M. Tech. (Department of Information Technology, Faculty of Applied and Computer Sciences), Vaal University of Technology. / 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.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:vut/oai:digiresearch.vut.ac.za:10352/568 |
| Date | 12 1900 |
| Creators | Mpela, Motebang Daniel |
| Contributors | Zuva, Tranos, Prof., Appiah, Martin, Dr. |
| Publisher | Vaal University of Technology |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
Page generated in 0.0155 seconds