CN-121979894-A - Anti-collision talent data reconstruction method for resume editing in recruitment system

CN121979894ACN 121979894 ACN121979894 ACN 121979894ACN-121979894-A

Abstract

The invention discloses an anti-collision and talent data reconstruction method for resume editing in a recruitment system, which comprises the steps of receiving an editing request of a target resume and judging whether a mark change event is triggered or not; when the detection result meets the preset sensitive state condition, generating a flow interrupt instruction and a manual arbitration request, suspending the flow, calling a unified data synchronization engine to carry out atomization synchronization and consistency check, and recording a full-flow operation log to generate a traceable transaction execution chain. The resume editing operation is placed in the context of the dynamic recruitment process to perform conflict detection and arbitration, so that the problem that the dynamic business process is interfered due to static data operation is fundamentally avoided, the business safety and integrity of the recruitment process are guaranteed, process interruption and attribution errors are prevented, and the intelligent and automatic level of resume management is improved through an automatic detection-strategic processing pipeline.

Inventors

LIU YUN
CHEN SHUYUAN
Chen Qiaole
LIU JUN
CAO WEI

Assignees

福建朴朴信息技术有限公司

Dates

Publication Date: 20260505
Application Date: 20251226

Claims (10)

1. A method for preventing conflict and reconstructing talent data for resume editing in a recruitment system is characterized by comprising the following steps: receiving an editing request of a target resume, wherein the editing request comprises resume data fields to be updated; Analyzing resume data fields to be updated based on a preset core identity identification rule, and judging whether the editing request triggers an identification change event or not; if the identifier change event is triggered, based on a recruitment process state database, carrying out conflict detection on the dynamic process state of at least one candidate associated with the edited identity identifier, wherein the dynamic process state comprises a process stage state and a responsible person attribution state; When the conflict detection result meets the preset sensitive state condition, generating a flow interrupt instruction and a manual arbitration request, and suspending an associated recruitment flow; when the conflict detection result does not meet the preset sensitive state condition, a corresponding data reconstruction strategy execution module is called according to the existence judgment result of the edited identity mark in the talent database; Executing, by the data reconstruction policy execution module, a corresponding operation, including: if the edited identity mark is judged to correspond to the existing talent record, executing talent merging and data migration operation; if the edited identity mark is judged to have no corresponding talent record, executing a new talent record creation and association operation; After the data reconstruction policy execution module is executed, a unified data synchronization engine is called, and the association relationship among the resume entity, the talent entity and the candidate entity is subjected to atomization synchronization and consistency verification; And after the identification change event is triggered, generating a traceable transaction execution chain from conflict detection to complete data synchronization of the full-flow operation log.
2. The method for anti-collision and talent data reconstruction for resume editing in a recruitment system according to claim 1, wherein analyzing resume data fields to be updated based on a preset core identity rule, determining whether the edit request triggers an identity change event comprises: extracting resume data fields to be updated from the editing request, and classifying the resume data fields to be updated into core identity identification fields and non-core information fields based on preset field mapping rules; The current value of the core identity field is subjected to consistency comparison with the original value of the core identity field corresponding to the original talent record associated with the target resume, which is stored in a talent database, so that a consistency comparison result is obtained; And when the consistency comparison result shows that the current value of at least one core identity field is inconsistent with the original value, judging to trigger the identification change event, and generating an identification change event object containing identification values before and after the change.
3. The method of claim 1, wherein the step of performing collision detection on the dynamic process state of the at least one candidate associated with the edited identity based on the recruitment process state database comprises: searching all associated candidate records from the recruitment process state database according to the edited identity, and extracting dynamic process state metadata corresponding to each candidate record; inputting the dynamic flow state metadata into a preset state rule engine, wherein a sensitive state judgment rule set logically bound with recruitment business flows is preset in the state rule engine; executing at least one rule in the sensitive state judgment rule set in parallel through the state rule engine, and carrying out logic evaluation on the dynamic flow state recorded by each candidate; Summarizing rule evaluation results recorded by all candidates, judging that the conflict detection result meets the preset sensitive state condition when the evaluation result recorded by any candidate meets the corresponding sensitive state judgment rule, and generating a conflict detection result containing a specific conflict rule and a conflict candidate identifier.
4. A method for collision avoidance and talent data reconstruction for resume editing in a recruitment system according to claim 3 wherein executing at least one rule of said set of sensitive state decision rules in parallel by said state rule engine logically evaluates the dynamic flow state of each candidate record comprising: Loading the metadata of the dynamic flow state into a working memory of a rule engine to serve as a fact object; Activating at least one rule execution unit matched with the current service scene from the sensitive state judgment rule set, wherein each rule execution unit encapsulates an independent service conflict judgment logic; Driven by an inference engine of the state rule engine, enabling the at least one rule execution unit to conduct parallel mode matching and logic inference based on the fact object, wherein each rule execution unit independently outputs a Boolean evaluation result and an associated rule identifier; and collecting the evaluation results output by all the activated rule execution units, and generating a rule hit set for each candidate record, wherein the rule hit set records the rule identification triggered to be true and the evaluation details thereof.
5. The method of claim 1, wherein generating a process interrupt instruction and a manual arbitration request and suspending an associated recruitment process comprises: Generating a flow interruption instruction containing conflict details, an associated candidate identifier and original editing request information according to the conflict detection result; Transmitting the flow interrupt instruction to a recruitment flow status management module, wherein the recruitment flow status management module is used for marking the status of the associated recruitment flow as suspended and preventing any status pushing operation for the recruitment flow in response to the instruction; The method comprises the steps of synchronizing, based on conflict details and associated candidate identifiers, constructing a structured manual arbitration request data packet, wherein the manual arbitration request data packet at least comprises conflict reasons, operation options to be arbitrated and associated business context information; And pushing the manual arbitration request data packet to a preset arbitration task queue, and triggering a notification mechanism to distribute the arbitration task to a designated recruiter terminal.
6. The method for collision avoidance and talent data reconstruction for resume editing in a recruitment system according to claim 1, wherein invoking the corresponding data reconstruction policy execution module according to the presence determination result of the edited identity in the talent database comprises: Taking the edited identity mark as a query key, and carrying out matching retrieval in the talent database; according to the returned result of the matching search, executing the existence judgment, including: if the unique matched talent main record is retrieved, judging that the mark corresponds to the existing talent record; if no matching record is searched, judging that no corresponding talent record is identified; Packaging the existence judging result and the context information of the editing request to generate a strategy selection instruction; And dynamically instantiating and calling a corresponding data reconstruction policy execution module from a preregistered policy factory according to a judging result indicated in the policy selection instruction, wherein the policy factory is at least registered with a first policy execution module for processing a corresponding existing talent record of an identifier and a second policy execution module for processing a record of a non-corresponding talent of the identifier.
7. The method for anti-collision and talent data reconstruction for resume editing in a recruitment system according to claim 1, wherein if it is determined that the edited identity corresponds to an existing talent record, performing talent merging and data migration operations comprises: determining a target talent record corresponding to the edited identity mark and a source talent record associated with the target resume; Constructing a data mapping relation from the source talent record to the target talent record, wherein the data mapping relation at least covers a resume entity, a candidate entity and associated business history data thereof; according to the data mapping relation, starting transactional data migration operation, and atomically migrating and relating the source talent record to the target talent record; After the transactional data migration operation is confirmed to be successfully completed, executing source data cleaning logic, performing state evaluation on the source talent record, and marking the source talent record as an archivable or logic deletion state when a preset redundancy judgment condition is met.
8. The method for anti-collision and talent data reconstruction for resume editing in a recruitment system according to claim 1, wherein if it is determined that the edited identity has no corresponding talent record, performing a new talent record creation and association operation, comprising: Based on the edited identity and the related resume data in the editing request, generating a core attribute set recorded by a new person; Creating a new talent main record in the talent database by taking the core attribute set as a reference, and distributing a globally unique talent identifier for the record; binding the latest data version of the target resume with the newly created talent main record, and establishing attribution association between a resume entity and a talent entity; And updating the corresponding candidate records according to the original recruitment process context associated with the target resume, and changing the talent identifier to which the candidate records belong to into the newly allocated talent identifier so as to complete the association reconstruction of the service data.
9. The method for anti-collision and talent data reconstruction for resume editing in recruitment system according to claim 1, wherein after the execution of the data reconstruction policy execution module is completed, invoking a unified data synchronization engine to perform an atomization synchronization and a consistency check on association relations among resume entities, talent entities and candidate entities, comprising: Receiving an operation completion event and a data change abstract from the data reconstruction policy execution module, wherein the data change abstract at least describes the type of an affected entity and a key identifier; generating a group of ordered association relation synchronization instruction sequences by the unified data synchronization engine according to the data change abstract, wherein the instruction sequences are used for sequentially updating foreign key association and state reference among resume entities, talent entities and candidate entities in a transaction boundary; Executing the association relation synchronous instruction sequence, and checking the integrity and constraint consistency of data references among association triples in real time in the execution process, wherein the association triples are configured as resume-talent-candidate; after the instruction sequence is executed, triggering a final consistency check point, verifying that all the relations among the affected entities reach the expected state, and generating a data synchronization completion confirmation event.
10. The method for anti-collision and talent data reconstruction for resume editing in a recruitment system according to claim 1, wherein after recording the identifier change event trigger, generating a traceable transaction execution chain from collision detection to data synchronization completion of a full-flow operation log comprises: Generating a globally unique transaction tracking identifier when the identification change event is triggered, and injecting the transaction tracking identifier into the execution context of all subsequent sub-steps; Before and after each key sub-step of conflict detection, strategy selection, data reconstruction and data synchronization is executed, a corresponding execution module sends a structured log event to a central log service, wherein the structured log event at least comprises the transaction tracking identifier, a step type, an input parameter snapshot, an output result and a time stamp; Collecting and ordering all received structured log events by the central log service according to the transaction tracking identifier and the timestamp to form an original operation sequence arranged according to the execution time sequence; And analyzing and correlating the original operation sequence based on a predefined transaction chain model, generating a traceable transaction execution chain containing complete causal relation, and storing the transaction execution chain in an audit database in a lasting manner.

Description

Anti-collision talent data reconstruction method for resume editing in recruitment system Technical Field The invention relates to the technical field of computers, in particular to an anti-collision and talent data reconstruction method for resume editing in a recruitment system. Background In recruitment systems, resume is the core data carrier of talents, and usually a talent is uniquely determined by a core identity such as "name+mobile number". In the prior art, the processing of the resume library generally belongs to the duplication removal and combination of the static resume library, for example, repeated resume belonging to the same talent is identified and combined through an algorithm. However, these methods consider the resume as isolated static data, ignoring the dynamic business state that the candidate behind the resume is in the recruitment process, such as whether it is in the interview process, whether there is a designated recruiter, etc. When the resume is edited and the core identity of the resume is modified, if data combination or splitting is simply executed according to the static matching rule, the resume is very easy to collide with the ongoing dynamic recruitment process, so that interview arrangement is interrupted, the responsible person is in disorder or performance statistics is wrong, and the basic problem exists. Disclosure of Invention Therefore, the invention aims to provide an anti-collision and talent data reconstruction method for resume editing in a recruitment system. In order to achieve the technical purpose, the invention adopts the following technical scheme: a method for preventing conflict and reconstructing talent data for resume editing in a recruitment system comprises the following steps: Receiving an editing request of a target resume, wherein the editing request comprises resume data fields to be updated; analyzing resume data fields to be updated based on a preset core identity identification rule, and judging whether an editing request triggers an identification change event or not; If the identifier change event is triggered, based on a recruitment process state database, carrying out conflict detection on the dynamic process state of at least one candidate associated with the edited identity identifier, wherein the dynamic process state comprises a process stage state and a responsible person attribution state; when the conflict detection result meets the preset sensitive state condition, generating a flow interrupt instruction and a manual arbitration request, and suspending an associated recruitment flow; When the conflict detection result does not meet the preset sensitive state condition, a corresponding data reconstruction strategy execution module is called according to the existence judgment result of the edited identity mark in the talent database; executing, by the data reconstruction policy execution module, a corresponding operation, including: if the edited identity mark is judged to correspond to the existing talent record, executing talent merging and data migration operation; if the edited identity mark is judged to have no corresponding talent record, executing a new talent record creation and association operation; after the data reconstruction policy execution module is executed, a unified data synchronization engine is called, and the association relationship among the resume entity, the talent entity and the candidate entity is subjected to atomization synchronization and consistency verification; And after the triggering of the identification change event, recording a full-flow operation log from conflict detection to data synchronization completion, and generating a traceable transaction execution chain. In some embodiments, based on a preset core identity rule, analyzing a resume data field to be updated, and judging whether an edit request triggers a mark change event includes: Extracting resume data fields to be updated from the editing request, and classifying the resume data fields to be updated into core identity identification fields and non-core information fields based on preset field mapping rules; the current value of the core identity identification field is subjected to consistency comparison with the original value of the core identity identification field corresponding to the original talent record which is stored in the talent database and is associated with the target resume, and a consistency comparison result is obtained; When the consistency comparison result shows that the current value of at least one core identity field is inconsistent with the original value, determining to trigger the identity change event, and generating an identity change event object containing the identity values before and after the change. In some embodiments, conflict detection is performed on the dynamic process state of the at least one candidate associated with the edited identity based on the recruitment process state database,