Hybrid Job and Resume Matcher

Abstract

Information extraction from text data has always been a tricky and difficult task. This work follows a previous work regarding a designed system that matches job ads with resumes, then assigns them a scoring point. In this system, there are two main parts: information extraction and scoring. For the information extraction part, rule-based methods are efficient when the format of the resumes and job ads are known. In this paper, powerful and efficient methods for information extraction from the mixed resume format and job ads using machine learning and deep learning methods are proposed.