Man-post matching method and man-post matching system based on knowledge graph and deep learning

Abstract

The invention provides a man-post matching method and a man-post matching system based on a knowledge graph and deep learning. The man-post matching method comprises the following steps: S101, acquiring first basic data information of a post to be matched and effective information of the first basic data information; s102, adding the effective information into the knowledge graph, processing the information of the knowledge graph and the first basic data information, inputting the processed information into an inference model, obtaining a matching score of a selected resume and a post, and obtaining an optimal inference model according to the matching score; s103, processing the second basic data information and the knowledge graph information of the second basic data information and theninputting into an optimal inference model, and obtaining the matching score of the to-be-selected resume data and the post through the optimal inference model. According to the invention, matching canbe accurately, efficiently and rapidly carried out, the matching result of the resumes and the posts is obtained, the resume screening and matching efficiency is high, the time and energy of employment units and job seekers are greatly reduced, and the overall management level of enterprise personnel recruitment is improved.

Description

technical field [0001] The present invention relates to the field of artificial intelligence applications, in particular to a person-post matching method and a person-post matching system based on knowledge graphs and deep learning. Background technique [0002] With the continuous development of Internet technology, more and more recruitment units are recruiting online, and more and more job seekers are looking for jobs through the Internet. Online recruitment is gradually replacing traditional "face-to-face" recruitment methods, especially recruitment websites. , with its fast job search and recommendation technology and talent search and recommendation technology, as well as rich job resources and talent resources, to a certain extent, it solves the problem of "difficulty recruiting talents" for recruiters and "difficulty finding jobs" for job seekers . [0003] At present, companies usually grab a large number of resumes that meet the recruitment conditions from the Int...

AI Technical Summary

Problems solved by technology

[0003] At present, companies usually grab a large number of resumes that meet the recruitment conditions from the Internet by building personnel recruitment software, but these resumes are usually messy, and it is impossible to achieve accurate matching and sorting of recruitment conditions and resumes. When companies have recruitment needs However, it often takes a lot of manpower and time to obtain resumes from personnel recruitment software for manual precise screening. The efficiency of resume screening and matching is slow, which consumes a lot of time and energy for employers and job seekers, and reduces the overall cost of corporate personnel recruitment. management level

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