Evaluating Automatic CV Shortlisting Tool For Job Recruitment Based On Machine Learning Techniques

Abstract

Recruitment and screening techniques have minimal limitations, which keeps candidates and HR from meeting expectations. Finding the finest candidates for a position by examining through hundreds of resumes requires awhile and can introduce prejudice. These days, a lot of businesses use internet-based platforms to find new employees. These platforms, commonly referred to as “job portals,” make the hiring process easier for both the recruiter and the candidate. The criteria can be established by HR based on factors like education, experience, and talents. This appears to have a significant impact on task reduction. However, there are still a large number of resumes that meet the criteria and must be manually reviewed. We propose in this paper, a tool for automatically shortlisting and ranking candidates based on their job profiles. By using cosine similarity to evaluate a resume against the job description, it streamlines the application process and makes it simple for the HR department to find the qualified applicant.