A Resumes Recommendation Method Combining Graph Matching and Fuzzy Comprehensive Evaluation Theory

Abstract

The resume is the cornerstone of information in the whole hiring process. Evaluating resumes accurately has important values. This paper presents a method of resumes recommendation combining graph matching and fuzzy comprehensive evaluation theory around recruitment of industrial talents. The degree of matching between resumes and jobs was calculated by using fuzzy comprehensive evaluation. The optimal matching list was found with the help of graph matching theory. The results of experiment showed that the method can effectively recommend suitable resumes for specific jobs.