An Intelligent Decision Support System For Recruitment: Resumes Screening And Applicants Ranking

Authors

  • Arwa Najjar
  • Belal Amro
  • Mário Macedo

DOI:

https://doi.org/10.31449/inf.v45i4.3356

Abstract

The task of finding the best job candidates among a set of applicants is both time and resource consuming, especially when there are lots of applications. In this concern, the development of a decision support system represents a promising solution to support recruiters and facilitate their job. In this paper, we present an intelligent decision support system named I-Recruiter, that ranks applicants according to the semantic similarity between their resumes and job descriptions; the ranking process is based on machine learning and natural language processing techniques. I-Recruiter is composed of three sequentially connected blocks namely 1) Training block: which is responsible for training the model from a set of resumes, 2) Matching block: that is responsible for matching the resumes to the corresponding job description, and 3) Extracting block: that is responsible for extracting the top n ranked candidates.  Experimental results for accuracy and performance showed that I-recruiter is capable of doing the job with high confidence and excellent performance.

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Published

2021-12-17

How to Cite

Najjar, A., Amro, B., & Macedo, M. (2021). An Intelligent Decision Support System For Recruitment: Resumes Screening And Applicants Ranking. Informatica, 45(4). https://doi.org/10.31449/inf.v45i4.3356

Issue

Vol. 45 No. 4 (2021)

Section

Regular papers

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