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 …

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 …

AI in talent management in the digital era–an overview

JY Dawson, E Agbozo - Journal of Science and Technology Policy …, 2024 - emerald.com
Purpose The purpose of this study is to provide an overview of artificial intelligence (AI) in
the talent management sphere. The study seeks to contribute to the body of knowledge with …

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 …

Large-scale talent flow embedding for company competitive analysis

L Zhang, T Xu, H Zhu, C Qin, Q Meng, H Xiong… - Proceedings of The …, 2020 - dl.acm.org
Recent years have witnessed the growing interests in investigating the competition among
companies. Existing studies for company competitive analysis generally rely on subjective …

Variable interval time sequence modeling for career trajectory prediction: Deep collaborative perspective

C Wang, H Zhu, Q Hao, K Xiao, H Xiong - Proceedings of the Web …, 2021 - dl.acm.org
In today's fast-evolving job market, the timely and effective understanding of the career
trajectories of talents can help them quickly develop necessary skills and make the right …

Measuring employer attractiveness in diverse talent markets

L Li, T Lappas, R Liu - Decision Support Systems, 2024 - Elsevier
Previous work has measured employer attractiveness via proxies, such as the number of
new hires or employee sentiment mined from surveys and reviews. The first drawback of …

Title2Vec: A contextual job title embedding for occupational named entity recognition and other applications

J Liu, YC Ng, Z Gui, T Singhal, LTM Blessing… - Journal of Big Data, 2022 - Springer
Occupational data mining and analysis is an important task in understanding today's
industry and job market. Various machine learning techniques are proposed and gradually …

A Deep‐Learning‐Inspired Person‐Job Matching Model Based on Sentence Vectors and Subject‐Term Graphs

X Wang, Z Jiang, L Peng - Complexity, 2021 - Wiley Online Library
In this study, an end‐to‐end person‐to‐job post data matching model is constructed, and the
experiments for matching people with the actual recruitment data are conducted. First, the …

Enterprise cooperation and competition analysis with a sign-oriented preference network

L Dai, Y Yin, C Qin, T Xu, X He, E Chen… - Proceedings of the 26th …, 2020 - dl.acm.org
The development of effective cooperative and competitive strategies has been recognized
as the key to the success of many companies in a globalized world. Therefore, many efforts …