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 …

Implications of Social Media for a Changing Work Landscape

TS Behrend, DM Ravid, S Thapa - Annual review of …, 2024 - annualreviews.org
More than half of the global population now uses social media. This technological ubiquity
has transformed the way that individuals communicate and engage with the world around …

Recruitpro: A pretrained language model with skill-aware prompt learning for intelligent recruitment

C Fang, C Qin, Q Zhang, K Yao, J Zhang… - Proceedings of the 29th …, 2023 - dl.acm.org
Recent years have witnessed the rapid development of machine-learning-based intelligent
recruitment services. Along this line, a large number of emerging models have been …

Personalized and explainable employee training course recommendations: A bayesian variational approach

C Wang, H Zhu, P Wang, C Zhu, X Zhang… - ACM Transactions on …, 2021 - dl.acm.org
As a major component of strategic talent management, learning and development (L&D)
aims at improving the individual and organization performances through planning tailored …

An end-to-end framework for information extraction from Italian resumes

A Barducci, S Iannaccone, V La Gatta… - Expert Systems with …, 2022 - Elsevier
Nowadays, recruitment processes are increasingly being automated by intelligent systems
which provide best candidates for companies' open positions, and vice versa. However …

Automatic skill-oriented question generation and recommendation for intelligent job interviews

C Qin, H Zhu, D Shen, Y Sun, K Yao, P Wang… - ACM Transactions on …, 2023 - dl.acm.org
Job interviews are the most widely accepted method for companies to select suitable
candidates, and a critical challenge is finding the right questions to ask job candidates …

Design and interactive performance of human resource management system based on artificial intelligence

Y Gong, M Zhao, Q Wang, Z Lv - PloS one, 2022 - journals.plos.org
The purpose is to strengthen Human Resources Management (HRM) through information
management using Artificial Intelligence (AI) technology. First, the selection criteria of the …

Job recommender systems: A review

C De Ruijt, S Bhulai - arXiv preprint arXiv:2111.13576, 2021 - arxiv.org
This paper provides a review of the job recommender system (JRS) literature published in
the past decade (2011-2021). Compared to previous literature reviews, we put more …

Boss: A bilateral occupational-suitability-aware recommender system for online recruitment

X Hu, Y Cheng, Z Zheng, Y Wang, X Chi… - Proceedings of the 29th …, 2023 - dl.acm.org
With the rapid development of online recruitment platforms, a variety of emerging
recommendation services have been witnessed for benefiting both job seekers and …

A challenge-based survey of e-recruitment recommendation systems

Y Mashayekhi, N Li, B Kang, J Lijffijt… - ACM Computing Surveys, 2024 - dl.acm.org
E-recruitment recommendation systems recommend jobs to job seekers and job seekers to
recruiters. The recommendations are generated based on the suitability of job seekers for …