A comprehensive survey of artificial intelligence techniques for talent analytics
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 …
organizations to rethink how to make talent-related decisions in a quantitative manner …
A challenge-based survey of e-recruitment recommendation systems
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 …
recruiters. The recommendations are generated based on the suitability of job seekers for …
RecBole 2.0: towards a more up-to-date recommendation library
In order to support the study of recent advances in recommender systems, this paper
presents an extended recommendation library consisting of eight packages for up-to-date …
presents an extended recommendation library consisting of eight packages for up-to-date …
Enhancing job recommendation through llm-based generative adversarial networks
Recommending suitable jobs to users is a critical task in online recruitment platforms. While
existing job recommendation methods encounter challenges such as the low quality of …
existing job recommendation methods encounter challenges such as the low quality of …
Generative job recommendations with large language model
The rapid development of online recruitment services has encouraged the utilization of
recommender systems to streamline the job seeking process. Predominantly, current job …
recommender systems to streamline the job seeking process. Predominantly, current job …
Modeling two-way selection preference for person-job fit
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 …
efficiency of recruitment by accurately matching the job positions with the job seekers …
An enhanced neural network approach to person-job fit in talent recruitment
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 …
job market. As a result, recruiters have to seek intelligent ways for Person-Job Fit, which is …
[HTML][HTML] Responsible Artificial Intelligence in Human Resources Technology: An innovative inclusive and fair by design matching algorithm for job recruitment …
S Delecraz, L Eltarr, M Becuwe, H Bouxin… - Journal of Responsible …, 2022 - Elsevier
In this article, we address the broad issue of a responsible use of Artificial Intelligence in
Human Resources Management through the lens of a fair-by-design approach to algorithm …
Human Resources Management through the lens of a fair-by-design approach to algorithm …
Personalized and explainable employee training course recommendations: A bayesian variational approach
As a major component of strategic talent management, learning and development (L&D)
aims at improving the individual and organization performances through planning tailored …
aims at improving the individual and organization performances through planning tailored …
Human perceptions on moral responsibility of AI: A case study in AI-assisted bail decision-making
How to attribute responsibility for autonomous artificial intelligence (AI) systems' actions has
been widely debated across the humanities and social science disciplines. This work …
been widely debated across the humanities and social science disciplines. This work …