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

dc.authorid0000-0002-2529-5533
dc.authorid0000-0001-6657-9738
dc.contributor.authorElgammal, Ziad
dc.contributor.authorBarmu, Abdullah
dc.contributor.authorHassan, Hamza
dc.contributor.authorElgammal, Khaled
dc.contributor.authorÖzyer, Tansel
dc.contributor.authorAlhajj, Reda
dc.date.accessioned2022-03-17T10:13:58Z
dc.date.available2022-03-17T10:13:58Z
dc.date.issued2021
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description.abstractNowadays 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.
dc.identifier.citationElgammal, Z., Barmu, A., Hassan, H., Elgammal, K., Özyer, T. ve Alhajj, R. (2021). Matching applicants with positions for better allocation of employees in the job market. 22nd International Arab Conference on Information Technology (ACIT), Muscat, Oman, 21-23 December 2021. https://doi.org/10.1109/ACIT53391.2021.9677374
dc.identifier.doi10.1109/ACIT53391.2021.9677374
dc.identifier.isbn9781665419956
dc.identifier.scopus2-s2.0-85125314735
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/ACIT53391.2021.9677374
dc.identifier.urihttps://hdl.handle.net/20.500.12511/9137
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorElgammal, Ziad
dc.institutionauthorBarmu, Abdullah
dc.institutionauthorHassan, Hamza
dc.institutionauthorElgammal, Khaled
dc.institutionauthorÖzyer, Tansel
dc.institutionauthorAlhajj, Reda
dc.language.isoen
dc.publisherIEEE (Institute of Electrical and Electronics Engineers)
dc.relation.ispartof22nd International Arab Conference on Information Technology (ACIT)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectJob Recommendations
dc.subjectMatching Systems
dc.subjectNatural Language Processing
dc.subjectScreening Systems
dc.titleMatching applicants with positions for better allocation of employees in the job market
dc.typeConference Object

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