https://repository.esi-sba.dz/jspui/handle/123456789/180
Title: | Job Recommendation Systems |
Authors: | BENKHELIFA, ISlam MECHEREF, ADel Youcef |
Keywords: | Recommendation Systems Job Recommendation Reciprocal Relevance |
Issue Date: | 2020 |
Abstract: | All 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. |
Description: | M. KESKES Nabil Encadreur Mlle. BENNABI Sakina Rim Encadreur |
URI: | https://repository.esi-sba.dz/jspui/handle/123456789/180 |
Appears in Collections: | Master |
File | Description | Size | Format | |
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memory-master_VF.pdf | 132,09 kB | Adobe PDF | View/Open |
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