CN-122019558-A - Resume data knowledge base updating detection method and system

CN122019558ACN 122019558 ACN122019558 ACN 122019558ACN-122019558-A

Abstract

The application relates to the technical field of data processing, in particular to a resume data knowledge base updating detection method and system, wherein the method comprises the steps of acquiring a plurality of changed fields and corresponding change types and change amplitudes of the changed fields according to an updating event when the resume data knowledge base has the updating event; the method comprises the steps of obtaining corresponding preset attribute information for each changed field, obtaining field update influence scores and field update complexity scores according to the preset attribute information and corresponding change types and change amplitudes, determining update processing strategies of each changed field according to all field update influence scores and all field update complexity scores, and carrying out update processing on each changed field according to the corresponding update processing strategies.

Inventors

YANG XUEFENG
YE TINGTING
WANG TING
ZHANG YANG
Yin Taiyun

Assignees

广州点动信息科技股份有限公司

Dates

Publication Date: 20260512
Application Date: 20260310

Claims (10)

1. The resume data knowledge base updating detection method is characterized by comprising the following steps of: S1, when an update event occurs in a resume data knowledge base, acquiring a plurality of changed fields and change types and change amplitudes corresponding to the changed fields according to the update event; S2, acquiring corresponding preset attribute information for each changed field, and acquiring a field update influence score and a field update complexity score according to the preset attribute information and the corresponding change type and change amplitude; s3, determining the update processing strategy of each changed field according to all the field update influence scores and all the field update complexity scores; S4, updating each changed field according to the corresponding updating strategy.
2. The resume data knowledge base update detection method according to claim 1, wherein step S2 comprises: s21, acquiring current recruitment information and market talent demand trend; s22, acquiring corresponding preset attribute information for each changed field, and correcting the preset attribute information according to field content, the current recruitment information and the market talent demand trend to obtain corrected attribute information; S23, obtaining a field update influence score and a field update complexity score according to the corresponding correction attribute information, the change type and the change amplitude for each changed field.
3. The resume data knowledge base update detection method according to claim 2, wherein step S22 comprises: S221, acquiring corresponding preset attribute information for each changed field, and correcting the preset attribute information according to field content, the current recruitment information and the market talent demand trend to obtain primary attribute information; S222, acquiring the association information of each changed field and other fields, and correcting the preliminary attribute information according to the association information to obtain corrected attribute information.
4. The resume data knowledge base update detection method according to claim 2, wherein step S23 comprises: S231, acquiring historical processing effect data according to each changed field, and determining a scoring acquisition rule according to the historical processing effect data, the current recruitment information and the market talent demand trend; S232, aiming at each changed field, acquiring a field update influence score and a field update complexity score according to the corresponding correction attribute information, the change type and the change amplitude by utilizing a corresponding score acquisition rule.
5. The resume data knowledge base update detection method according to claim 1, wherein step S3 comprises: S31, determining a first preliminary processing strategy of each changed field according to all the field update influence scores and all the field update complexity scores; S32, acquiring current recruitment information and market talent demand trend; S33, respectively correcting the first preliminary processing strategy of each changed field according to the current recruitment information, the market talent demand trend and the field content of all changed fields to obtain the updating processing strategy of each changed field.
6. The resume data knowledge base update detection method of claim 5, wherein step S33 comprises: s331, respectively correcting the first preliminary processing strategies of all the changed fields according to the current recruitment information, the market talent demand trend and the field contents of all the changed fields to obtain second preliminary processing strategies of all the changed fields; s332, acquiring system operation state information, wherein the system operation state information comprises a current load of a system, available computing resources and available storage resources; S333, respectively correcting the second preliminary processing strategies of the changed fields according to the system running state information and all the preset attribute information to obtain the updated processing strategies of the changed fields.
7. The resume data knowledge base update detection method according to claim 1, wherein step S1 comprises: S11, when an update event occurs in a resume data knowledge base, determining a change recognition rule according to the source of the update event; S12, acquiring a plurality of changed fields and the corresponding change types and change amplitudes of the changed fields according to the update event by utilizing the change identification rule.
8. The resume data knowledge base update detection method of claim 1 wherein the update processing policy comprises a verification method, a notification object, a data synchronization target and priority, and a resource scheduling instruction.
9. The resume data knowledge base update detection method of claim 1, wherein the preset attribute information comprises field importance, field type, and field content sensitivity.
10. The resume data knowledge base updating detection system is characterized by comprising: The change information acquisition module is used for acquiring a plurality of changed fields and change types and change amplitudes corresponding to the changed fields according to the update event when the resume data knowledge base generates the update event; The scoring acquisition module is used for acquiring corresponding preset attribute information for each changed field, and then acquiring a field updating influence score and a field updating complexity score according to the preset attribute information and the corresponding change type and change amplitude; the updating processing strategy acquisition module is used for determining the updating processing strategy of each changed field according to all the field updating influence scores and all the field updating complexity scores; And the updating processing execution module is used for updating each changed field according to the corresponding updating processing strategy.

Description

Resume data knowledge base updating detection method and system Technical Field The application relates to the technical field of data processing, in particular to a resume data knowledge base updating and detecting method and system. Background In an enterprise information system, resume information from sources such as autonomous user submission, external platform synchronization, internal personnel input and the like is generally integrated by utilizing a resume data knowledge base, so that candidate resume information is efficiently managed and recruitment process optimization is supported. As data size continues to grow and data sources become increasingly diverse, system developments have been directed to improving data accuracy and timeliness to accommodate increasingly complex business requirements. However, existing fixed detection strategies only focus on the existence of data changes, failing to effectively evaluate the update type (e.g., new, modified, deleted), the fields involved (structured or unstructured), the magnitude of the change (minor or major changes), and the potential business impact (e.g., whether to affect the connection, change the representation, or involve sensitive information). The system executes a high-overhead processing flow on low-impact low-complexity update (such as wrongly written word correction), so that the calculation resource is wasted, importance is not timely identified on high-impact high-complexity update (such as key work experience change), strict verification cannot be started or related personnel are informed preferentially, and the timeliness of key information synchronization is affected. Meanwhile, the fixed detection strategy cannot dynamically allocate resources according to the processing complexity, so that the condition that simple update is blocked by complex update or high-importance update cannot be preferentially processed when resources are tensed possibly occurs in the prior art, and therefore improvement of the overall efficiency of the system, optimization of resource utilization and guarantee of accurate synchronization of key information are limited. In view of the above problems, no effective technical solution is currently available. Disclosure of Invention The application aims to provide a resume data knowledge base updating detection method and system, which can effectively solve the problems that the resource waste and the untimely key information processing are caused by the fact that a fixed detection strategy cannot adapt to the dynamic change of updating influence and complexity, and the improvement of the overall efficiency of a system, the optimization of resource utilization and the guarantee of accurate synchronization of key information are limited due to the fact that simple updating is blocked by complex updating or high-importance updating cannot be processed preferentially when resources are tense. In a first aspect, the present application provides a resume data knowledge base update detection method, which includes the following steps: S1, when an update event occurs in a resume data knowledge base, acquiring a plurality of changed fields and change types and change amplitudes corresponding to the changed fields according to the update event; s2, acquiring corresponding preset attribute information for each changed field, and acquiring a field update influence score and a field update complexity score according to the preset attribute information and the corresponding change type and change amplitude; s3, determining the update processing strategy of each changed field according to the update influence scores of all fields and the update complexity scores of all fields; S4, updating each changed field according to the corresponding updating strategy. In a second aspect, the present application also provides a resume data knowledge base update detection system, which includes: The change information acquisition module is used for acquiring a plurality of changed fields and change types and change amplitudes corresponding to the changed fields according to the update event when the resume data knowledge base generates the update event; The score acquisition module is used for acquiring corresponding preset attribute information for each changed field, and then acquiring a field update influence score and a field update complexity score according to the preset attribute information and the corresponding change type and change amplitude; the updating processing strategy acquisition module is used for determining the updating processing strategy of each changed field according to the all-field updating influence scores and all-field updating complexity scores; And the updating processing execution module is used for updating each changed field according to the corresponding updating processing strategy. According to the resume data knowledge base updating detection method and system, the specific fields, the change types