A review of machine learning applications in human resource management

S Garg, S Sinha, AK Kar, M Mani - International Journal of …, 2022 - emerald.com
Purpose This paper reviews 105 Scopus-indexed articles to identify the degree, scope and
purposes of machine learning (ML) adoption in the core functions of human resource …

A comprehensive survey of artificial intelligence techniques for talent analytics

C Qin, L Zhang, Y Cheng, R Zha, D Shen… - arXiv preprint arXiv …, 2023 - arxiv.org
In today's competitive and fast-evolving business environment, it is a critical time for
organizations to rethink how to make talent-related decisions in a quantitative manner …

RFRSF: Employee turnover prediction based on random forests and survival analysis

Z Jin, J Shang, Q Zhu, C Ling, W Xie… - Web Information Systems …, 2020 - Springer
In human resource management, employee turnover problem is heavily concerned by
managers since the leave of key employees can bring great loss to the company. However …

An enhanced neural network approach to person-job fit in talent recruitment

C Qin, H Zhu, T Xu, C Zhu, C Ma, E Chen… - ACM Transactions on …, 2020 - dl.acm.org
The widespread use of online recruitment services has led to an information explosion in the
job market. As a result, recruiters have to seek intelligent ways for Person-Job Fit, which is …

Attentive heterogeneous graph embedding for job mobility prediction

L Zhang, D Zhou, H Zhu, T Xu, R Zha, E Chen… - Proceedings of the 27th …, 2021 - dl.acm.org
Job mobility prediction is an emerging research topic that can benefit both organizations and
talents in various ways, such as job recommendation, talent recruitment, and career …

Interview choice reveals your preference on the market: To improve job-resume matching through profiling memories

R Yan, R Le, Y Song, T Zhang, X Zhang… - Proceedings of the 25th …, 2019 - dl.acm.org
Online recruitment services are now rapidly changing the landscape of hiring traditions on
the job market. There are hundreds of millions of registered users with resumes, and tens of …

A hierarchical career-path-aware neural network for job mobility prediction

Q Meng, H Zhu, K Xiao, L Zhang, H Xiong - Proceedings of the 25th ACM …, 2019 - dl.acm.org
The understanding of job mobility can benefit talent management operations in a number of
ways, such as talent recruitment, talent development, and talent retention. While there is …

Job2Vec: Job title benchmarking with collective multi-view representation learning

D Zhang, J Liu, H Zhu, Y Liu, L Wang, P Wang… - Proceedings of the 28th …, 2019 - dl.acm.org
Job Title Benchmarking (JTB) aims at matching job titles with similar expertise levels across
various companies. JTB could provide precise guidance and considerable convenience for …

Measuring the popularity of job skills in recruitment market: A multi-criteria approach

T Xu, H Zhu, C Zhu, P Li, H Xiong - … of the AAAI conference on artificial …, 2018 - ojs.aaai.org
To cope with the accelerating pace of technological changes, talents are urged to add and
refresh their skills for staying in active and gainful employment. This raises a natural …

Voice of charity: Prospecting the donation recurrence & donor retention in crowdfunding

H Zhao, B Jin, Q Liu, Y Ge, E Chen… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Online donation-based crowdfunding has brought new life to charity by soliciting small
monetary contributions from crowd donors to help others in trouble or with dreams. However …