Human resource management system and method based on network platform, and medium

Abstract

The invention relates to the technical field of data processing, in particular to a human resource management system and method based on a network platform and a medium, and the system comprises an uploading module which is used for uploading a resume of a user and extracting related information of the user from the resume of the user; the editing module is used for editing recruitment target related information; the query module is used for receiving the recruitment target related information operated and edited by the editing module, and querying the user related information conforming to the recruitment target related information in the user related information by taking the recruitment target related information as a query target; the queue module is used for obtaining the user related information queried by the query module and generating a user related information queue; according to the invention, the job seeker resumes are collected in a centralized manner, and the job seeker resumes are continuously classified and screened for users with post demands in a manner of editing demand information, so that the matching speed and precision of the job seekers and the recruiters are effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly relates to a human resource management system, method and medium based on a network platform. Background Art

[0002] Human resource management is a crucial part of enterprise operation. It focuses on various aspects such as personnel recruitment, training, performance evaluation, and salary management. By reasonably allocating human resources, tapping the potential of employees, and creating a positive working atmosphere, it aims to achieve the strategic goals of the enterprise, enhance the overall competitiveness, and is a key management area related to the long-term development of the enterprise.

[0003] A patent for invention with the application number 202211198463.4 discloses a human resource management system based on a network platform, including a main control module, a user module, a screening module, a user identification unit, a payment unit, and an onboarding module. The main control module is connected to the user module through a data information transmission line, the main control module is connected to the screening module through a data information transmission line, and the main control module is connected to the payment unit through a data information transmission line; the user identification unit is connected to the screening module through a data information transmission line, and the screening module is connected to the onboarding module through a data information transmission line; the onboarding module is connected to the payment unit through a data information transmission line; the user identification unit includes a data collection module for collecting and recording information when a person joins the company and providing the information to the screening module through the data information transmission line; the screening module includes an exam database and an assessment database, and the exam database is connected to the assessment database through a data information transmission line.

[0004] This application aims to solve the problems: "There are significant loopholes in the existing human resource management in recruitment. Most of the human resource allocation is implemented based on human experience, which is full of subjectivity, resulting in adverse effects on the overall revenue and development of the enterprise; when training employees in the existing human resource management, it is generally through on-site training, which will cause a great financial burden to the enterprise."

[0005] Currently, in the recruitment scenario of human resource management, it still relies to a large extent on the online communication between recruiters and job seekers to reach a further interview appointment. This method has low efficiency, and the matching degree between recruiters and job seekers at the initial stage is relatively low, which relatively affects the overall process of the recruitment work. Summary of the Invention

[0006] In view of the above-mentioned shortcomings of the prior art, the present invention provides a human resource management system, method and medium based on a network platform, which solves the technical problems raised in the above background art.

[0007] To achieve the above objectives, the present invention is realized through the following technical solutions:

[0008] In a first aspect, a human resource management system based on a network platform includes:

[0009] An upload module for uploading a user's resume and extracting user-related information from the user's resume; an editing module for editing recruitment target-related information; a query module for receiving the recruitment target-related information edited by the editing module, using the recruitment target-related information as a query target, and querying for user-related information that matches the recruitment target-related information among the user-related information; a queue module for obtaining the user-related information queried by the query module and generating a user-related information queue; an interaction module for setting the number of recommended users and selecting the same number of user-related information from the user-related information queue to output to the corresponding users; a refresh module for refreshing and jumping to the operation stage of the interaction module to control the interaction module to run again.

[0010] Furthermore, the user resume uploaded by the upload module includes a paper resume or an electronic resume, and the user-related information extracted from the resume is the text information contained in the resume. The upload module is provided with sub-modules at a lower level, including:

[0011] An identification unit for collecting resume image data, identifying user-related information in the resume image data, and sending the identified resume image to the storage unit;

[0012] A storage unit for storing user-related information;

[0013] Among them, when the user resume is an electronic resume, the upload module extracts user-related information from the resume. When the user resume is a paper resume, the identification unit collects user resume image data, and the identification unit further identifies the user-related information in the resume image data based on an optical character recognition algorithm. The user-related information extracted by the upload module and the user-related information identified by the identification unit are both sent to the storage unit and stored separately in the storage unit. The user-related information includes: user name, gender, age, address, contact information, education level, professional skills mastered, language skills, computer skills, cumulative working hours, words or phrases for self-evaluation.

[0014] Furthermore, the recruitment target-related information in the editing module is manually edited by the system-side user, and the edited recruitment target-related information is any number of information in the user-related information except the user name and address;

[0015] When the query module runs to query for user-related information that matches the recruitment target-related information among the user-related information, it calculates the similarity between each user-related information and the recruitment target-related information, and selects 50% of the user-related information with the largest similarity calculation result as the user-related information that matches the recruitment target-related information.

[0016] Furthermore, the similarity calculation logic between the user-related information and the recruitment target-related information is expressed as:

[0017]

[0018] In the formula: S(A,B) is the similarity between user-related information A and recruitment target-related information B; C is the number of common words; min(n A ,m B ) is to take the minimum value within the brackets; n A , m B are the number of words contained in user-related information A and recruitment target-related information B respectively; W A , W B are the semantic vectors of user-related information A and recruitment target-related information B; |W A |, |W B | are the norms of vectors W A , W B ;

[0019] Among them, is the word vector corresponding to the i-th word in user-related information A, and the calculation method of W B is the same as that of W A .

[0020] Furthermore, when the queue module sorts the user-related information, it performs a descending order arrangement based on the similarity calculation results between each user-related information and the recruitment target-related information to generate a user-related information queue. There is a sub-module set inside the queue module, including:

[0021] A correction unit, which is used to receive the similarity calculation results between each user-related information and the recruitment target-related information obtained by the operation of the queue module, and correct the similarity calculation results;

[0022] Among them, before the queue module runs to generate the user-related information queue, the correction unit runs first, and generates the user-related information queue by applying the corrected similarity calculation results.

[0023] Furthermore, the correction logic for the similarity calculation results in the correction unit is expressed as:

[0024]

[0025] In the formula: S(A,B)′ is the similarity between the corrected user-related information A and the recruitment target-related information B; S(A,B) is the similarity between user-related information A and the recruitment target-related information B; g 0 is the number of times the user has come to the interview; g allis the number of times the user is invited for an interview; is the average length of service of the user's previous employment; T max is the maximum length of service in the user's previous employment; P is the user's resignation frequency; d is the distance between the user's residence and the workplace; γ is the normalization factor;

[0026] Among them, the normalization factor γ is a positive number, and the value of the normalization factor γ is user-defined by the system-side user, which is used to prevent the calculation result S(A,B)′ from being too large or too small.

[0027] Furthermore, the number of recommended users set in the interaction module is user-defined by the system-side user. When selecting users corresponding to user-related information in the user-related information queue, the user-related information corresponding to the corresponding number of positions in the front of the user-related information queue is selected as the selection target;

[0028] The interaction module is connected to the computer device held by the system-side user through a wireless network. The interaction module transmits the selection target to the computer. The system-side user reads the selection target in the computer device. The system-side user synchronously transmits the interview results and the results of whether the user arrives for the interview of each selection target to the interaction module in the computer device and stores them in the interaction module;

[0029] During the operation stage of the refresh module, the interview results of each selection target are retrieved from the interaction module. When all the interview results are passed, it ends. When the number of passed interview results is less than the number of recommended users set in the interaction module, it jumps to the interaction module to run again. When the interaction module runs again, the difference between the number of recommended users and the number of unpassed interview results is used as the new number of recommended users, and the user-related information corresponding to the number of recommended users is selected from the front of the user-related information queue and the users not selected in the previous run are used as the selection target.

[0030] Furthermore, the lower level of the upload module is connected to an identification unit and a storage unit through wireless network interaction. The upload module is connected to an editing module and a query module through wireless network interaction. The editing module and the query module are connected to the storage unit through wireless network interaction. The query module is connected to a queue module through wireless network interaction. The queue module is internally connected to a correction unit through wireless network interaction. The queue module is connected to the interaction module and the refresh module through wireless network.

[0031] In a second aspect, a human resource management method based on a network platform includes the following steps:

[0032] Upload the user's resume, extract the user-related information from the user's resume, and store it;

[0033] Traverse the information related to the recruitment target, use the information related to the recruitment target as the query content, perform a query operation in the stored user-related information, and query the user-related information that meets the information related to the recruitment target;

[0034] Analyze the similarity between each group of user-related information that meets the information related to the recruitment target and the information related to the recruitment target, and generate a user-related information queue based on the similarity analysis result;

[0035] Set the number of recommended users, pick up the user-related information corresponding to the same number of users as the recommended user number at the front position of the user-related information queue as the output target, and perform the output operation;

[0036] After the output target is output, the user from whom the information related to the recruitment target comes reads the output target, sends an interview invitation to the output target, records the result of whether the output target arrives for the interview and the result of whether the interview is passed. When the number of passed interview results is less than the number of recommended users, jump to setting the number of recommended users and perform the picking operation of the output target again.

[0037] Thirdly, a storage medium for human resource management based on a network platform, on which a computer program is stored. When the computer program is executed by a processor, it realizes the execution steps of a human resource management method based on a network platform, or realizes the running program of a human resource management system based on a network platform.

[0038] Adopting the technical solution provided by the present invention, compared with the known public technology, it has the following beneficial effects:

[0039] The present invention provides a human resource management system, method and medium based on a network platform. During the operation of the system, through the centralized collection of job seeker resumes, for users with job requirements, by editing requirement information, the job seeker resumes are continuously screened at different levels, effectively improving the matching speed and accuracy between job seekers and recruiters, making the recruitment work in human resource management more efficient. At the same time, this technical solution ensures a certain degree of privacy in the recruitment work, thereby further ensuring the fairness and impartiality of the recruitment work with the improvement of privacy. At the same time, this solution is more efficient for recruitment work and greatly reduces the complexity of the recruitment work. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0041] Figure 1 It is a schematic structural diagram of a human resource management system based on a network platform;

[0042] Figure 2 It is a schematic flowchart of a human resource management method based on a network platform. Specific implementation manners

[0043] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0044] The present invention will be further described below with reference to the embodiments.

[0045] Embodiment 1:

[0046] A human resource management system based on a network platform in this embodiment, as Figure 1 shown, includes:

[0047] An upload module, configured to upload a user's resume and extract user-related information from the user's resume;

[0048] The user resume uploaded in the upload module includes a paper resume or an electronic resume. The user-related information extracted from the resume is the text information included in the resume. A sub-module is provided under the upload module, including:

[0049] An identification unit, configured to collect resume image data, identify user-related information in the resume image data, and send the identified resume image to the storage unit;

[0050] A storage unit, configured to store user-related information;

[0051] Among them, when the user resume is an electronic resume, the upload module extracts user-related information from the resume. When the user resume is a paper resume, the identification unit collects the user resume image data, and the identification unit further identifies the user-related information in the resume image data based on an optical character recognition algorithm. The user-related information extracted by the upload module and the user-related information identified by the identification unit are both sent to the storage unit and stored separately in the storage unit. The user-related information includes: user name, gender, age, address, contact information, education level, professional skills mastered, language skills, computer skills, cumulative working hours, words or phrases for self-evaluation;

[0052] In the editing module, the information related to the recruitment target is manually edited by the system-side user. The information related to the recruitment target edited is any number of information in the user-related information except for the user name and address;

[0053] When the query module runs to query the user-related information that meets the recruitment target-related information in each user-related information, it calculates the similarity between each user-related information and the recruitment target-related information, and selects 50% of the user-related information with the largest similarity calculation result as the user-related information that meets the recruitment target-related information;

[0054] The similarity calculation logic between the user-related information and the recruitment target-related information is expressed as:

[0055]

[0056] In the formula: S(A,B) is the similarity between user-related information A and recruitment target-related information B; C is the number of common words; min(n A ,m B ) is to take the minimum value in the parentheses; n A , m B are the number of words contained in user-related information A and recruitment target-related information B respectively; W A , W B are the semantic vectors of user-related information A and recruitment target-related information B; |W A |, |W B | are the norms of vectors W A , W B ;

[0057] Among them, is the word vector corresponding to the i-th word in user-related information A, and the calculation method of W B is the same as that of W A ;

[0058] Through the above logical formula, the similarity between the user-related information and the recruitment target-related information is calculated, providing operation data support for the further operation of the system in this embodiment.

[0059] An editing module for editing information related to the recruitment target;

[0060] A query module for receiving the information related to the recruitment target edited by the operation of the editing module, using the information related to the recruitment target as the query target, and querying the user-related information that meets the information related to the recruitment target in each user-related information;

[0061] A queue module for obtaining the user-related information queried by the operation of the query module and generating a user-related information queue;

[0062] When the queue module sorts the user-related information, it performs a descending order arrangement based on the similarity calculation results between each user-related information and the recruitment target-related information to generate a user-related information queue. There are sub-modules set inside the queue module, including:

[0063] A correction unit, which is used to receive the similarity calculation results between each user-related information and the recruitment target-related information obtained by the operation of the queue module, and correct the similarity calculation results;

[0064] Among them, before the queue module runs to generate the user-related information queue, the correction unit runs preferentially, and uses the corrected similarity calculation results to generate the user-related information queue;

[0065] The correction logic for the similarity calculation results in the correction unit is expressed as:

[0066]

[0067] In the formula: S(A,B)′ is the similarity between the corrected user-related information A and the recruitment target-related information B; S(A,B) is the similarity between the user-related information A and the recruitment target-related information B; g 0 is the number of times the user has come to the interview; g all is the number of times the user has been invited for an interview; is the average length of service of the user's previous employment; T max is the maximum length of service in the user's previous employment; P is the user's resignation frequency; d is the distance between the user's residence and the workplace; γ is the normalization factor;

[0068] Among them, the normalization factor γ is a positive number, and the value of the normalization factor γ is user-defined by the system end-user, which is used to prevent the calculation result S(A,B)′ from being too large or too small;

[0069] Through the above logical formula, the above similarity calculation results are corrected, so as to provide data support for the queue module to ensure the stable generation of the user-related information queue and provide support for the subsequent matching of job-seeking users and recruitment users.

[0070] An interaction module, which is used to set the number of recommended users, and select the same number of user-related information in the user-related information queue to output to the corresponding users;

[0071] A refresh module, which is used to perform a refresh jump, jump to the operation stage of the interaction module, and control the interaction module to run again;

[0072] The lower level of the upload module is connected with an identification unit and a storage unit through wireless network interaction. The upload module is connected with an editing module and a query module through wireless network interaction. The editing module and the query module are connected with the storage unit through wireless network interaction. The query module is connected with a queue module through wireless network interaction. Inside the queue module, there is a correction unit connected through wireless network interaction. The queue module is connected with an interaction module and a refresh module through wireless network interaction.

[0073] In this embodiment, the upload module runs to upload the user's resume, extracts user-related information from the user's resume. The identification unit synchronously collects resume image data, identifies user-related information in the resume image data, and sends the identified resume image to the storage unit. The storage unit stores user-related information in real time. The editing module runs later to edit recruitment target-related information. The query module further receives the recruitment target-related information edited by the editing module, uses the recruitment target-related information as the query target, queries for user-related information that meets the recruitment target-related information among all user-related information, and then the queue module obtains the user-related information queried by the query module to generate a user-related information queue. The correction unit receives in real time the similarity calculation results of the user-related information obtained by the queue module running and the recruitment target-related information, corrects the similarity calculation results, and finally sets the number of recommended users through the interaction module, selects the same number of user-related information corresponding to users in the user-related information queue for output, and the refresh module refreshes and jumps to the running stage of the interaction module to control the interaction module to run again.

[0074] Through the operation of the system in the above embodiment, it brings a more intelligent online matching service for job seekers and recruiters in the recruitment scenario of human resource management, effectively improving the matching degree between job seekers and recruiters in the recruitment scenario of human resource management, and ensuring that the recruitment work is carried out more efficiently and accurately.

[0075] As Figure 1 shown, the number of recommended users set in the interaction module is user-defined by the system-side user. When selecting user-related information corresponding to users in the user-related information queue, the corresponding number of user-related information at the front position of the user-related information queue is selected as the selection target;

[0076] The interaction module is connected to the computer device held by the system-side user through wireless network. The interaction module transmits the selection target to the computer. The system-side user reads the selection target on the computer device, and the system-side user synchronously transmits the interview results and the results of whether the candidates arrive for the interview of each selection target to the interaction module on the computer device for storage in the interaction module;

[0077] During the operation stage of the refresh module, the interview results of each selected target are retrieved from the interaction module. When all the interview results are passed, it ends. When the number of passed interview results is less than the number of recommended users set in the interaction module, it jumps back to the interaction module to run again. When the interaction module runs again, the difference between the number of recommended users and the number of failed interview results is used as the new number of recommended users. The user information corresponding to the recommended number of users is selected from the front position of the user information queue of the selected users, and the users who were not selected in the previous run are used as the selected targets.

[0078] Through the above settings, further operational data support is provided for the operation of the system in the above embodiments, ensuring that the system in the above embodiments runs more stably and more logically.

[0079] Embodiment 2:

[0080] At the specific implementation level, on the basis of Embodiment 1, this embodiment further specifically describes a human resource management system based on a network platform in Embodiment 1 with reference to Figure 2 as shown:

[0081] A human resource management method based on a network platform includes the following steps:

[0082] Upload the user resume, extract the user-related information from the user resume, and store it;

[0083] Traverse the recruitment target-related information, use the recruitment target-related information as the query content, and perform a query operation on the stored user-related information to query the user-related information that meets the recruitment target-related information;

[0084] Analyze the similarity between each group of user-related information that meets the recruitment target-related information and the recruitment target-related information, and generate a user-related information queue based on the similarity analysis results;

[0085] Set the number of recommended users, pick up the users corresponding to the user-related information equal to the number of recommended users from the front position of the user-related information queue as the output targets, and perform the output operation;

[0086] After the output targets are output, the users from whom the recruitment target-related information comes read the output targets, send interview invitations to the output targets, record the results of whether the output targets arrive for the interview and whether the interviews are passed. When the number of passed interview results is less than the number of recommended users, it jumps to setting the number of recommended users and performs the pick-up operation of the output targets again.

[0087] Embodiment 3:

[0088] At the specific implementation level, on the basis of Embodiment 1, this embodiment further specifically describes a human resource management system based on a network platform in Embodiment 1:

[0089] A storage medium for human resource management based on a network platform, on which a computer program is stored. When the computer program is executed by a processor, it implements the execution steps of a human resource management method based on a network platform, or implements the running program of a human resource management system based on a network platform.

[0090] In summary, during the operation of the system in the above embodiments, through the centralized collection of job seeker resumes, for users with job requirements, by editing requirement information, continuous hierarchical screening of job seeker resumes is carried out, effectively improving the matching speed and accuracy between job seekers and recruiters, making the recruitment work in human resource management more efficient. At the same time, this technical solution ensures a certain degree of privacy in the recruitment work, thereby further ensuring the fairness and justice of the recruitment work with the improvement of privacy. At the same time, this solution is more efficient for the recruitment work and greatly reduces the complexity of the recruitment work.

[0091] The above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A human resource management system based on a network platform, characterized in that: include: The upload module is used to upload the user's resume and extract user-related information from the user's resume; Editing module, used to edit information related to recruitment targets; A query module is used to receive the recruitment target related information edited by the editing module, use the recruitment target related information as the query target, and query the user related information that matches the recruitment target related information in the user related information; The queue module is used to obtain user-related information queried by the query module and generate a user-related information queue; The interactive module is used to set the number of recommended users and select the same number of user-related information from the user-related information queue to output corresponding users; The refresh module is used to refresh and jump to the interactive module running stage, and control the interactive module to run again.

2. A human resource management system based on a network platform according to claim 1, characterized in that: The user resume uploaded in the upload module includes a paper resume or an electronic resume, and the user-related information extracted from the resume is the text information contained in the resume. The upload module is provided with submodules at the lower level, including: The recognition unit is used to collect resume image data, recognize user-related information in the resume image data, and send the recognized resume image to the storage unit; A storage unit, used to store user related information; Among them, when the user resume is an electronic resume, the upload module extracts user-related information during the establishment; when the user resume is a paper resume, the recognition unit collects user resume image data, and the recognition unit further recognizes user-related information in the resume image data based on a text recognition algorithm. The user-related information extracted by the upload module and the user-related information recognized by the recognition unit are both sent to the storage unit and stored separately in the storage unit. The user-related information includes: user name, gender, age, address, contact information, education, professional skills, language skills, computer skills, accumulated working time, and self-descriptive words or phrases.

3. A human resource management system based on a network platform according to claim 1, characterized in that: The recruitment target related information in the editing module is manually edited by the system end user, and the edited recruitment target related information is any amount of information in the user related information except the user name and address; When the query module searches for user related information that matches the recruitment target related information in each user related information, the similarity between each user related information and the recruitment target related information is calculated, and 50% of the user related information with the largest similarity calculation results are selected as user related information that matches the recruitment target related information.

4. A human resource management system based on a network platform according to claim 3, characterized in that: The similarity calculation logic between the user-related information and the recruitment target-related information is expressed as: Where: S(A,B) is the similarity between user-related information A and recruitment target-related information B; C is the number of common words; min(n A ,m B ) is the minimum value in brackets; n A 、m B is the number of words contained in user-related information A and recruitment target-related information B respectively; W A , W B is the semantic vector of user-related information A and recruitment target-related information B; |W A |、|W B | is the vector W A , W B Model; in, is the word vector corresponding to the i-th word in user related information A, W B The calculation method is similar to W A same.

5. The human resource management system based on a network platform according to claim 1 is characterized in that: When the queue module sorts the user related information, it arranges the information in descending order based on the similarity calculation results between each user related information and the recruitment target related information to generate a user related information queue. The queue module is internally provided with submodules, including: A correction unit, used for receiving the similarity calculation results of the relevant information of each user and the relevant information of the recruitment target obtained by the queue module, and correcting the similarity calculation results; Before the queue module runs to generate the user-related information queue, the correction unit runs first and applies the corrected similarity calculation result to generate the user-related information queue.

6. A human resource management system based on a network platform according to claim 5, characterized in that: The correction logic for the similarity calculation result in the correction unit is expressed as: Where: S(A,B)′ is the similarity between the corrected user-related information A and the recruitment target-related information B; S(A,B) is the similarity between the user-related information A and the recruitment target-related information B; g0 is the number of user interviews; g all The number of times the user has been invited for an interview; The average length of time the user has worked in his or her past jobs; T max is the maximum length of time the user has worked in the past; P is the frequency of user resignation; d is the distance between the user's home and the workplace; γ is the normalization factor; The normalization factor γ is a positive number, and the value of the normalization factor γ is customized by the system user to prevent the calculation result S(A, B)′ from being too large or too small.

7. A human resource management system based on a network platform according to claim 1, characterized in that: The number of recommended users set in the interaction module is customized by the system end user. When selecting users corresponding to user related information in the user related information queue, users corresponding to the corresponding number of user related information in the front position of the user related information queue are selected as selection targets; The interactive module is connected to a computer device held by a system end user via a wireless network. The interactive module transmits the selected target to the computer. The system end user reads the selected target in the computer device. The system end user synchronously transmits the interview results of each selected target and the result of whether the interview is present to the interactive module in the computer device, and stores the results in the interactive module. During the operation phase of the refresh module, the interview results of each selected target are retrieved in the interactive module. When all interview results are passed, the module ends. When the number of passed interview results is less than the number of recommended users set in the interactive module, the module jumps to the interactive module and runs again. When the interactive module runs again, the difference between the number of recommended users and the number of failed interview results is used as the new number of recommended users. The recommended number of users is selected at the front position of the selected user related information queue, and the user corresponding to the user related information that was not selected in the previous operation is used as the selection target.

8. The human resource management system based on a network platform according to claim 1, characterized in that: The upload module is interactively connected to an identification unit and a storage unit at its lower level via a wireless network, the upload module is interactively connected to an editing module and a query module via a wireless network, the editing module and the query module are interactively connected to the storage unit via a wireless network, the query module is interactively connected to a queue module via a wireless network, the queue module is interactively connected to a correction unit via a wireless network, and the queue module is interactively connected to an interaction module and a refresh module via a wireless network.

9. A human resource management method based on a network platform, the method being an implementation method of a human resource management system based on a network platform as claimed in any one of claims 1 to 8, characterized in that: The following steps are involved: Upload user resume, extract user related information in user creation, and store it; Traverse the recruitment target related information, use the recruitment target related information as the query content, perform a query operation in the stored user related information, and query the user related information that matches the recruitment target related information; Analyze the similarity between the information related to each group of users that meets the relevant information of the recruitment target and the relevant information of the recruitment target, and generate a queue of user-related information based on the similarity analysis results; Set the number of recommended users, pick up the corresponding users of user-related information equal to the number of recommended users in the front position of the user-related information queue as output targets, and perform the output operation; After the output target is output, the user who is the source of the recruitment target related information reads the output target and sends an interview invitation to the output target, records whether the output target has attended the interview and whether the interview has been passed. When the number of passed interview results is less than the number of recommended users, jump to setting the number of recommended users and execute the output target picking operation again.

10. A storage medium for human resource management based on a network platform, characterized in that: The storage medium stores a computer program, which, when executed by a processor, implements the execution steps of a human resources management method based on a network platform as described in claim 9, or implements the operating program of a human resources management system based on a network platform as described in any one of claims 1 to 8.

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