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 …

Enhancing person-job fit for talent recruitment: An ability-aware neural network approach

C Qin, H Zhu, T Xu, C Zhu, L Jiang, E Chen… - The 41st international …, 2018 - dl.acm.org
The wide spread use of online recruitment services has led to information explosion in the
job market. As a result, the recruiters have to seek the intelligent ways for Person-Job Fit …

Person-job fit: Adapting the right talent for the right job with joint representation learning

C Zhu, H Zhu, H Xiong, C Ma, F Xie, P Ding… - ACM Transactions on …, 2018 - dl.acm.org
Person-Job Fit is the process of matching the right talent for the right job by identifying talent
competencies that are required for the job. While many qualitative efforts have been made in …

Modeling two-way selection preference for person-job fit

C Yang, Y Hou, Y Song, T Zhang, JR Wen… - Proceedings of the 16th …, 2022 - dl.acm.org
Person-job fit is the core technique of online recruitment platforms, which can improve the
efficiency of recruitment by accurately matching the job positions with the job seekers …

Data science skills and domain knowledge requirements in the manufacturing industry: A gap analysis

G Li, C Yuan, S Kamarthi, M Moghaddam… - Journal of Manufacturing …, 2021 - Elsevier
Manufacturing has adopted technologies such as automation, robotics, industrial Internet of
Things (IoT), and big data analytics to improve productivity, efficiency, and capabilities in the …

A survey on skill identification from online job ads

I Khaouja, I Kassou, M Ghogho - IEEE Access, 2021 - ieeexplore.ieee.org
A changing job market, influenced by different factors such as globalization and
demographic growth, urges close monitoring. The digitization of the job market has given the …

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 …

Market-oriented job skill valuation with cooperative composition neural network

Y Sun, F Zhuang, H Zhu, Q Zhang, Q He… - Nature …, 2021 - nature.com
The value assessment of job skills is important for companies to select and retain the right
talent. However, there are few quantitative ways available for this assessment. Therefore, we …

Skills2Job: A recommender system that encodes job offer embeddings on graph databases

A Giabelli, L Malandri, F Mercorio… - Applied Soft …, 2021 - Elsevier
We propose a recommender system that, starting from a set of users' skills, identifies the
most suitable jobs as they emerge from a large dataset of Online Job Vacancies (OJVs). To …

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 …