Recruitment and Recommendation System Based on Intelligent Computing

Abstract

Talent recruitment is of vital importance to the development of today's Enterprises. This paper takes job seekers and enterprises as research objects. According to the analysis of software engineering theory, we design a job-hunting system. This system is designed based on the intelligent quantitative retrieval recommendation system for both job seekers and enterprises needing new blood on the Web and mobile. The chief aim of the system is to realize the intelligent quantification of performance of job seekers and enterprises, and to grade the resume and enterprises by fuzzy mathematics. The system is mainly divided into two modules: the talent module and the enterprise module. Talent module is divided into resume quantification module, job-seeking intention module, community discussion module, etc. Enterprise module is divided into enterprise culture module and talent recommendation module, etc. The innovation of this system is to realize the quantitative analysis of data. This system can help job seekers find more suitable enterprises, and also help enterprises find more suitable talents.