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 …
Exploring large language model for graph data understanding in online job recommendations
Large Language Models (LLMs) have revolutionized natural language processing tasks,
demonstrating their exceptional capabilities in various domains. However, their potential for …
demonstrating their exceptional capabilities in various domains. However, their potential for …
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 …
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 …
TWEETSPIN: Fine-grained propaganda detection in social media using multi-view representations
P Vijayaraghavan, S Vosoughi - … of the 2022 Conference of the …, 2022 - aclanthology.org
Recently, several studies on propaganda detection have involved document and fragment-
level analyses of news articles. However, there are significant data and modeling …
level analyses of news articles. However, there are significant data and modeling …
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 …
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 …
consultantbert: Fine-tuned siamese sentence-bert for matching jobs and job seekers
In this paper we focus on constructing useful embeddings of textual information in vacancies
and resumes, which we aim to incorporate as features into job to job seeker matching …
and resumes, which we aim to incorporate as features into job to job seeker matching …
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 …