Recruitment service platform based on WeChat applet and working method

Abstract

The invention discloses a recruitment service platform based on a WeChat applet and a working method, and relates to the technical field of human resource management and computer application. Comprising a front-end module which runs in a WeChat applet environment and carries out user interface display and interaction; the back-end module responds to the front-end request and processes service logic and data interaction; the database design module is used for storing user information, position information, resume data, interview records and message data; the security mechanism design module is used for carrying out encryption transmission through an HTTPS protocol and carrying out whole-process data security guarantee in combination with permission verification and input cleaning; and the permission distribution module performs system permission control by defining role responsibilities and distributing data permissions in combination with security policies and log records. According to the invention, the experience can be improved through a lightweight applet, the full recruitment process is covered, the cost is reduced and the efficiency is improved through an efficient and stable system, and a convenient recruitment scheme is provided for job seekers and enterprises through accurate matching and information transparency.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of human resource management and computer application technology, and in particular to a recruitment service platform based on a WeChat mini program and a working method. BACKGROUND

[0002] At present, recruitment service platforms mainly use independent mobile APP or H5 pages based on WeChat public numbers. These methods have the following technical defects in actual application:

[0003] Traditional recruitment APPs (such as BOSS Direct Employment, Career Joy, etc.) have high user access thresholds, require users to download and install, occupy mobile storage space, and need to be registered and logged in before use, affecting the first-time user experience; the development and maintenance costs are high, Android and iOS versions need to be developed separately, cross-platform compatibility is poor, and updates need to be manually upgraded by users; deployment is complex, usually relying on independent server and client architecture, system maintenance and data synchronization are complex, and response speed is limited.

[0004] H5 recruitment systems based on WeChat public numbers have slow page loading speed, rely on browser rendering, low loading efficiency, poor user experience, limited function implementation, lack of native component support, and difficulty in implementing complex interactive functions such as video interviews and real-time chats; poor interactive experience, frequent page jumps, unsmooth operation, and low user retention rate.

[0005] In summary, the existing recruitment platforms still have many shortcomings in user experience, function implementation, development efficiency, and deployment convenience, and cannot meet the current user demand for efficient and lightweight recruitment services. SUMMARY

[0006] The present application provides a recruitment service platform based on a WeChat mini program, comprising:

[0007] A front-end module based on Uniapp and Vue2 is built and runs in a WeChat mini program environment for user interface display and interaction;

[0008] A back-end module based on the ThinkPHP framework is built and deployed in a Linux server environment to respond to front-end requests through RESTful API interfaces, process business logic and data interaction;

[0009] A database design module stores user information, position information, resume data, interview records, and message data through MySQL;

[0010] A security mechanism design module provides full-process data security through encrypted transmission via HTTPS protocol, combined with permission verification and input cleaning;

[0011] The authority allocation module allocates data authority by defining role responsibility, combines security strategy, log record to control system authority.

[0012] The recruitment service platform based on the WeChat applet, wherein the front-end module specifically comprises:

[0013] The front-end design sub-module builds a user interface based on Uniapp and Vue2 framework, and optimizes interactive functions through a third-party UI library.

[0014] The user interaction and data communication sub-module is used for login registration, recruitment management, job seeking, interview arrangement and instant messaging interface display and operation processing.

[0015] The recruitment service platform based on the WeChat applet, wherein the back-end module specifically comprises:

[0016] The back-end design sub-module is built based on ThinkPHP framework, uses MySQL database to store data, and communicates between the front-end and the back-end through RESTful API.

[0017] The interface design sub-module designs the back-end function interface to process the whole process of business logic.

[0018] The recruitment service platform based on the WeChat applet, wherein the database design module specifically comprises: building core tables conforming to the database paradigm through MySQL, the core tables include a user information table recording basic information of job seekers and enterprise users, a position information table storing position details published by enterprises, a resume information table saving resume content of job seekers, a delivery record table associating users and positions, and an interview arrangement table recording interview time mode state information.

[0019] The recruitment service platform based on the WeChat applet, wherein the security mechanism design module specifically comprises: using HTTPS encrypted transmission, filtering illegal characters to prevent SQL injection and XSS attacks, and password encryption storage, mobile phone number desensitization display sensitive data protection to ensure the security of registration and login data; using HTTPS encrypted data transmission, authority control and identity authentication to ensure the operation authority of enterprise users, and input verification and illegal character filtering to ensure the security of recruitment data and job seeking data; using HTTPS encrypted communication, filtering illegal characters to prevent SQL injection and XSS attacks, and checking user authority to ensure the security of interview data; verifying user identity, encrypting message content transmission and using HTTPS encrypted communication to ensure the security of instant messaging data.

[0020] The recruitment service platform based on the WeChat applet has a permission allocation module, which specifically comprises the following steps: defining the core operations of position publishing and resume submission by clearly defining the identity and responsibility of the recruitment officer, the job seeker, the department manager and the administrator, realizing clear division of user roles; refining the function and data permission, clearly defining the operation range and data access boundary, and accurately allocating the permission of each role; implementing security measures relying on two-factor authentication, IP whitelist and password rules; realizing user management through batch or single role allocation, password reset and information modification; recording position, resume operation and login log, and retaining traces for auditing and problem troubleshooting.

[0021] The application further provides a recruitment service working method based on the WeChat applet, comprising the following steps:

[0022] Step S1, quickly logging in through WeChat authorization and performing identity verification, and jumping to the main page after verification;

[0023] Step S2, based on user demand, the user interacts with the recruitment and job-seeking information;

[0024] Step S3, the enterprise user initiates an interview invitation, and the job-seeking user processes the interview invitation;

[0025] Step S4, real-time communication is performed through WebSocket, and messages are sent, received, viewed and managed;

[0026] Step S5, position, resume and interview management are performed through the background management system, and operation and login logs are recorded.

[0027] The recruitment service working method based on the WeChat applet has the following sub-steps in the step S2 of interacting with the recruitment and job-seeking information based on user demand:

[0028] Step S21, the enterprise user publishes recruitment information, browses job-seeking user information and performs recruitment operation;

[0029] Step S22, the job-seeking user browses a position list, views position detail information and delivers a resume to the enterprise user.

[0030] The recruitment service working method based on the WeChat applet has the following sub-steps in the step S3 of the enterprise user initiating an interview invitation and the job-seeking user processing the interview invitation:

[0031] Step S31, the enterprise user sets an interview time and a way to initiate an interview invitation to the job-seeking user;

[0032] Step S32, the job-seeking user receives the interview invitation and gives a feedback result.

[0033] The application has the following beneficial effects: the application can reduce the use threshold through the lightweight micro program form of WeChat, realize smooth operation and one-stop recruitment process processing by means of the uniapp+Vue2 technology stack, and significantly improve the user experience; by completely covering the human resource management functions such as position publishing, resume screening, online interview, and matching the high-performance MySQL database design and security interface mechanism, the efficient and stable operation of the system is ensured; relying on the cross-platform development framework to reduce the development and maintenance cost, the one-stop service and online interview function reduce the enterprise recruitment cost, and at the same time, the precise matching algorithm enhances the matching degree of job seekers and enterprise needs, and strengthens the transparency of recruitment information, so as to improve the service efficiency and control the cost, effectively promote the activity of the talent market, and provide efficient and convenient recruitment service solutions for job seekers and enterprises. BRIEF DESCRIPTION OF DRAWINGS

[0034] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are only some embodiments described in the present application, and other drawings can also be obtained by those skilled in the art based on these drawings.

[0035] Figure 1 is a schematic diagram of a recruitment service platform based on a micro program of WeChat provided by the first embodiment of the present application;

[0036] Figure 2 is a flow chart of a recruitment service working method based on a micro program of WeChat provided by the second embodiment of the present application. DETAILED DESCRIPTION

[0037] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0038] Embodiment one

[0039] As shown in the figure, the first embodiment of the present application provides a recruitment service platform based on a micro program of WeChat, which comprises: Figure 1 The front-end module 11 is constructed based on Uniapp and Vue2, runs in the WeChat micro program environment, and performs user interface display and interaction;

[0040] Further, the front-end module 11 comprises the following sub-modules:

[0041]

[0042] ​Front-end design submodule 111: The user interface is built based on the Uniapp and Vue2 frameworks, and third-party UI libraries are used to optimize the interactive functions.

[0043] Specifically, the user interface is built using Vue2 (a user interface building framework), cross-platform compatibility is achieved by combining it with uniapp (a cross-platform front-end framework), aesthetically pleasing user interfaces are built using third-party UI libraries (such as VantWeapp), and interactive functions are optimized. Global state management is performed using Vuex (a state management library), unifying the handling of complex interaction logic. The user interface includes the homepage, job listing page, resume submission page, interview appointment page, and personal center page, etc. The user interface relies on WeChat Mini Program runtime loading to display user interactions and respond to operations, and calls backend API interfaces to complete data interaction.

[0044] The homepage showcases popular jobs, intelligently recommended positions, and renowned employers, and allows for quick searching and filtering. The job list page allows users to filter jobs by industry, salary, region, and other criteria, displaying job details and company information. The resume submission page allows users to create, edit, and upload resumes containing basic information, job intentions, education, and work experience, and also includes resume completeness checks and privacy settings. The interview appointment page displays interview schedules with information such as time, method, and status, and allows users to confirm or decline interviews; it also integrates WeChat video components for online interviews. The personal center page provides separate entry points for job seekers and companies, allowing users to manage account information, save jobs, application records, and access membership services.

[0045] The user interaction and data communication submodule 112 is used for the full-process interface display and operation processing of login and registration, recruitment management, job application, interview arrangement and instant messaging;

[0046] Specifically, login and registration are implemented through loading status feedback, input validity validation, and API data transmission and response processing; recruitment management is achieved through form design and validation on the job posting page, form data submission, job list display and editing / deletion operations on the job management page, data request and display for resume viewing, and information submission and calendar selector for interview arrangements; job search is achieved through data loading and rendering and pagination for the job list page, user input reception, form validation and request sending for the search function, request display for job details, and form validation and data sending for resume submission; interview scheduling is achieved through form filling, time selection component provision and scheduling information submission on the interview scheduling page, system notification reception and content viewing for interview notification display, history display and filtering sorting on the interview record page, and confirmation / cancel buttons and status change submission for interview status updates; and instant messaging is achieved through chat window layout, input boxes and send buttons in the message interface design, list display and add / delete operations in the contact management interface, new message reception and chat history updates in real-time message display, and long polling or WebSocket connection maintenance for data synchronization.

[0047] Backend module 12 is built on the ThinkPHP framework and deployed on a Linux server environment. It responds to frontend requests through a RESTful API interface and handles business logic and data interaction.

[0048] Furthermore, backend module 12 includes the following sub-modules:

[0049] The backend design submodule 121 is built on the ThinkPHP framework, uses a MySQL database to store data, and uses a RESTful API for front-end and back-end communication.

[0050] Specifically, it is built on the ThinkPHP framework, leveraging its mature and stable features and rich plugin ecosystem to quickly establish a business logic processing layer. Data is persistently stored using MySQL (a relational database), and it handles a large number of concurrent requests with high performance and reliability. User authentication is performed using JWT (an open standard) to ensure the security of API calls and the uniqueness of users. Front-end and back-end communication is conducted through RESTful APIs (Application Programming Interfaces), adhering to standard HTTP methods for resource operations. APIs return data in a unified JSON format, with error codes and message prompts to ensure efficient and standardized communication.

[0051] Interface design submodule 122: Design backend functional interfaces and perform full-process business logic processing;

[0052] Specifically, the backend functional interfaces include a user registration and login interface supporting WeChat authorization login, a job posting and query interface, a resume submission and management interface, an interview scheduling and status update interface, and an enterprise backend management interface. Based on each interface, the system handles frontend login and registration requests by listening for and processing them, writing new user data to the database during registration and sending verification results back to the frontend, thus implementing login and registration business logic. When processing job posting requests, the system verifies data integrity and writes job information to the database; when managing the job list, it queries and returns the user's job list and handles edit and delete requests; when scheduling interviews, it receives and stores interview scheduling information and handles edit and delete requests; and when processing resume viewing requests, it queries resumes by user ID and returns details, thus implementing recruitment business logic. The system also handles job postings. The system handles job search business logic by requesting and returning job data from the database, querying and returning job details by ID, parsing search parameters and performing database searches, and verifying resume data integrity before storing it in the database. It also handles interview business logic by receiving parameters, verifying permissions, and writing data to the database via an interview scheduling interface, pushing messages and creating records via an interview notification interface, receiving requests and updating records via a status update interface, and querying records by conditions with pagination support. Finally, it handles instant messaging business logic by maintaining client connection status and forwarding messages to specified users via a WebSocket (communication protocol) server, receiving message requests and broadcasting them to recipients, and processing add or delete requests and updating the user relationship table via a contact management service.

[0053] Database design module 13 stores user information, job information, resume data, interview records, and message data using MySQL;

[0054] Specifically, core tables conforming to database normalization are constructed using MySQL. These core tables include a user information table that records basic information about job seekers and enterprise users, a job information table that stores details of job postings published by enterprises, a resume information table that stores the resume content of job seekers, a table that associates users with job applications, and an interview arrangement table that records information such as interview time, method, and status. Each table is optimized with indexes to achieve efficient querying, supporting millions of data storage and ≥1000 concurrent user accesses. Based on the core tables, the system stores registration and login data by verifying whether the mobile phone number or account is registered and checking the correctness of the user's password or verification code during login, and by working with the backend to encrypt and store mobile phone numbers and passwords. It also stores recruitment data through the job information table (inserting, updating, and deleting job information), the resume information table (querying resume information), and the interview arrangement information table (storing interview arrangement data). Furthermore, it stores user resume data through the resume information table and job information table (inserting, updating, and deleting job information), and job application data through the job information table. Finally, it stores interview time, status, and method through the interview information table, notification record table (recording notification content and receipt status), and user relationship table (linking companies, job seekers, and positions). Finally, it stores instant messaging data through the conversation table (storing basic conversation information and the latest message summary), the user relationship table (recording user contact information), and the message record table (storing all chat messages).

[0055] Security mechanism design module 14 uses HTTPS protocol for encrypted transmission, combined with permission verification and input cleanup, to ensure data security throughout the entire process;

[0056] Specifically, security is ensured for registration and login data by using HTTPS encrypted transmission, filtering illegal characters to prevent SQL injection and XSS attacks, and protecting sensitive data such as encrypted password storage and anonymized mobile phone number display; security is ensured for recruitment and job application data by using HTTPS encrypted data transmission, access control, and authentication to ensure enterprise user operation permissions, and by input validation and filtering of illegal characters; security is ensured for interview data by using HTTPS encrypted communication, filtering illegal characters to prevent SQL injection and XSS attacks, and verifying user permissions; and security is ensured for instant messaging data by verifying user identity, encrypting message content transmission, and using HTTPS encrypted communication.

[0057] The permission allocation module 15 manages system permissions by clarifying role responsibilities, allocating data permissions, and combining security policies and log records.

[0058] Specifically, by clearly defining the roles and responsibilities of recruitment specialists, job applicants, department managers, and administrators, and defining core operations such as posting positions and submitting resumes, a clear division of user roles is achieved; function and data permissions are refined, the scope of operation and data access boundaries are clarified, and permissions for each role are accurately allocated; security measures are implemented based on two-factor authentication, IP whitelists, and password rules; user management is achieved through batch or individual role allocation, password reset, and information modification; and job postings, resume operations, and login logs are recorded to leave traces for auditing and problem investigation.

[0059] Example 2

[0060] like Figure 2 As shown in Embodiment 2 of this application, a recruitment service method based on a WeChat mini-program is provided. The method includes the following steps:

[0061] Step S1: Quickly log in and verify your identity via WeChat authorization. Once verified, you will be redirected to the main page.

[0062] Specifically, when a user opens a WeChat mini program, the front-end module calls WeChat's native authorization interface to obtain the user's unique identifier. The back-end module verifies the user's identity by entering their mobile phone number, verification code, or password, and generates a token for subsequent interface authentication, thus completing quick login without registration. The system displays a success or failure message for login. If successful, the user is redirected to the main page; if unsuccessful, the current page is retained for retry. At the same time, encrypted storage and access control ensure user data security.

[0063] Step S2: Based on user needs, users interact with recruitment and job search information;

[0064] Furthermore, based on user needs, user interaction with recruitment and job-seeking information includes the following sub-steps:

[0065] Step S21: Enterprise users post recruitment information, browse job seeker information, and perform recruitment operations;

[0066] Specifically, enterprise users can publish job postings containing information such as job title, salary range, work location, and job requirements through the backend interface, manage job lists, browse job seekers' resumes, and perform filtering, tagging, or downloading operations. The system updates the job list in real time and provides feedback on the operation results.

[0067] Step S22: Job seekers browse the job list, view job details, and submit their resumes to company users;

[0068] Specifically, job seekers can search by keywords, filter and browse job lists based on industry, salary, experience, and other criteria, view job details, fill in and submit their resumes online, and the system saves the submission record, provides feedback on successful resume submission, and updates the status of the submit button to "submitted".

[0069] Step S3: The enterprise user initiates an interview invitation, and the job seeker processes the interview invitation;

[0070] Furthermore, when an enterprise user initiates an interview invitation, the job seeker's processing of the interview invitation includes the following sub-steps:

[0071] Step S31: Enterprise users set the interview time and method and send interview invitations to job seekers;

[0072] Specifically, enterprise users can send interview invitations to job seekers who meet the recruitment requirements, and set the interview time and method, including video, voice, and offline methods. The system can also use WeChat template messages to push interview invitations to job seekers. Enterprise users can modify or cancel the interview arrangements, and the system records the operations and updates the interview status in real time.

[0073] Step S32: Job seekers receive interview invitations and provide feedback.

[0074] Specifically, after a job seeker receives an interview invitation, they can confirm their attendance or decline. The system will then update the interview status to "confirmed" or "declined". If it is a video interview, the system will call the native video component of the WeChat mini program to achieve a low-latency and highly stable video connection.

[0075] Step S4: Conduct real-time communication via WebSocket, send, receive, and view messages, and manage contacts;

[0076] Specifically, users can initiate or receive chat messages, view chat history, add or delete contacts, encrypt messages in real time and update the unread message count, and display message sending success or failure prompts.

[0077] Step S5: Manage job postings, resumes, and interviews through the backend management system, and record operation and login logs;

[0078] Specifically, enterprise users can use the web-based backend management system developed based on ThinkPHP to perform operations such as job review, resume management, and interview statistics. The system records user login logs, job creation, deletion, modification, and query records, as well as resume processing traces, and can export and visualize the data. At the same time, it ensures backend security through security policies such as IP whitelists and password rules.

[0079] Corresponding to the above embodiments, the present invention provides a computer storage medium, including: at least one memory and at least one processor;

[0080] The memory is used to store one or more program instructions;

[0081] A processor is used to run one or more program instructions to execute a recruitment service method based on a WeChat mini program.

[0082] Corresponding to the above embodiments, this embodiment of the invention provides a computer-readable storage medium containing one or more program instructions, which are used by a processor to implement a recruitment service method based on a WeChat mini-program.

[0083] The embodiments disclosed in this invention provide a computer-readable storage medium storing computer program instructions. When the computer program instructions are executed on a computer, the computer performs the aforementioned recruitment service method based on a WeChat mini-program.

[0084] In this embodiment of the invention, the processor can be an integrated circuit chip with signal processing capabilities. The processor can be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0085] The various methods, steps, and logic diagrams disclosed in the embodiments of this invention can be implemented or executed. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this invention can be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software modules can reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. The processor reads information from the storage medium and, in conjunction with its hardware, completes the steps of the above methods.

[0086] The storage medium can be memory, such as volatile memory or non-volatile memory, or may include both volatile and non-volatile memory.

[0087] Among them, non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory.

[0088] Volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous linked dynamic random access memory (Synchlink DRAM, SLDRAM), and direct memory bus RAM (DRRAM).

[0089] The storage media described in the embodiments of the present invention are intended to include, but are not limited to, these and any other suitable types of memory.

[0090] Those skilled in the art will recognize that, in one or more of the examples above, the functions described in this invention can be implemented using a combination of hardware and software. When applied as software, the corresponding functions can be stored in a computer-readable medium or transmitted as one or more instructions or code on a computer-readable medium. Computer-readable media include computer storage media and communication media, wherein communication media include any medium that facilitates the transmission of computer programs from one place to another. Storage media can be any available medium that can be accessed by a general-purpose or special-purpose computer.

[0091] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made on the basis of the technical solution of the present invention should be included within the scope of protection of the present invention.

Claims

1. A recruitment service platform based on WeChat mini-programs, characterized in that, include: The front-end module is built on Uniapp and Vue2 and runs in the WeChat Mini Program environment, providing user interface display and interaction. The backend module is built on the ThinkPHP framework and deployed on a Linux server environment. It responds to frontend requests through a RESTful API interface and handles business logic and data interaction. The database design module uses MySQL to store user information, job information, resume data, interview records, and message data. The security mechanism design module uses HTTPS protocol for encrypted transmission and combines permission verification and input cleanup to ensure data security throughout the entire process. The permission allocation module manages system permissions by clarifying role responsibilities, assigning data permissions, and combining security policies and log recording.

2. The recruitment service platform based on WeChat mini-program as described in claim 1, characterized in that, The front-end module specifically includes: The front-end design submodule builds the user interface based on the Uniapp and Vue2 frameworks, and uses third-party UI libraries to optimize interactive functions. The User Interaction and Data Communication submodule is used for the entire process of login and registration, recruitment management, job application, interview scheduling and instant messaging interface display and operation.

3. A recruitment service platform based on WeChat mini-programs as described in claim 1, characterized in that, The backend module specifically includes: The backend design submodule is built on the ThinkPHP framework, uses a MySQL database to store data, and communicates between the frontend and backend through a RESTful API. The interface design submodule designs backend functional interfaces and performs full-process business logic processing.

4. A recruitment service platform based on WeChat mini-programs as described in claim 1, characterized in that, The database design module specifically includes: building core tables that conform to database normalization using MySQL. These core tables include a user information table that records basic information about job seekers and company users, a job information table that stores details of job postings published by companies, a resume information table that stores the resume content of job seekers, a table that associates user and job application records, and an interview arrangement table that records interview time, method, and status information.

5. A recruitment service platform based on WeChat mini-programs as described in claim 1, characterized in that, The security mechanism design module specifically includes: ensuring the security of registration and login data by using HTTPS encrypted transmission, filtering illegal characters to prevent SQL injection and XSS attacks, and protecting sensitive data such as encrypted password storage and anonymized mobile phone number display; ensuring the operational permissions of enterprise users by using HTTPS encrypted data transmission, access control and authentication, and input validation and filtering of illegal characters to ensure the security of recruitment and job application data; ensuring the security of interview data by using HTTPS encrypted communication, filtering illegal characters to prevent SQL injection and XSS attacks, and verifying user permissions; and ensuring the security of instant messaging data by verifying user identity, encrypting message content transmission, and using HTTPS encrypted communication.

6. A recruitment service platform based on WeChat mini-programs as described in claim 1, characterized in that, The access control module specifically includes: clearly defining the roles and responsibilities of recruitment specialists, job applicants, department managers, and administrators; defining core operations such as posting positions and submitting resumes; refining function and data permissions; clarifying the scope of operations and data access boundaries; accurately allocating permissions to each role; implementing security measures based on two-factor authentication, IP whitelists, and password rules; enabling user management through batch or individual role allocation, password reset, and information modification; and recording job postings, resume operations, and login logs to retain traces for auditing and problem investigation.

7. A recruitment service method based on WeChat Mini Programs, characterized in that, include: Step S1: Quickly log in and verify your identity via WeChat authorization. Once verified, you will be redirected to the main page. Step S2: Based on user needs, users interact with recruitment and job search information; Step S3: The enterprise user initiates an interview invitation, and the job seeker processes the interview invitation; Step S4: Conduct real-time communication via WebSocket, send, receive, and view messages, and manage contacts; Step S5: Manage job postings, resumes, and interviews through the backend management system, and record operation and login logs.

8. The recruitment service method based on WeChat mini-program as described in claim 7, characterized in that, Based on user needs, the interaction of users with recruitment and job search information includes the following sub-steps: Step S21: Enterprise users post recruitment information, browse job seeker information, and perform recruitment operations; Step S22: Job seekers browse the job list, view job details, and submit their resumes to company users.

9. A recruitment service method based on WeChat mini-program as described in claim 7, characterized in that, When a business user initiates an interview invitation, the process of the job seeker handling the interview invitation includes the following sub-steps: Step S31: Enterprise users set the interview time and method and send interview invitations to job seekers; Step S32: Job seekers receive interview invitations and provide feedback.

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