Smart Talents Recruiter-Resume Ranking and Recommendation System

Abstract

During the previous decade, the augmentation of automatic e-recruitment has led to the enlargement of web channels that are devoted to candidate dissemination. In an economic and strategic context where cost-effective is basal, the recommendation of the candidates for the given job requirements has become mandatory. The purpose of this work is to acquaint the actual results that we have achieved on a new recommendation system named Smart Applicant Ranker which is a candidate recommendation tool designed to supervise recruiters while they input their job requirements into the system. This system is designed using Ontology where we can compare the resume models with the given job requirements to match the best comparable candidates. Two ranking algorithms are underlined in this system which will be invoked to assign a ranking point to the recommended candidates against the other candidates on the recommendation pool. The Smart Applicant Ranker system will be kept in a Semantic Web approach that provides IT recruitment firms to seek experts in an efficient way.