Resume allocation method, device and equipment based on machine learning and storage medium

Abstract

The invention discloses a resume distribution method and device based on machine learning, equipment and a storage medium. The method comprises the steps of obtaining candidate person identifiers and candidate resume texts corresponding to the candidate person identifiers; performing data screening processing on all the candidate resume texts to obtain current candidate feature data corresponding to candidate person and member identifiers; obtaining recruiter identifiers and current recruitment feature data corresponding to each recruiter identifier; performing one-to-one combination on the current recruitment feature data and the current candidate feature data to obtain target combination feature data corresponding to the candidate person identifier and the recruitment person identifier; inputting the target combined feature data into a target resume matching model, and obtaining a resume matching score corresponding to the candidate person identifier and the recruiter identifier; and obtaining the target resume text matched with the recruiter identifier based on the resume matching score, so that automatic resume distribution is realized, and the distribution accuracy and the recruitment success rate are effectively improved.

Description

technical field [0001] The present invention relates to the field of resume distribution based on machine learning, in particular to a method, device, equipment and storage medium for resume distribution based on machine learning. Background technique [0002] With the continuous development of Internet technology, more and more companies use models to screen resumes in order to forward excellent resumes to the actual employing department. [0003] However, most of the existing models extract keywords from resumes, and then calculate the similarity between applicants and job requirements to screen resumes. However, this method of confirming target resumes based on job requirements has a large number of resumes after screening. Manual further screening is needed, and the automatic distribution of resumes has a low distribution accuracy rate and a low degree of automation; and the resumes screened by the existing model do not have a high matching degree between recruiters and ...

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present invention provides a resume distribution method, device, computer equipment and storage medium based on machine learning to solve the problem of low distribution accuracy in the current automatic distribution of resumes Issues with a poor match between recruiters and candidates

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