Cloud recruitment method, system, platform, medium and equipment based on rational job-seeking assistance

Abstract

The invention provides a cloud recruitment method, system, platform, medium and equipment based on rational job-seeking assistance, and the method comprises the steps: preliminarily matching a target job seeker for an enterprise based on cloud recruitment, and building a recruitment relation between the job seeker and the enterprise; carrying out rational job-seeking assistance on the target job seeker; in the process that the target job seeker accepts the rational job-seeking assistance, the target job seeker selects whether to cancel the established recruitment relationship with the enterprise; wherein the rational job-seeking assistance at least comprises the following steps: assisting a target job seeker to enter a virtual workplace of an enterprise to carry out work experience; and / or, assisting the target job seeker in entering the virtual culture scene of the enterprise to quickly visit. The problem that the job seeker lacks rational decision making in the job seeking process is comprehensively and effectively solved, it is ensured that the job seeker can fully consider the actual work situation, enterprise culture and other deep factors during decision making, the key factors are prevented from being neglected, and then a series of negative influences are prevented from being brought to the job seeker and the enterprise.

Description

Technical Field

[0001] The present invention relates to the technical field of computer data processing, and particularly to a cloud recruitment method, system, platform, medium and device based on rational job hunting assistance. Background Art

[0002] The current cloud recruitment methods mainly rely on intelligent matching algorithms. By analyzing the matching degree between job seekers' resumes and enterprise recruitment requirements, corresponding support is provided for job seekers and enterprises.

[0003] However, this approach may lead to insufficient rational decision-making by job seekers during the job hunting process. Job seekers often make choices solely based on the superficial match between their resumes and job requirements, ignoring deeper factors such as the actual work situation expectations and corporate culture. If job seekers enter an enterprise in this situation, they may face significant adaptation challenges, which will in turn affect job satisfaction and even limit career development.

[0004] For enterprises, the irrational decision-making of job seekers may bring a series of negative consequences, not only significantly increasing recruitment costs, but also potentially weakening the overall work efficiency of the team.

[0005] Therefore, there is an urgent need for a more comprehensive and effective solution to help job seekers make more rational decisions, while ensuring that enterprises can find more suitable talents. Summary of the Invention

[0006] One of the objectives of the present invention is to provide a cloud recruitment method based on rational job hunting assistance. First, through the cloud recruitment platform, target job seekers are initially matched for enterprises. Subsequently, rational job hunting assistance is provided to the target job seekers to help them deeply experience the enterprise work environment and comprehensively understand the corporate culture. Finally, the job seekers are given the opportunity to make an independent choice to decide whether to continue the recruitment relationship with the enterprise. It comprehensively and effectively solves the problem of insufficient rational decision-making by job seekers during the job hunting process, ensuring that job seekers can fully consider deep factors such as the actual work situation and corporate culture when making decisions, avoiding ignoring these key elements, and thus avoiding a series of negative impacts on both job seekers and enterprises.

[0007] A cloud recruitment method based on rational job hunting assistance provided by an embodiment of the present invention includes: Based on cloud recruitment, initially match target job seekers for enterprises and establish a recruitment relationship between the job seekers and the enterprises; Provide rational job hunting assistance to the target job seekers; During the process of the target job seekers receiving rational job hunting assistance, allow the target job seekers to choose whether to invalidate the established recruitment relationship with the enterprise; Among them, the providing of rational job hunting assistance to the target job seekers includes at least: Assist the target job seeker to enter the virtual workplace of the enterprise for work experience; And / or, Assist the target job seeker to enter the virtual cultural scene of the enterprise for a quick overview.

[0008] Optionally, the assisting the target job seeker to enter the virtual workplace of the enterprise for work experience includes: When the weighted calculation sum of the progress and frequency of the target job seeker's most recent experience of the same first work item in the virtual workplace exceeds the threshold, perform a descriptive vector representation on the remaining progress content of the first work item and the feature distribution of the second work item not experienced by the target job seeker in the virtual workplace, to obtain a first descriptive vector; Match the set of experience level elements that match the first descriptive vector; Based on the set of experience level elements, create an experience level scene in the virtual workplace; Guide the target job seeker into the experience level scene; Based on the experience behavior information generated by the target job seeker in the experience level scene, decide the active interaction control time axis; Based on the active interaction control time axis, control the experience level scene to perform corresponding active interactions with the target job seeker.

[0009] Optionally, the deciding the active interaction control time axis based on the experience behavior information generated by the target job seeker in the experience level scene includes: Generate an experience behavior sequence based on the experience behavior information; Create a difficulty sequence; where the i-th difficulty in the difficulty sequence represents the degree of experience difficulty shown by the first i experience behaviors in the experience behavior sequence; the representative moment of the i-th difficulty in the difficulty sequence is the generation moment of the i-th experience behavior in the experience behavior sequence; i = 1, 2,..., N; N is the total number of experience behaviors in the equal experience behavior sequence and the total number of difficulties in the difficulty sequence; Based on the difficulty-time coordinate system, create a difficulty-time curve according to each difficulty in the difficulty sequence and their respective representative moments; Create a retrospective time interval; where the start moment of the retrospective time interval is the earliest moment among the representative moments of consecutive multiple peak difficulties on the difficulty-time curve, and the end moment is the latest moment among the representative moments of consecutive multiple peak difficulties on the difficulty-time curve; Perform a descriptive vector representation on the experience behaviors generated by the target job seeker within the retrospective time interval and the performance behaviors generated by the experience level scene within the retrospective time interval, to obtain a second descriptive vector; Match the active interaction control knowledge that matches the second descriptive vector; Based on the active interaction control knowledge, decide the active interaction control time axis.

[0010] Optionally, it is provided to assist the target job seeker to quickly view within the virtual cultural scene of the enterprise, including: When the target job seeker stays at the first viewing position in the virtual cultural scene for more than the threshold duration for the last time, if the target job seeker continuously switches from the current first viewing perspective to multiple second viewing perspectives and then switches back to the first viewing perspective, a viewing position change trigger condition is generated for the first relative position relationship between the second viewing position where the target job seeker stayed historically in the latest switched second viewing perspective and the first viewing position. When the target job seeker makes a viewing position change from the first viewing position to meet the viewing position change trigger condition, target content related to the second viewing content that is freely visible at the first viewing position in the virtual cultural scene is determined from the first viewing content when the target job seeker stayed historically at the second viewing position. Based on the target content, a content quick view interface is generated. All viewing position changes made by the target job seeker starting from the first viewing position are cancelled, so that the target job seeker can view the content quick view interface at the first viewing position.

[0011] Optionally, the viewing position change trigger condition at least includes: The similarity between the second relative position relationship between each of the multiple third viewing positions after the viewing position change exceeds the threshold number of times and the first viewing position and the first relative position relationship exceeds the similarity threshold.

[0012] Optionally, the generating of the content quick view interface based on the target content includes: Determine the partial content visible from the first viewing perspective from the second viewing content. Arrange the multiple sub - contents in the target content in the initial interface from top to bottom according to their relevance to the partial content from large to small to obtain the content quick view interface.

[0013] A cloud recruitment system based on rational job - seeking assistance provided by an embodiment of the present invention includes: A cloud recruitment module, configured to preliminarily match target job seekers for an enterprise based on cloud recruitment and establish a recruitment relationship between the job seekers and the enterprise. A rational job - seeking assistance module, configured to provide rational job - seeking assistance to the target job seekers. A relationship cancellation selection support module, configured to allow the target job seeker to select whether to cancel the established recruitment relationship with the enterprise during the process of the target job seeker receiving rational job - seeking assistance. Among them, the rational job - seeking assistance module providing rational job - seeking assistance to the target job seeker at least includes: Assist the target job seekers to enter the virtual workplace of the enterprise for work experience; And / or, Assist the target job seekers to enter the virtual cultural scene of the enterprise for a quick overview.

[0014] A cloud recruitment platform based on rational job hunting assistance provided by an embodiment of the present invention, wherein the cloud recruitment platform uses the method described in any one of the above to conduct cloud recruitment.

[0015] A computer-readable storage medium provided by an embodiment of the present invention, on which a computer program is stored, and a processor executes the computer program to implement the method described in any one of the above.

[0016] An electronic device provided by an embodiment of the present invention, the electronic device includes a memory and a processor, a computer program is stored in the memory, and the processor executes the computer program to implement the method described in any one of the above.

[0017] Other features and advantages of the present invention will be described in the following specification, and part of them will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in the written specification and the drawings.

[0018] The technical solutions of the present invention will be further described in detail below through the drawings and embodiments. Description of the Drawings

[0019] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the present invention, and do not constitute a limitation to the present invention. In the drawings: Figure 1 It is a schematic diagram of a cloud recruitment method based on rational job hunting assistance in an embodiment of the present invention; Figure 2 It is a schematic diagram of a cloud recruitment system based on rational job hunting assistance in an embodiment of the present invention. Detailed Embodiments

[0020] The following describes the preferred embodiments of the present invention with reference to the drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0021] Embodiment 1: An embodiment of the present invention provides a cloud recruitment method based on rational job hunting assistance, as Figure 1 shown, including: S1. Based on cloud recruitment, initially match target job seekers for the enterprise and establish a recruitment relationship between the job seekers and the enterprise; S2. Provide rational job - seeking assistance to the target job - seeker; S3. During the process of the target job - seeker receiving rational job - seeking assistance, offer the target job - seeker the option to invalidate the established recruitment relationship with the enterprise; Among them, the step of S2, providing rational job - seeking assistance to the target job - seeker, at least includes: Assist the target job - seeker to enter the virtual workplace of the enterprise for work experience; And / or, Assist the target job - seeker to enter the virtual cultural scene of the enterprise for a quick overview.

[0022] First, based on cloud recruitment, use indicators such as cosine similarity and Jaccard similarity to analyze the matching degree between the job - seeker's resume and the enterprise's recruitment requirements. Take the corresponding job - seekers whose matching degree exceeds the matching degree threshold (such as 90%) as target job - seekers. The established recruitment relationship represents that the target job - seekers initially meet the enterprise's recruitment requirements.

[0023] Next, provide rational job - seeking assistance to the target job - seeker, at least including two ways: entering the virtual workplace for work experience and entering the virtual cultural scene for a quick overview. The virtual workplace is a virtual scene for simulating the work after personnel enter the enterprise's recruitment positions, and the target job - seeker can conduct work experience in it. The virtual cultural scene is set with content information related to the enterprise's corporate culture, and the target job - seeker can deeply understand the enterprise's corporate culture in it.

[0024] Finally, through receiving rational job - seeking assistance, the target job - seeker can deeply and rationally analyze whether they are suitable for the work required by the enterprise's recruitment, and then choose whether to invalidate the established recruitment relationship with the enterprise. If not invalidated, push the target job - seeker to the enterprise.

[0025] This application first initially matches target job - seekers for the enterprise through the cloud recruitment platform, then provides rational job - seeking assistance to the target job - seekers to help them deeply experience the enterprise's working environment and comprehensively understand the enterprise's corporate culture. Finally, give job - seekers the opportunity to make their own choices and decide whether to continue the recruitment relationship with the enterprise. It comprehensively and effectively solves the problem that job - seekers lack rational decision - making in the job - seeking process, ensures that job - seekers can fully consider deep - level factors such as the actual situation of the work and the corporate culture when making decisions, avoids ignoring these key elements, and thus avoids bringing a series of negative impacts to both job - seekers and enterprises.

[0026] Specifically, smart contracts can be used for data communication between enterprises and job - seekers.

[0027] The authorized institution can call the issuance voucher to issue academic or work experience vouchers for individuals. When issuing, necessary data (such as, type of education, major, graduating institution, working company, position, start and end times, etc.) and the personal Ethereum address of the recipient of the voucher need to be provided. The specific voucher issuance contract code is as follows: pragma solidity ^0.8.0; contract CredentialIssuanceContract { / / List of addresses of authorized voucher issuance institutions mapping(address => bool) public authorizedIssuers; / / Voucher structure struct Credential { CredentialType credentialType; / / Voucher type (education / work experience) address issuer; / / Issuing institution address bytes credentialData; / / Voucher data (JSON format or other structured data) uint256 issueTime; / / Issuing time bool isRevoked; / / Whether it has been revoked } / / Voucher type enumeration enum CredentialType { EDUCATION, WORK_EXPERIENCE} / / Voucher ID auto-increment counter uint256 public credentialCounter; / / Store voucher information, voucher ID => voucher structure mapping(uint256 => Credential) public credentials; / / Event: Voucher issued event CredentialIssued( uint256 credentialId, CredentialType credentialType, address recipient, address issuer ); / / Event: Credential Revocation event CredentialRevoked(uint256 credentialId, address issuer); / / Address of the contract deployer, acting as the administrator address public admin; constructor() { admin = msg.sender; authorizedIssuers[msg.sender] = true; / / The address that deploys the contract is defaulted to an authorized issuer } / / Set the authorized issuer function setAuthorizedIssuer(address _issuer, bool _isAuthorized)public onlyAdmin { authorizedIssuers[_issuer] = _isAuthorized; } / / Issue a credential function issueCredential( CredentialType _credentialType, address _recipient, bytes memory _credentialData / / Stored using bytes, can be more refined in actual applications ) public onlyAuthorizedIssuer { credentialCounter++; / / Increment the credential ID uint256 credentialId = credentialCounter; credentials[credentialId] = Credential({ credentialType: _credentialType, issuer: msg.sender, credentialData: _credentialData, issueTime: block.timestamp, isRevoked: false }); emit CredentialIssued(credentialId, _credentialType, _recipient, msg.sender); / / TODO: Here you can add logic, such as automatically calling the receiving contract or notifying the user of receiving the credential through an event } / / Revoke the credential function revokeCredential(uint256 _credentialId) public onlyAuthorizedIssuer { require(credentials[_credentialId].issuer == msg.sender, "You are not the issuer of this credential."); require(!credentials[_credentialId].isRevoked, "Credential already revoked."); credentials[_credentialId].isRevoked = true; emit CredentialRevoked(_credentialId, msg.sender); } / / Modifier: Only the administrator can call modifier onlyAdmin() { require(msg.sender == admin, "Only admin can call this function."); _; } / / Modifier: Only the authorized issuer can call modifier onlyAuthorizedIssuer() { require(authorizedIssuers[msg.sender], "You are not an authorized issuer."); _; } } Secondly, each user can have an instance of their own credential management contract, which is used to perform the following functions: Receive Credentials: The user calls this function to receive credentials issued by the authorized institution. The credential data will be stored in the user's contract, and the receipt information of the credentials will be recorded through an event.

[0028] Authorize Viewing: The user can authorize a specific third party (e.g., a recruitment company) to view their credential information within a certain period of time. The authorization information is also recorded on the chain.

[0029] Revoke Authorization: The user can revoke the granted viewing authorization at any time.

[0030] Query Credentials: The user can query the list and detailed information of the credentials they own.

[0031] The specific code of the user credential management contract is as follows: pragma solidity ^0.8.0; contract UserCredentialManagementContract { / / User address address public owner; / / List of received credential IDs uint256[] public credentialIds; / / Record of authorization to view, authorized object address => credential ID => authorization expiration time mapping(address => mapping(uint256 => uint256)) public authorizations; / / Event: Credential received event CredentialReceived(uint256 credentialId, address issuer); / / Event: Credential viewing authorization event AuthorizationGiven(uint256 credentialId, address authorizedViewer, uint256 expirationTime); / / Event: Revocation of Credential Viewing Authorization event AuthorizationRevoked(uint256 credentialId, address authorizedViewer); constructor() { owner = msg.sender; / / The contract deployer is the user himself } / / Receive a credential function receiveCredential(uint256 _credentialId, address _issuer) public { credentialIds.push(_credentialId); emit CredentialReceived(_credentialId, _issuer); } / / Authorize viewing of a credential function authorizeViewing(uint256 _credentialId, address _authorizedViewer, uint256 _expirationDurationSeconds) public onlyOwner { uint256 expirationTime = block.timestamp + _expirationDurationSeconds; authorizations[_authorizedViewer][_credentialId] = expirationTime; emit AuthorizationGiven(_credentialId, _authorizedViewer, expirationTime); } / / Revoke the authorization to view a credential function revokeAuthorization(uint256 _credentialId, address _authorizedViewer) public onlyOwner { delete authorizations[_authorizedViewer][_credentialId]; / / Delete the authorization record emit AuthorizationRevoked(_credentialId, _authorizedViewer); } / / Query whether the viewer has been authorized to view the credential function isAuthorizedViewer(uint256 _credentialId, address _viewer) public view returns (bool) { return authorizations[_viewer][_credentialId] > block.timestamp; / / If the authorization expiration time is greater than the current time, it is a valid authorization } / / Modifier: Only the contract owner (user) can call modifier onlyOwner() { require(msg.sender == owner, "Only contract owner can call this function."); _; } } Example 2: When the target job seeker has a work experience in the virtual workplace, they usually need to independently select and operate the work content they want to experience. However, due to the large number of available work contents, this often reduces the efficiency of the job seeker to evaluate whether they are suitable to continue applying for jobs in the enterprise through the virtual workplace experience. In addition, the way the job seeker independently selects and operates the experience content may lead to insufficient accuracy in judging whether they are suitable to continue applying for jobs, and even may result in misjudgment.

[0032] Therefore, to address the above deficiencies, in one embodiment, assisting the target job seeker to enter the virtual workplace of the enterprise for work experience includes: When the weighted calculation sum of the progress and frequency of the target job seeker's most recent experience of the same first work item in the virtual workplace exceeds the threshold, a description vector representation is performed on the remaining progress content of the first work item and the feature distribution of the second work item that the target job seeker has not experienced in the virtual workplace, and a first description vector is obtained; Match the set of experience level elements that match the first description vector; Based on the set of experience level elements, create an experience level scenario in the virtual workplace; Guide the target job seeker into the experience level scenario; Based on the experience behavior information generated by the target job seeker in the experience level scenario, decide the active interaction control timeline; Based on the active interaction control timeline, control the experience level scenario to actively interact with the target job seeker accordingly.

[0033] In the virtual workplace, technologies such as digital twins can be used to three-dimensionally restore the enterprise's working environment, and multiple work items can be set in combination with the work content of the actual job positions in the enterprise.

[0034] The first work item is the work content that the target job seeker most recently experienced in the virtual workplace. The progress is the current progress of experiencing this work content, and the frequency is the number of times of experiencing this work content within the current unit of time (such as 1 minute). The formula for the weighted calculation sum of the two is: , where is the weighted calculation sum, is the progress, is the frequency, and are preset weight values. The threshold is a value representing a relatively large weighted calculation sum. When the weighted calculation sum exceeds the threshold, it means that the target job seeker is focused on the experience of the first work item and subjectively more wants to continue the experience. At this time, it is the best time to actively interact with him / her.

[0035] The remaining progress content refers to the unfinished part of the target job seeker after completing the first work item, while the second work item refers to other work content that the target job seeker has not experienced in the virtual workplace. The characteristic distribution of the second work item at least includes the type of work content, the amount of work content, etc. By converting the remaining progress content and its characteristic distribution into vector form, a first description vector is formed. The vector is pre-set with a matching set of experience level elements. The experience level element set contains multiple remaining progress contents represented as the first description vector and elements of the current appropriate experience level scenario represented by the characteristic distribution. For example, if the remaining progress content is software interface simulation design and the characteristic distribution is introducing products to customers for half an hour, etc., then the experience level elements in the experience level element set matching the first description vector include the level type (such as demonstrating ability and introducing to customers), task content (such as conducting a software interface design demonstration and introducing products), task priority (such as high), and task difficulty (such as intermediate). Based on this experience level element set, an experience level scenario can be created in the virtual workplace, enabling the experience level scenario to set an experience level for the target job seeker by comprehensively considering the remaining progress content and the characteristic distribution, and helping the target job seeker quickly evaluate whether they are suitable to continue applying for jobs in the enterprise through the experience level scenario.

[0036] In the experience level scenario, the target job seeker will generate a series of experience behavior information, at least including performance behavior and operation information, etc. Based on their decision, an active interaction control timeline is used to indicate how to control the active interaction between the experience level scenario and the target job seeker in a future period of time, enabling the target job seeker to further quickly evaluate whether they are suitable to continue applying for jobs in the enterprise through the experience level scenario.

[0037] In the embodiment of the present invention, an experience level scenario is created, and an active interaction control timeline is determined. Based on the active interaction control timeline, the experience level scenario is controlled to actively interact with the target job seeker accordingly, helping the target job seeker quickly evaluate whether they are suitable to continue applying for jobs in the enterprise through the experience level scenario controlled by the active interaction control timeline, greatly improving the efficiency of the target job seeker in evaluating whether they are suitable to continue applying for jobs in the enterprise; secondly, the creation of the experience level scenario is targeted at the remaining progress content of the first work item and the characteristic distribution of the second work item that the target job seeker has not experienced in the virtual workplace, and the decision of the active interaction control timeline is based on the experience behavior information generated by the target job seeker in the experience level scenario, greatly ensuring the accuracy of the target job seeker in evaluating whether they are suitable to continue applying for jobs in the enterprise through the experience level scenario controlled by the active interaction control timeline and avoiding misjudgment.

[0038] Embodiment 3: In one embodiment, the decision of the active interaction control time axis based on the experience behavior information generated by the target job seeker in the experience level scenario includes: Generate an experience behavior sequence based on the experience behavior information; Create a difficulty sequence; where the i-th difficulty in the difficulty sequence represents the degree of experience difficulty shown by the first i experience behaviors in the experience behavior sequence; the representative moment of the i-th difficulty in the difficulty sequence is the generation moment of the i-th experience behavior in the experience behavior sequence; i = 1, 2,..., N; N is the total number of experience behaviors in the equal experience behavior sequence and the total number of difficulties in the difficulty sequence; Based on the difficulty-time coordinate system, create a difficulty-time curve according to each difficulty in the difficulty sequence and its respective representative moment; Create a retrospective time interval; where the start moment of the retrospective time interval is the earliest moment among the representative moments of consecutive multiple peak difficulties on the difficulty-time curve, and the end moment is the latest moment among the representative moments of consecutive multiple peak difficulties on the difficulty-time curve; Perform a description vector representation on the experience behaviors generated by the target job seeker within the retrospective time interval and the performance behaviors generated by the experience level scenario within the retrospective time interval to obtain a second description vector; Match the active interaction control knowledge of the second description vector; Based on the active interaction control knowledge, decide the active interaction control time axis.

[0039] Sort the multiple experience behaviors in the experience behavior information according to the sequence of their respective generation times to obtain an experience behavior sequence. The degree of experience difficulty shown by the experience behavior is, for example: if multiple experience behaviors reflect that the target job seeker cannot complete the work in the experience level scenario, the degree of experience difficulty is relatively high, which is 20. The total number of experience behaviors in the experience behavior sequence is equal to the total number of difficulties in the difficulty sequence. The difficulty-time coordinate system is a two-dimensional coordinate system, with the horizontal axis being time and the vertical axis being difficulty. The created difficulty-time curve reflects the change in the degree of experience difficulty of the target job seeker in the experience level scenario.

[0040] When a target job seeker has experienced multiple peaks of difficulty historically, their inner struggle is most intense when deciding whether to continue applying to the company during this period. Therefore, multiple consecutive peak difficulty stages are the most suitable critical moments for determining how to actively interact with the target job seeker. During this stage, by determining the earliest and latest moments of these peak difficulties, a retrospective time interval can be constructed. Within this retrospective time interval, the experience behaviors of the target job seeker and the performance behaviors of the experience checkpoint scenarios are traced to form a second description vector. The second description vector is matched with the pre-set active interaction control knowledge to guide how to decide the time axis of active interaction control. Finally, based on this, the time axis of active interaction control is decided. Specifically, for example: the experience behavior generated by the target job seeker within the retrospective time interval is showing a flustered emotion when facing the work content, etc., and the performance behavior generated by the experience checkpoint scenario within the retrospective time interval is continuously outputting work requirements. Then, the active interaction control knowledge matched by the second description vector is to provide emotional guidance, reduce the task burden, give clear task instructions within the next 3 minutes to help them regain calm, and choose to break down the task and gradually present the task requirements to help the job seeker better understand and execute. When deciding the time axis of active interaction control, matters such as providing emotional guidance, reducing the task burden, and giving clear task instructions are set within the 3-minute time period on the time axis.

[0041] In the embodiment of the present invention, a difficulty sequence is created based on the degree of existing experience difficulties shown by different parts of the experience behavior sequence, etc. Based on this, a difficulty-time curve is created to quickly determine the retrospective time interval most suitable for tracing experience behaviors and performance behaviors, greatly improving the efficiency and accuracy of active interaction control decision-making and reducing the use of retrospective resources; secondly, the active interaction control knowledge that matches the second description vector is used to decide the time axis of active interaction control based on the active interaction control knowledge, greatly improving the accuracy and comprehensiveness of the time axis decision of active interaction control.

[0042] Embodiment 4: When a target job seeker enters the virtual cultural scene, they will constantly move to view different corporate culture information. However, when viewing new content, they may want to view it in combination with the content viewed historically. At this time, the target job seeker needs to return to the position of the corresponding content viewed historically and then return to the position of the current new content being viewed, which is very cumbersome.

[0043] Therefore, to address the above deficiencies, in one embodiment, assisting the target job seeker to enter the virtual cultural scene of the enterprise for a quick overview includes: When the target job seeker stays at the first viewing position in the virtual cultural scene for a duration exceeding the threshold, if the target job seeker continuously switches from the current first viewing perspective to multiple second viewing perspectives and then switches back to the first viewing perspective, a viewing position change trigger condition is generated based on the first relative position relationship between the second viewing position where the target job seeker's historical stay ended and the first viewing position in the latest second viewing perspective switched to by the target job seeker. When the target job seeker makes a viewing position change from the first viewing position to meet the viewing position change trigger condition, target content related to the second viewing content that is freely visible from the first viewing position in the virtual cultural scene is determined from the first viewing content when the target job seeker historically stayed at the second viewing position. Based on the target content, a content quick view interface is generated. All the viewing position changes made by the target job seeker starting from the first viewing position are revoked, allowing the target job seeker to view the content quick view interface at the first viewing position. Among them, the viewing position change trigger condition at least includes: The similarity between the second relative position relationships between each of the multiple third viewing positions after the viewing position changes exceed the threshold number of times and the first viewing position and the first relative position relationship exceeds the similarity threshold.

[0044] The virtual cultural scene is a three-dimensional virtual space, where information columns for displaying corporate culture are set at different positions.

[0045] The first viewing position is a position in the virtual cultural scene for viewing corporate culture content. The threshold duration can be, for example, 20 seconds. When the target job seeker stays at the first viewing position in the virtual cultural scene for a duration exceeding the threshold, it indicates that the target job seeker wants to carefully view the corresponding corporate culture content at the first viewing position. At this time, if the target job seeker wants to view in combination with the content viewed historically, the target job seeker will continuously switch from the current first viewing perspective to multiple second viewing perspectives. If it is found that the content the target job seeker wants to view in combination cannot be seen from each of the second viewing perspectives, and then the target job seeker switches back to the first viewing perspective. At this time, it can be confirmed that the target job seeker wants to view in combination with the content viewed historically. The next step is to determine the specific content the target job seeker wants to view in combination.

[0046] The second viewing perspective switched to latest is the last viewing perspective that the target job seeker adjusts the perspective to view the corresponding jointly viewed content, which reflects the general area that the target job seeker wants to view the corresponding jointly viewed content. Therefore, based on the first relative position relationship between the second viewing position where the target job seeker's history landed and stayed and the first viewing position in the second viewing perspective switched to latest, a viewing position change trigger condition is generated. When the target job seeker starts to change the viewing position from the first viewing position to meet the viewing position change trigger condition, it is confirmed that the specific content he wants to jointly view is in the first viewing content when his history landed and stayed at the second viewing position. Therefore, determine the target content related to the second viewing content that is freely visible from the first viewing position in the virtual cultural scene (related means the similarity or consistency in theme, information, context or intention between the contents) from the first viewing content when the target job seeker's history landed and stayed at the second viewing position. Freely visible means the content that the target job seeker can view by freely adjusting the perspective at the first viewing position. Based on the target content, a content quick view interface is generated, and all the viewing position changes made by the target job seeker starting from the first viewing position are cancelled, so that the target job seeker can view the content quick view interface at the first viewing position, and he does not need to return to the position of the corresponding content viewed in history and then return to the position of the new content being viewed currently, which greatly improves the convenience.

[0047] In the viewing position change trigger condition, the threshold number of times can be, for example, 2, and the similarity threshold can be, for example, 75%. When the similarity between the second relative position relationships between each of the multiple third viewing positions after the viewing position changes exceed the threshold number of times and the first relative position relationship with the first viewing position all exceeds the similarity threshold, it indicates that the specific content that the target job seeker wants to jointly view is in the first viewing content when his history landed and stayed at the second viewing position.

[0048] In the embodiment of the present invention, when the target job seeker hopes to review the historical information related to the currently viewed content, the system can automatically identify his viewing behavior pattern, accurately infer the content he wants to jointly view, and provide a content quick view interface. It avoids the cumbersome manual return to the historical position, saves the time of the job seeker, and improves the operation efficiency. In addition, with the help of the viewing position change trigger condition, the system can accurately confirm the needs of the target job seeker, enabling him to quickly access the relevant corporate culture content without switching positions multiple times. It greatly optimizes the information viewing experience in the virtual recruitment environment and helps to improve the target job seeker's understanding and interest in the corporate culture.

[0049] Embodiment 5: In one embodiment, the generating a content quick view interface based on the target content includes: Determine the partial content visible from the first viewing perspective from the second viewing content; Arrange multiple sub - contents in the target content in descending order of their respective relevance to the local content from top to bottom in the initial interface to obtain a content quick - view interface.

[0050] The initial interface is a blank interface for content setting. Arrange multiple sub - contents in the target content in descending order of their respective relevance to the local content from top to bottom in the initial interface, so that when the target job seeker views the content quick - view interface, they can preferentially view more relevant content. Relevance refers to the degree of similarity or consistency in theme, information, context, or intention between contents.

[0051] An cloud recruitment system based on rational job - seeking assistance provided by an embodiment of the present invention, as Figure 2 shown, includes: A cloud recruitment module 1, used for initially matching target job seekers for enterprises based on cloud recruitment and establishing a recruitment relationship between job seekers and enterprises; A rational job - seeking assistance module 2, used for providing rational job - seeking assistance to target job seekers; A relationship cancellation selection support module 3, used for allowing target job seekers to choose whether to cancel the established recruitment relationship with enterprises during the process of target job seekers receiving rational job - seeking assistance; Among them, the rational job - seeking assistance module provides rational job - seeking assistance to target job seekers, including at least: Assisting the target job seeker to enter the virtual workplace of the enterprise for work experience; And / or, Assisting the target job seeker to enter the virtual cultural scene of the enterprise for a quick view.

[0052] A cloud recruitment platform based on rational job - seeking assistance provided by an embodiment of the present invention, and the cloud recruitment platform uses the method described in any one of the above to conduct cloud recruitment.

[0053] A computer - readable storage medium provided by an embodiment of the present invention, on which a computer program is stored, and a processor executes the computer program to implement the method described in any one of the above.

[0054] An electronic device provided by an embodiment of the present invention, the electronic device includes a memory and a processor, a computer program is stored in the memory, and the processor executes the computer program to implement the method described in any one of the above.

[0055] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention also intends to include these changes and modifications.

Claims

1. A cloud recruitment method based on rational job search assistance, characterized in that: include: Based on cloud recruitment, we can initially match target job seekers for enterprises and establish recruitment relationships between job seekers and enterprises; Provide rational job search assistance to target job seekers; In the process of the target job seeker receiving rational job search assistance, the target job seeker can choose whether to cancel the recruitment relationship established with the enterprise; Wherein, the rational job search assistance for the target job seeker at least includes: Assist target job seekers to enter the company's virtual workplace for work experience; and / or, Assist target job seekers to take a quick look at the company's virtual cultural scene.

2. The cloud recruitment method based on rational job search assistance as claimed in claim 1, characterized in that: The assisting target job seekers to enter the virtual workplace of the enterprise for work experience includes: When the weighted sum of the progress and frequency of the target job seeker's most recent experience of the same first work item in the virtual workplace exceeds a threshold, a description vector is used to represent the remaining progress content of the first work item and the feature distribution of the second work item that the target job seeker has not experienced in the virtual workplace, thereby obtaining a first description vector; a set of experience level elements matching the first description vector; Create experience level scenes in the virtual workplace based on the experience level element set; Guide target job seekers into the experience level scene; Based on the experience behavior information generated by the target job seeker in the experience level scene, make decisions to actively interact and control the timeline; Based on the active interaction control timeline, the experience level scene is controlled to actively interact with the target job seekers accordingly.

3. The cloud recruitment method based on rational job search assistance as claimed in claim 2, characterized in that: The decision-making of active interactive control timeline based on the experience behavior information generated by the target job seeker in the experience level scene includes: Based on the experience behavior information, generate an experience behavior sequence; Create a difficulty sequence; wherein the i-th difficulty in the difficulty sequence represents the degree of difficulty of the experience indicated by the first i experience behaviors in the experience behavior sequence; the representative moment of the i-th difficulty in the difficulty sequence is the moment when the i-th experience behavior in the experience behavior sequence is generated; i=1,2,…,N; N is the total number of experience behaviors in the experience behavior sequence and the total number of difficulties in the difficulty sequence; Based on the difficulty-time coordinate system, create a difficulty-time curve according to each difficulty in the difficulty sequence and their respective representative moments; Create a retroactive time interval; the start time of the retroactive time interval is the earliest time among the representative times of the consecutive peak difficulties on the difficulty-time curve, and the end time is the latest time among the representative times of the consecutive peak difficulties on the difficulty-time curve; The experience behavior of the target job seeker during the retrospective time interval and the performance behavior of the experience level scene during the retrospective time interval are represented by a description vector to obtain a second description vector; Active interactive control knowledge matching the second description vector; Based on the active interactive control knowledge, the active interactive control timeline is decided.

4. The cloud recruitment method based on rational job search assistance as claimed in claim 1, characterized in that: The assisting target job seekers to enter the virtual cultural scene of the enterprise for a quick overview includes: When the target job seeker's last stop at the first browsing position in the virtual cultural scene exceeds a threshold time, if the target job seeker switches from the current first browsing perspective to multiple second browsing perspectives in succession, and then switches back to the first browsing perspective, a browsing position change trigger condition is generated based on a first relative position relationship between the second browsing position where the target job seeker has historically stopped and stayed in the second browsing perspective to which the target job seeker has switched the latest and the first browsing position; When the target job seeker changes his browsing position from the first browsing position to a browsing position change triggering condition, the target content related to the second browsing content freely visible at the first browsing position in the virtual cultural scene is determined from the first browsing content when the target job seeker historically stops at the second browsing position; Generate a quick overview interface based on the target content; All browsing position changes made by the target job seeker from the first browsing position are canceled, so that the target job seeker can view the content quick view interface at the first browsing position.

5. The cloud recruitment method based on rational job search assistance as claimed in claim 4, characterized in that: The browsing position change triggering condition at least includes: After the browsing positions are changed more than the threshold number of times, the similarities between the second relative position relationship between each of the plurality of third browsing positions and the first browsing position and the first relative position relationship all exceed the similarity threshold.

6. The cloud recruitment method based on rational job search assistance as claimed in claim 4, characterized in that: The generating of a content quick view interface based on the target content includes: Determining, from the second browsing content, partial content visible from the first browsing perspective; Arrange multiple sub-contents in the target content from top to bottom in the initial interface according to their relevance to the local content from large to small, to obtain a content quick-view interface.

7. A cloud recruitment system based on rational job search assistance, characterized in that: include: Cloud recruitment module, which is used to preliminarily match target job seekers for enterprises based on cloud recruitment and establish recruitment relationships between job seekers and enterprises; Rational job search assistance module, used to provide rational job search assistance to target job seekers; The relationship cancellation selection support module is used to allow the target job seeker to choose whether to cancel the recruitment relationship established with the enterprise during the process of the target job seeker receiving rational job search assistance; The rational job-hunting assistance module provides rational job-hunting assistance to the target job seeker, which at least includes: Assist target job seekers to enter the company's virtual workplace for work experience; and / or, Assist target job seekers to take a quick look at the company's virtual cultural scene.

8. A cloud recruitment platform based on rational job search assistance, characterized in that: The cloud recruitment platform uses the method described in any one of claims 1-6 to perform cloud recruitment.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the processor executes the computer program to implement the method according to any one of claims 1 to 6.

10. An electronic device, characterized in that: The electronic device comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the method according to any one of claims 1 to 6.

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