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Please use this identifier to cite or link to this item: https://repository.esi-sba.dz/jspui/handle/123456789/180
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dc.contributor.authorBENKHELIFA, ISlam-
dc.contributor.authorMECHEREF, ADel Youcef-
dc.date.accessioned2022-04-12T11:37:40Z-
dc.date.available2022-04-12T11:37:40Z-
dc.date.issued2020-
dc.identifier.urihttps://repository.esi-sba.dz/jspui/handle/123456789/180-
dc.descriptionM. KESKES Nabil Encadreur Mlle. BENNABI Sakina Rim Encadreuren_US
dc.description.abstractAll businesses use several techniques in order to maximize pro ts within a reasonable amount of time. So it is better to do things as quickly as possible. Recommender sys- tems are widely used systems that provide real-time recommendations of relevant items to each user. Job recommendation systems play a key role in helping employees nd the right opportunities and recruiters reaching top candidates. To do so, recommenda- tions techniques such as collaborative ltering, content-based ltering, knowledge-based and hybrid approaches can be applied. In this paper, job recommendation systems are presented into two types, the traditional job recommendation systems that focus on a single way of recommendation and the reciprocal job recommendation systems that help to match jobs to employees and employees to jobs.en_US
dc.language.isoenen_US
dc.subjectRecommendation Systemsen_US
dc.subjectJob Recommendationen_US
dc.subjectReciprocal Relevanceen_US
dc.titleJob Recommendation Systemsen_US
dc.typeThesisen_US
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