Matching applicants with positions for better allocation of employees in the job market

Elgammal Z., Barmu A., Hassan H., Elgammal K. W. M. A., Özyer T., ALHAJJ R.

22nd International Arab Conference on Information Technology, ACIT 2021, Muscat, Umman, 21 - 23 Aralık 2021 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/acit53391.2021.9677374
  • Basıldığı Şehir: Muscat
  • Basıldığı Ülke: Umman
  • Anahtar Kelimeler: natural language processing, job recommendations, matching systems, screening systems
  • İstanbul Medipol Üniversitesi Adresli: Evet

Özet

Nowadays most people who are looking for a job use the Internet, visiting websites like Linkedin or Indeed so they must face hundreds of recruitment companies and job ads. The process of applying for a job is time consuming especially in screening, preparing and attending tests and interviews. In addition, job applicants do not know which companies are most proper for them, this job-hunting strategy can easily lead to employment dissatisfaction or failure. therefore, it is more efficient to recommend a few most suitable jobs. Also, manual screening for a position is time consuming and expensive. Experienced recruiters may be able to speed up the process by noting patterns in the resumes. The aim is therefore also to identify these patterns so they can be implemented in the system. In this work we try to introduce a system that would help both recruiters and job applicants in the job-hunting process.