Abstract Traditional Human Resources (HR) recruitment often relies on subjective
information, leading to biases. This study introduces a novel Decision Support System (DSS) …

Person-job fit is an essential part of online recruitment platforms in serving various
downstream applications like Job Search and Candidate Recommendation. Recently …

In the contemporary landscape of Human Resources (HR) management, the convergence of
data analytics, big data technologies, and machine learning algorithms has given rise to HR …

IntelliHire introduces an advanced automated system to revolutionize candidate evaluation,
addressing the limitations of traditional techniques such as biased interviews and manual …

Person-job fit lies at the heart of online recruitment, measuring the compatibility between job
seekers and vacancies. Current researchers mainly focus on job-resume matching between …

With the development of deep learning algorithms capable of examining vast quantities of
data and spotting complex patterns, machine learning has made tremendous progress over …

An efficient job recommendation framework needs to recommend an appropriate jobseeker
to a recruiter and vice-versa. Prior studies have mostly considered datasets from commercial …

While the development of online recruitment platforms has allowed companies to post their
job offers and for job seekers to submit their resumes simply and efficiently, the recruitment …

As organizations increasingly use cybervetting as a tool in personnel selection, scholars
have begun to consider how the information derived from social media sites (eg, pictures of …

Recent years have seen a rapid increase in the application of computational approaches to
different HR tasks, such as algorithmic hiring, skill extraction, and monitoring of employee …