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 …

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 …

This work aims to systematically analyze and address fairness issues arising in machine
learning models because of class imbalances present in data, specifically used for …

The focus of this paper is to analyze the effectiveness of modern machine learning
algorithms in making hiring decisions for a team. By evaluating different criteria for each …

Social media is increasingly becoming a window to the user's personality. Hiring the right
candidate is a formidable task for any organization and particularly in the highly competitive …

Candidate screening is the most costly step of the recruitment process. In order to eliminate
a large number of candidates applying for a position, resumes are filtered based on features …

To optimally prepare students for jobs, it is often useful to match the content of the learning
material with the needs of the current job market. On the other hand, it can motivate students …

To optimally prepare students for jobs, it is often useful to match the content of the learning
material with the needs of the current job market. On the other hand, it can motivate students …

The integration of big data analytics and natural language processing (NLP) has led to
exciting developments in the field of text analysis. This paper explores the techniques 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 …