An online recruitment system to support employment proceedings: a case study at SGS Uganda Limited
dc.contributor.author | Adocor, Emmanuel | |
dc.contributor.author | Okalang, Joseph | |
dc.contributor.author | Mubanda, Denis | |
dc.contributor.author | Kaaya, Brian | |
dc.contributor.author | Kyewalyanga, Franco | |
dc.date.accessioned | 2022-05-05T10:55:45Z | |
dc.date.available | 2022-05-05T10:55:45Z | |
dc.date.issued | 2022-04 | |
dc.identifier.citation | Adocor et al (2022). An online recruitment system to support employment proceedings: a case study at SGS Uganda Limited (unpublished dissertation). Kampala: Makerere University | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.12281/12154 | |
dc.description.abstract | Traditional recruitment approaches are becoming insufficient due to the rapid expansion of job markets. This is due to the fact that companies frequently receive a large number of applications (typically unstructured resumes) that are difficult to manually process and assess. Several automated recruitment solutions have been proposed to overcome this problem. Although these systems have shown to be more effective in processing candidate resumes and matching them to relevant job openings, they still have low precision due to limitations in their underlying techniques, such as long distances, bureaucracy, work overload for the human resource manager, and the manual systems used in the process. We presented an automatic mail online recruitment system in this paper that makes use of different semantic resources to highlight the semantic content of resumes. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Makerere University | en_US |
dc.subject | Electronic recruitment | en_US |
dc.subject | Job recruitment | en_US |
dc.title | An online recruitment system to support employment proceedings: a case study at SGS Uganda Limited | en_US |
dc.type | Thesis | en_US |