A mobile proximity job employment recommender system
| dc.contributor.author | Mpela, Motebang Daniel | |
| dc.contributor.co-supervisor | Appiah, Martin, Dr. | |
| dc.contributor.supervisor | Zuva, Tranos, Prof. | |
| dc.date.accessioned | 2022-12-11T23:59:37Z | |
| dc.date.available | 2022-12-11T23:59:37Z | |
| dc.date.issued | 2020-12 | |
| dc.description | M. Tech. (Department of Information Technology, Faculty of Applied and Computer Sciences), Vaal University of Technology. | en_US |
| dc.description.abstract | With a rapid growth of internet technologies, many companies have transformed from the old traditional ways of recruiting employees to electronic recruitment (e-recruitment). E-recruiting channels achieved a solid advantage for both employers and job applicants by dropping advertising cost, applying cost as well as hiring time. Job recommender systems aim to help in people – job matching. In this research, a proposed mobile job employment recommender system is a client – server application that uses content – based filtering algorithm to enable the initial selection of a suitable leisure job seeker to a temporary job at a particular place and vice versa. A prototype of a mobile job recommendation application was developed to evaluate the algorithm. The evaluation matrix used to assess the prototype are precision, recall and the F-measure. The precision value was found to be 0.994, the recall value was 0.975 and the F1- score was 0.984. The experimental results of the proposed algorithm show the effectiveness of the system to recommend suitable candidates for jobs at a specified area. The recommender system was able to achieve its main aim of enabling the initial selection of suitable temporary job seekers to a temporary job at a particular place and vice versa. Thus, the results of the proposed algorithm are satisfactory. | en_US |
| dc.identifier.uri | http://hdl.handle.net/10352/568 | |
| dc.language.iso | en | en_US |
| dc.publisher | Vaal University of Technology | en_US |
| dc.subject | Electronic recruitment | en_US |
| dc.subject | Job recommender systems | en_US |
| dc.subject | Job matching | en_US |
| dc.subject | Mobile job recommendation application | en_US |
| dc.subject | Mobile proximity job employment system | en_US |
| dc.subject.lcsh | Dissertations, Academic -- South Africa. | en_US |
| dc.subject.lcsh | Employee selection. | en_US |
| dc.subject.lcsh | Artificial Intelligence. | en_US |
| dc.subject.lcsh | Employees -- Recruiting -- South Africa. | en_US |
| dc.title | A mobile proximity job employment recommender system | en_US |
| dc.type | Thesis | en_US |