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WITS 2020 pp 77-87 | Cite as

A Term Weighting Scheme Using Fuzzy Logic for Enhancing Candidate Screening Task

Conference paper
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Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 745)

Abstract

The candidate screening is an essential task in the recruitment process. It is about choosing a suitable candidate that satisfies the recruiter requirements for a given job position. The evolution of information technologies leads to an increase in the use of the recruitment web portals by the candidates that apply for the job positions published in the job boards. Thus the candidate screening process automation becomes necessary to handle the enormous volume of CVs applying for the job positions. In Information Technology (IT) domain, the technology skills are the key competencies to identify the job profile; Consequently, they have priority to the candidate screening task. In this paper, we enhance the candidate screening task in the IT field. For this purpose, we propose a fuzzy-based weighting scheme using domain ontology for Information Retrieval (IR). Experimental results on a recruiter company data show the effective results of our proposed solution.

Keywords

Term weighting Fuzzy logic Vector space model Candidate screening IT recruitment 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2022

Authors and Affiliations

  1. 1.LISAC Laboratory, Faculty of Sciences Dhar EL MehrazSidi Mohamed Ben Abdellah UniversityFezMorocco

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