Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/8620
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dc.contributor.authorElgammal Z.-
dc.contributor.authorBarmu A.-
dc.contributor.authorHassan H.-
dc.contributor.authorElgammal K.-
dc.contributor.authorÖzyer, Tansel-
dc.contributor.authorAlhajj R.-
dc.date.accessioned2022-07-30T16:43:35Z-
dc.date.available2022-07-30T16:43:35Z-
dc.date.issued2021-
dc.identifier.citationElgammal, Z., Barmu, A., Hassan, H., Elgammal, K., Özyer, T., & Alhajj, R. (2021, December). Matching applicants with positions for better allocation of employees in the job market. In 2021 22nd International Arab Conference on Information Technology (ACIT) (pp. 1-5). IEEE.en_US
dc.identifier.isbn9781665419956-
dc.identifier.urihttps://doi.org/10.1109/ACIT53391.2021.9677374-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/8620-
dc.description22nd International Arab Conference on Information Technology, ACIT 2021 -- 21 December 2021 through 23 December 2021 -- -- 176492en_US
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. © 2021 IEEE.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2021 22nd International Arab Conference on Information Technology, ACIT 2021en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectJob recommendationsen_US
dc.subjectMatching systemsen_US
dc.subjectNatural language processingen_US
dc.subjectScreening systemsen_US
dc.subjectHunting processen_US
dc.subjectJob applicanten_US
dc.subjectJob huntingen_US
dc.subjectJob marketen_US
dc.subjectJob recommendationen_US
dc.subjectLinkedInen_US
dc.subjectMatching systemen_US
dc.subjectMatchingsen_US
dc.subjectScreening systemen_US
dc.subjectSpeed upen_US
dc.subjectNatural language processing systemsen_US
dc.titleMatching applicants with positions for better allocation of employees in the job marketen_US
dc.typeConference Objecten_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.identifier.scopus2-s2.0-85125314735en_US
dc.institutionauthorÖzyer, Tansel-
dc.identifier.doi10.1109/ACIT53391.2021.9677374-
dc.authorscopusid57468230200-
dc.authorscopusid57468230300-
dc.authorscopusid57467917600-
dc.authorscopusid57226392890-
dc.authorscopusid8914139000-
dc.authorscopusid7004187647-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeConference Object-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.dept02.1. Department of Artificial Intelligence Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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