Application of Machine Learning in Employee Recruitment: A Big Data-Driven Approach to Candidate Sourcing and Matching

Xingyi Wang

doi:10.54254/2755-2721/2025.BJ25265

Applied and Computational EngineeringOpen access

Application of Machine Learning in Employee Recruitment: A Big Data-Driven Approach to Candidate Sourcing and Matching

Research Article

Open Access

Application of Machine Learning in Employee Recruitment: A Big Data-Driven Approach to Candidate Sourcing and Matching

Xingyi Wang ^1*

¹ School of Labor Economics, Capital University of Economics and Business, Beijing, 100070, China

^*Corresponding author: 32022050019@cueb.edu.cn

Published on 20 July 2025

ACE Vol.177

ISSN (Print): 2755-273X

ISSN (Online): 2755-2721

ISBN (Print): 978-1-80590-241-6

ISBN (Online): 978-1-80590-242-3

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Abstract

The search and matching of candidates constitutes the core link of an enterprise's recruitment process. In human resource management, recruitment is a crucial step for enterprises to attract outstanding talent, directly affecting the company’s future development. This review aims to conduct a comprehensive review and synthesis of the application methodologies, challenges, and development prospects of machine learning in employee recruitment within the era of big data. Research has found that in the digital age, the transformation of the recruitment process in enterprises is an inevitable trend. Machine learning is capable of precisely extracting crucial information from a vast number of resumes. It can promptly adapt to the evolving requirements of enterprises, automatically align with market trends, and rapidly identify highly-matched candidates for enterprises, thereby significantly streamlining the candidate search process. During this process, enterprises should seize the opportunities presented by technological development and propose corresponding solutions to address the associated risks and challenges. Furthermore, this review summarizes and discusses the future development prospects in the domain of employee recruitment, providing practical references for enterprises and human resources departments.

Keywords:

Machine Learning, Employee Recruitment, Big Data, Candidate Sourcing and Matching

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References

[2]. Zhen G .Precise Position Intelligent Matching System of Online Recruitment Platform Based on Data Mining Technology [J].Journal of Physics: Conference Series, 2021, 2066(1):

[3]. Chun W .Analysis and Evaluation of Engineering Job Demand Based on Big Data Technology [J].Mathematical Problems in Engineering, 2022

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[19]. Liu G , Ouyang Z , Sha L , et al.The Application and Challenges of Artificial Intelligence in Recruitment Interviews [J].Scientific and Social Research, 2024, 6(2): 218-222.

Cite this article

Wang,X. (2025). Application of Machine Learning in Employee Recruitment: A Big Data-Driven Approach to Candidate Sourcing and Matching. Applied and Computational Engineering,177,31-37.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of CONF-MLA 2025 Symposium: Applied Artificial Intelligence Research

ISBN: 978-1-80590-241-6(Print) / 978-1-80590-242-3(Online)

Editor: Hisham AbouGrad

Conference website: https://2025.confmla.org/

Conference date: 3 September 2025

Series: Applied and Computational Engineering

Volume number: Vol.177

ISSN: 2755-2721(Print) / 2755-273X(Online)

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