Resume matching method and device based on artificial intelligence, equipment and storage medium

Abstract

The invention relates to the field of artificial intelligence, in particular to the field of natural language processing, and discloses a resume matching method and device based on artificial intelligence, equipment and a storage medium, which are used for analyzing the matching degree of a resume and a preset position according to a preset keyword and generating a position matching sequence according to the matching degree, so that the resume matching efficiency is improved. The method comprises the steps of: obtaining a target resume of a target talent; extracting resume data from the targetresume; cleaning the resume data according to a text classification algorithm of natural language processing NLP to obtain a target text; calling a preset model to analyze the target text to generatea prediction label; matching the prediction label with a preset keyword to obtain a plurality of matched preset positions, and determining the matching degree of each preset position; and sorting theplurality of preset positions according to the matching degree to obtain a first position matching sequence.

Description

technical field [0001] The present invention relates to the field of natural language processing, in particular to an artificial intelligence-based resume matching method, device, equipment and storage medium. Background technique [0002] At present, when some large companies recruit outsourced personnel, human resources (HR) usually screen resumes directly, and then send the screened resumes to professional departments. Confirm, and the recruiting process begins. However, it is impossible for HR to know all job functions, so HR may send the resumes of those who do not meet the requirements, and recommend those who do not meet the requirements of the employer to participate in the interview. [0003] In the existing solution, when recruiting personnel, HR needs to screen the resumes in the resume database and select qualified personnel. When an enterprise HR recruits people, it may be necessary to recruit people from different positions. HR may not be familiar with the pr...

AI Technical Summary

Problems solved by technology

When an enterprise HR recruits people, it may be necessary to recruit people from different positions. HR may not be familiar with the professional needs of each position, resulting in a poor match between candidates and positions and low processing efficiency.

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