Machine Learned Resume-Job Matching Solution

TL;DR

This paper introduces a machine learning-based resume-job matching system that automatically captures semantic similarities, improving prediction accuracy over traditional rule-based methods in matching resumes with suitable job positions.

Contribution

The paper presents a novel deep learning framework with modular components for semantic feature extraction, classifier training, and ensemble learning, advancing resume-job matching technology.

Findings

Significant improvement in prediction precision for position, salary, education, and company scale.

Effective use of ensemble methods to combine multiple estimators.

Validated on over 47,000 resumes with positive results.

Abstract

Job search through online matching engines nowadays are very prominent and beneficial to both job seekers and employers. But the solutions of traditional engines without understanding the semantic meanings of different resumes have not kept pace with the incredible changes in machine learning techniques and computing capability. These solutions are usually driven by manual rules and predefined weights of keywords which lead to an inefficient and frustrating search experience. To this end, we present a machine learned solution with rich features and deep learning methods. Our solution includes three configurable modules that can be plugged with little restrictions. Namely, unsupervised feature extraction, base classifiers training and ensemble method learning. In our solution, rather than using manual rules, machine learned methods to automatically detect the semantic similarity of positions are proposed. Then four competitive "shallow" estimators and "deep" estimators are selected. Finally, ensemble methods to bag these estimators and aggregate their individual predictions to form a final prediction are verified. Experimental results of over 47 thousand resumes show that our solution can significantly improve the predication precision current position, salary, educational background and company scale.