dc.contributor.author | Elgammal, Ziad | |
dc.contributor.author | Barmu, Abdullah | |
dc.contributor.author | Hassan, Hamza | |
dc.contributor.author | Elgammal, Khaled | |
dc.contributor.author | Özyer, Tansel | |
dc.contributor.author | Alhajj, Reda | |
dc.date.accessioned | 2022-03-17T10:13:58Z | |
dc.date.available | 2022-03-17T10:13:58Z | |
dc.date.issued | 2021 | en_US |
dc.identifier.citation | Elgammal, 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 | en_US |
dc.identifier.isbn | 9781665419956 | |
dc.identifier.uri | https://doi.org/10.1109/ACIT53391.2021.9677374 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12511/9137 | |
dc.description.abstract | 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. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | IEEE (Institute of Electrical and Electronics Engineers) | en_US |
dc.rights | info:eu-repo/semantics/embargoedAccess | en_US |
dc.subject | Job Recommendations | en_US |
dc.subject | Matching Systems | en_US |
dc.subject | Natural Language Processing | en_US |
dc.subject | Screening Systems | en_US |
dc.title | Matching applicants with positions for better allocation of employees in the job market | en_US |
dc.type | conferenceObject | en_US |
dc.relation.ispartof | 22nd International Arab Conference on Information Technology (ACIT) | en_US |
dc.department | İstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
dc.authorid | 0000-0002-2529-5533 | en_US |
dc.authorid | 0000-0001-6657-9738 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.identifier.doi | 10.1109/ACIT53391.2021.9677374 | en_US |
dc.institutionauthor | Elgammal, Ziad | |
dc.institutionauthor | Barmu, Abdullah | |
dc.institutionauthor | Hassan, Hamza | |
dc.institutionauthor | Elgammal, Khaled | |
dc.institutionauthor | Özyer, Tansel | |
dc.institutionauthor | Alhajj, Reda | |
dc.identifier.scopus | 2-s2.0-85125314735 | en_US |