Similarity Measures for Ranking Job Applicants

Abstract

Timely evaluation of job applications is of high importance for both employers and potential employees. The process however is usually quite laborious and often requires involvement of multi-criteria multi-person decision making. A number of free and commercial stand-alone or Web-based systems supporting ranking of job applications have been developed. While some of them are based on predetermined rules, others allow users’ performed adjustments. In real-world situations, candidates with top scores do not always take positions they are offered. In such occurrences, an employer should either consider applicants with lower scores or make a new job announcement. To facilitate the process of ranking job applicants who have received lower scores than the top ones, we propose placing employments seekers in sets based on their similarities with the most qualified applicants.