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 …

Assessing the psychological characteristics of job applicants—including their vocational
interests or personality traits—has been a corner stone of hiring processes for decades …

The surge in online job applications has inundated recruiters with vast amounts of
unstructured resume data, necessitating innovative solutions for efficient candidate …

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

This study describes a novel strategy for optimizing the cultural fit assessment phase in firm
hiring procedures that combines natural language processing (NLP) techniques and semi …

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 …

In today's competitive job market, both job seekers and employers face the challenge of
efficiently matching skills, qualifications, and job requirements. To address this issue, we …