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 …
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 …
the past decade (2011-2021). Compared to previous literature reviews, we put more …
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 …
Recruitpro: A pretrained language model with skill-aware prompt learning for intelligent recruitment
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 …
recruitment services. Along this line, a large number of emerging models have been …
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 …
Learning to match jobs with resumes from sparse interaction data using multi-view co-teaching network
With the ever-increasing growth of online recruitment data, job-resume matching has
become an important task to automatically match jobs with suitable resumes. This task is …
become an important task to automatically match jobs with suitable resumes. This task is …
Knowledge enhanced person-job fit for talent recruitment
As an essential task of talent recruitment, person-job fit aims to measure the matching
degree between talent qualifi-cation and the job requirements of a position. Existing studies …
degree between talent qualifi-cation and the job requirements of a position. Existing studies …
Learning effective representations for person-job fit by feature fusion
Person-job fit is to match candidates and job posts on online recruitment platforms using
machine learning algorithms. The effectiveness of matching algorithms heavily depends on …
machine learning algorithms. The effectiveness of matching algorithms heavily depends on …
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 …
Exploring Internal and External Interactions for Semi‐Structured Multivariate Attributes in Job‐Resume Matching
Job‐resume matching (JRM) is the core of online recruitment services for predicting the
matching degree between a job post and a resume. Most of the existing methods for JRM …
matching degree between a job post and a resume. Most of the existing methods for JRM …