Purpose: The aim of this study is to contribute to the understanding of the power of artificial
intelligence (AI) in recruitment and to highlight the opportunities and challenges associated …

This research work is mainly focused on selecting or short-listing the eligible candidates
from the pool of applicants in a relatively short span of time. As technology is rapidly …

The increasing complexity and abundance of information in resumes have created
confusion and challenges for both candidates and recruiters. An effective resume screening …

The automation of resume screening is a crucial aspect of the recruitment process in
organizations. Automated resume screening systems often encompass a range of natural …

The changes in the labor market accompanied by digitalization have influenced the
approaches used for recruitment purposes. The development of machine learning and …

The need for jobs is growing in the current world, and conducting interviews automatically
requires a new method. By automating the BEI (Behavioral Event Interviews) process …

This research builds upon the analysis of curriculum vitae (CV) through text mining
techniques, including natural language processing (NLP), to evince digital and creative KSC …

This survey paper explores the advancements in the realm of “AI-based Resume Matching
and Prediction” by focusing on empowering candidates to predict their eligibility for specific …

Both candidates and recruiters now face difficulties and uncertainty due to the growing
volume and complexity of information in resumes. As they may showcase their abilities and …

Recruitment processes have evolved from manual sorting of the resumes to automation with
the integration of Natural Language Processing. The benefits of NLP in hiring new …