a percentage of the family, it may be determined that the user parameter is the learning information of a plurality of first users.
For example, assume that at least one user parameter corresponding to the user index 1 may be as shown in table 2, and assume that there are 3 users, respectively, that are users 1-3, and that the user parameter corresponding to the user index 1 is determined to be the user parameter 1 and the user parameter 2.
TABLE 2
S205, determining an index processing result of the user index according to at least one user parameter.
For example, assuming that the user parameter is the academic information, the index processing result may be 80% of the family rate and 20% of the research yield.
S206, determining the visualization processing results of the plurality of first users according to the index processing results of each user index.
The visualization process results may include bar graphs, pie charts, line graphs, trend graphs, and the like.
For example, assuming that the index processing result is 30% of the large specific rate, 50% of the family rate, and 20% of the research yield, a pie chart of the educational culture horizontal structure can be determined.
S207, sending the visualization processing result to a preset device or displaying the visualization processing result.
The visualization process result may be transmitted to a preset device, and the visualization process result may be displayed on the preset device.
The preset device may include a mobile phone, a tablet computer, a desktop computer, and other terminal devices.
The processing device may also display the visualization processing results directly.
After the data processing request is acquired, the user data processing method provided by the embodiment of the application can acquire a plurality of first user information, determine a plurality of user indexes of the plurality of first users according to the current strategy information and a plurality of preset indexes, determine at least one user parameter corresponding to the user index in the plurality of first user information according to each user index, determine an index processing result of the user index, determine a visual processing result of the plurality of first users according to the index processing result of each user index, and send the visual processing result to the preset equipment or display the visual processing result. In the process, the user parameters can be obtained according to the data processing request, and the index processing result is determined according to the user index and the user parameters, so that the accuracy of user data processing is improved.
Fig. 3 is a flowchart of another user data processing method according to an embodiment of the present application. Referring to fig. 3, the method may include:
s301, acquiring a data processing request.
The execution of S301 may refer to the execution of S201, and will not be described herein.
S302, initial user information of a plurality of first users and update time of the initial user information are acquired from a database.
For example, if the user information of the plurality of first users in the database is updated at 2022, 06, 30, 09, 00, or 09, the update time of the initial user information can be determined to be 2022, 06, 30, 09.
For example, the initial user information of the plurality of first users may be as shown in table 3.
TABLE 3 Table 3
| First user | Initial user information | Update time |
| First user 1 | Initial user information 1 | Update time 1 |
| First user 2 | Initial user information 2 | Update time 2 |
| First user 3 | Initial user information 3 | Update time 3 |
And S303, updating the initial user information of the plurality of first users according to the updating time to obtain the first user information of the plurality of first users.
The execution of S303 may be referred to as the execution of the following embodiments, and will not be described herein.
S304, processing the current strategy information through a preset model to obtain a plurality of first indexes.
The method comprises the steps of obtaining a plurality of pieces of historical decision information and a plurality of first indexes corresponding to the historical decision information in a database, determining sample data according to the historical decision information and the historical first indexes, and processing the sample data through an initial model to obtain a preset model.
The initial model may include decision trees, random forests, artificial neural networks, bayesian learning, and the like.
For example, as shown in table 4, the sample data may include a plurality of samples, and for any sample, the historical decision information is used as an input of the initial model, and a plurality of first indicators corresponding to the historical decision information are used as an output of the initial model.
TABLE 4 Table 4
The current policy information may be used as input of a preset model, and the obtained output of the preset model is a plurality of first indexes.
S305, combining and de-duplication processing is carried out on the first indexes and the preset indexes to obtain recommended indexes.
For example, assuming that the first index includes a person-average benefit, an age group distribution, an academic distribution, a functional department distribution, and a salary distribution of the user, and the preset index includes an age group distribution, an academic distribution, and a functional department distribution, it may be determined that the plurality of recommended indexes are a person-average benefit, an age group distribution, an academic distribution, a functional department distribution, and a salary distribution.
S306, displaying a plurality of recommendation indexes and a selection frame corresponding to each recommendation index.
A plurality of recommended indexes and a selection box corresponding to each recommended index can be displayed through the resource system.
S307, determining a plurality of recommendation indexes selected by the user as a plurality of user indexes in response to clicking operation of the selection frame by the user.
The user can select the corresponding recommended indexes by clicking the selection box according to the requirements, and the processing equipment can obtain a plurality of user indexes.
S308, determining the parameter type corresponding to the user index.
The parameter types may include academic, age, and salary, etc.
S309, determining at least one user parameter corresponding to the user index in the plurality of first user information according to the parameter type of each user parameter in the plurality of first user information.
For any one piece of first user information, at least one user parameter can be determined in the first user information according to the parameter type corresponding to the user index.
For example, assuming that the first user information 1 includes user parameters 1-3, the parameter types corresponding to the user parameters are shown in table 4, and assuming that the parameter types corresponding to the user index are parameter type 1 and parameter type 2, it may be determined that at least one user parameter is user parameter 1 and user parameter 2.
TABLE 4 Table 4
| User parameters | Parameter type |
| User parameter 1 | Parameter type 1 |
| User parameter 2 | Parameter type 2 |
| User parameters 3 | Parameter type 3 |
For any one user index, determining at least one user parameter corresponding to the user index in the plurality of first user information may be as shown in table 2.
S310, determining an index processing result of the user index according to at least one user parameter.
The execution of S310 may refer to the execution of S205, and will not be described herein.
S311, determining a visual template corresponding to each user index.
The visualization templates may include histogram templates, pie chart templates, line chart templates, trend chart templates, and the like.
For example, assuming that the user index is an academic distribution, it may be determined that a visual template corresponding to the academic distribution is a pie chart template.
S312, aiming at any user index, generating a visual index view corresponding to the user index according to an index processing result corresponding to the user index and the visual template.
And adjusting the numerical value and the shape of the corresponding position in the visual template according to the index processing result to generate a visual index view corresponding to the user index.
For example, if the user index is an academic distribution, the index processing result is that the large specific rate is 30%, the family rate is 50%, the research yield is 20%, and the visual template is a pie chart, the pie chart may be divided into three areas, namely, areas 1 to 3, wherein area 1 occupies three tenths of the pie chart, area 2 occupies one half of the pie chart, and area 3 occupies one fifth of the pie chart, and the large specific rate is 30%, the family rate is 50%, and the research yield is 20% at the positions defined by the visual template.
S313, generating a visualization processing result according to the visualization index view corresponding to each user index.
The visualization processing result can comprise a plurality of visualization index views corresponding to the user indexes.
S314, sending the visualization processing result to preset equipment or displaying the visualization processing result.
The execution of S314 may refer to the execution of S207, and will not be described herein.
After the data processing request is acquired, the user data processing method provided by the embodiment of the application can acquire the initial user information of the plurality of first users and the update time of the initial user information in the database, and acquire the first user information of the plurality of first users after update processing. And obtaining a plurality of first indexes through a preset model, carrying out combination processing and de-duplication processing on the plurality of first indexes and the plurality of preset indexes to obtain a plurality of recommended indexes, and determining a plurality of user indexes from the plurality of recommended indexes in response to a user. Determining the parameter types corresponding to the user indexes, determining at least one user parameter corresponding to the user indexes in the plurality of first user information, obtaining an index processing result of the user indexes, and generating a visual index view corresponding to the user indexes according to the index processing result and the visual template to generate a visual processing result. In the process, the user information can be updated according to the data processing request, the index processing result is determined according to the user parameters corresponding to the user index, the index processing result is visualized, and the accuracy of user data processing is improved.
Fig. 4 is a schematic flow chart of determining first user information according to an embodiment of the present application. Referring to fig. 4, the method may include:
s401, for any one first user, acquiring a time difference between the current time and the update time.
For example, assuming that the current time is 2023, 3, 31, 09, 00 minutes, 00 seconds and the update time is 2022, 12, 31, 09, 00 minutes, 00 seconds, the time difference is 90, 00 minutes, 00 seconds.
S402, if the time difference is greater than or equal to a preset threshold value, determining the user parameters to be updated in the initial user information.
For example, assuming that the preset threshold is 60 days, assuming that the time difference is 90 days, and assuming that the first user 1 maneuvers from station 1 to station 2, i.e., the time difference is greater than the preset threshold, the job information in the initial user information may be determined as the user parameter to be updated.
Optionally, the user parameters to be updated may be displayed, or the parameters to be updated may be sent to a preset device, and after the update instruction of the staff is obtained, the next process is executed.
S403, according to the current time and the update time, updating the user parameters to be updated in the initial user information to obtain first user information, and updating the update time to the current time.
For example, assuming that the user parameter to be updated of the first user 1 is position information, the position information in the initial user information is position 1, the update time is time 1, the current time is time 2, the position information of time 2 is position 2, the position information in the initial user information is changed from position 1 to position 2, and the time 1 of the update time is updated to time 2.
S404, if the time difference is smaller than or equal to a preset threshold value, determining the initial user information as first user information.
According to the user data processing method provided by the embodiment of the application, aiming at any one first user, the time difference between the current time and the update time is obtained, if the time difference is greater than or equal to the preset threshold value, the user parameters to be updated in the initial user information are updated, so that the first user information is obtained, and the update time is updated to be the current time. And if the time difference is smaller than or equal to the preset threshold value, determining the initial user information as first user information. In the process, the first user information can be updated, the updated first user information is processed, and the accuracy of user data processing is improved.
Fig. 5 is a schematic diagram of a user data processing structure according to an embodiment of the present application. Referring to fig. 5, initial user information of a plurality of first users and update time of the initial user information are obtained in a database, the data management process may update according to the initial user information, the updated first initial user information is determined as the first user information, a plurality of first indexes may be determined through a preset model, and a plurality of user indexes are determined according to the plurality of first indexes and a plurality of preset indexes. And processing the first user information according to the plurality of user indexes to obtain a visual processing result.
Fig. 6 is a schematic structural diagram of a user data processing device according to an embodiment of the present application. Referring to fig. 6, the user data processing apparatus 10 may include a first acquisition module 11, a second acquisition module 12, a first determination module 13, a second determination module 14, a third determination module 15, a fourth determination module 16, and a transmission module 17:
the first obtaining module 11 is configured to obtain a data processing request, where the data processing request is used to request processing of user information of a plurality of first users;
the second obtaining module 12 is configured to obtain, according to the data processing request, a plurality of first user information of a plurality of first users, where the first user information includes a plurality of user parameters of the first users;
the first determining module 13 is configured to determine a plurality of user indexes of a plurality of first users according to the current policy information and a plurality of preset indexes;
the second determining module 14 is configured to determine, for each user indicator, at least one user parameter corresponding to the user indicator among the plurality of first user information,
the third determining module 15 is configured to determine an index processing result of the user index according to at least one user parameter;
the fourth determining module 16 is configured to determine a plurality of visualization processing results of the first users according to the index processing result of each user index;
the sending module 17 is configured to send the visualization processing result to a preset device, or display the visualization processing result.
In one possible implementation, the second acquisition module 12 is specifically configured to:
acquiring initial user information of a plurality of first users and updating time of the initial user information in a database;
and according to the updating time, updating the initial user information of the plurality of first users to obtain the first user information of the plurality of first users.
In one possible implementation, for any one first user; the second acquisition module 12 is specifically configured to:
acquiring a time difference between the current time and the update time;
if the time difference is greater than or equal to a preset threshold value, determining user parameters to be updated in the initial user information, updating the user parameters to be updated in the initial user information according to the current time and the updating time to obtain first user information, and updating the updating time to the current time;
and if the time difference is smaller than or equal to the preset threshold value, determining the initial user information as first user information.
In one possible embodiment, the first determining module 13 is specifically configured to:
processing the current strategy information through a preset model to obtain a plurality of first indexes;
combining and de-duplication processing is carried out on the plurality of first indexes and the plurality of preset indexes to obtain a plurality of recommended indexes;
a plurality of user metrics is determined based on the plurality of recommendation metrics.
In one possible embodiment, the first determining module 13 is specifically configured to:
displaying a plurality of recommendation indexes and a selection frame corresponding to each recommendation index;
and responding to clicking operation of the user on the selection frame, and determining a plurality of recommendation indexes selected by the user as a plurality of user indexes.
In one possible implementation, the second determining module 14 is specifically configured to:
determining a parameter type corresponding to the user index;
and determining at least one user parameter corresponding to the user index in the plurality of first user information according to the parameter type of each user parameter in the plurality of first user information.
In one possible implementation, the second determining module 14 is specifically configured to:
determining a visual template corresponding to each user index;
aiming at any user index, generating a visual index view corresponding to the user index according to an index processing result corresponding to the user index and a visual template;
and generating a visual processing result according to the visual index view corresponding to each user index.
The user data processing device provided by the embodiment of the application can execute the technical scheme shown in the embodiment of the method, and the implementation principle and the beneficial effects are similar, and are not repeated here.
Fig. 7 is a schematic structural diagram of a terminal device according to an embodiment of the present application, referring to fig. 7, the terminal device 20 may include a processor 21 and a memory 22. The processor 21, the memory 22, and the like are illustratively interconnected by a bus 23.
Memory 22 stores computer-executable instructions;
the processor 21 executes computer-executable instructions stored in the memory 22, causing the processor 21 to perform the user data processing method as shown in the method embodiments described above.
Accordingly, embodiments of the present application provide a computer-readable storage medium having stored therein computer-executable instructions for implementing the user data processing method of the above-described method embodiments when the computer-executable instructions are executed by a processor.
Accordingly, embodiments of the present application may also provide a computer program product, including a computer program, which when executed by a processor, may implement the user data processing method shown in the foregoing method embodiments.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that 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, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.
Claims (10)
1. A method of user data processing comprising:
acquiring a data processing request, wherein the data processing request is used for requesting to process user information of a plurality of first users;
acquiring a plurality of first user information of the plurality of first users according to the data processing request, wherein the first user information comprises a plurality of user parameters of the first users;
determining a plurality of user indexes of the plurality of first users according to the current strategy information and a plurality of preset indexes;
for each user index, determining at least one user parameter corresponding to the user index in the plurality of first user information, and determining an index processing result of the user index according to the at least one user parameter;
according to the index processing result of each user index, determining the visualization processing results of the plurality of first users;
and sending the visualization processing result to preset equipment or displaying the visualization processing result.
2. The method of claim 1, wherein obtaining the first user information of the plurality of first users in accordance with the data processing request comprises:
acquiring initial user information of the plurality of first users and updating time of the initial user information in a database;
and according to the updating time, updating the initial user information of the plurality of first users to obtain the first user information of the plurality of first users.
3. The method of claim 2, wherein for any one first user; according to the update time, the initial user information of the first user is updated to obtain the first user information of the first user, which comprises the following steps:
acquiring a time difference between the current time and the update time;
if the time difference is greater than or equal to a preset threshold value, determining a user parameter to be updated in the initial user information, and updating the user parameter to be updated in the initial user information according to the current time and the updating time to obtain the first user information, and updating the updating time to the current time;
and if the time difference is smaller than or equal to the preset threshold value, determining the initial user information as the first user information.
4. A method according to claims 1-3, wherein determining a plurality of user metrics for the plurality of first users based on the current policy information and a plurality of preset metrics comprises:
processing the current strategy information through a preset model to obtain a plurality of first indexes;
combining and de-duplication processing is carried out on the plurality of first indexes and the plurality of preset indexes to obtain a plurality of recommended indexes;
and determining the plurality of user indexes according to the plurality of recommendation indexes.
5. The method of claim 4, wherein determining the plurality of user metrics from the plurality of recommendation metrics comprises:
displaying the plurality of recommended indexes and a selection frame corresponding to each recommended index;
and responding to clicking operation of the user on the selection frame, and determining a plurality of recommendation indexes selected by the user as the plurality of user indexes.
6. The method according to any one of claims 1-5, wherein determining at least one user parameter corresponding to the user indicator in the plurality of first user information comprises:
determining the parameter type corresponding to the user index;
and determining at least one user parameter corresponding to the user index in the plurality of first user information according to the parameter type of each user parameter in the plurality of first user information.
7. The method of any of claims 1-6, wherein determining the visualization of the plurality of first users based on the index treatment results for each user index comprises:
determining a visual template corresponding to each user index;
aiming at any user index, generating a visual index view corresponding to the user index according to an index processing result corresponding to the user index and the visual template;
and generating the visual processing result according to the visual index view corresponding to each user index.
8. The user data processing device is characterized by comprising a first acquisition module, a second acquisition module, a first determination module, a second determination module, a third determination module, a fourth determination module and a sending module:
the first acquisition module is used for acquiring a data processing request, wherein the data processing request is used for requesting to process user information of a plurality of first users;
the second acquisition module is used for acquiring a plurality of pieces of first user information of the plurality of first users according to the data processing request, wherein the first user information comprises a plurality of user parameters of the first users;
the first determining module is used for determining a plurality of user indexes of the plurality of first users according to the current strategy information and a plurality of preset indexes;
the second determining module is used for determining at least one user parameter corresponding to the user index in the plurality of first user information aiming at each user index,
the third determining module is used for determining an index processing result of the user index according to the at least one user parameter;
the fourth determining module is used for determining the visual processing results of the plurality of first users according to the index processing results of each user index;
the sending module is used for sending the visualization processing result to preset equipment or displaying the visualization processing result.
9. A terminal device, comprising: a memory and a processor, wherein the memory is configured to store,
the memory stores computer-executable instructions;
the processor executing computer-executable instructions stored in the memory, causing the processor to perform the user data processing method of any one of claims 1 to 7.
10. A computer readable storage medium having stored therein computer executable instructions for implementing the user data processing method of any of claims 1 to 7 when the computer executable instructions are executed by a processor.
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| CN202310659460.4A CN116823199A (en) | 2023-06-05 | 2023-06-05 | User data processing method, device, equipment and readable storage medium |
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