A mobile proximity job employment recommender system

dc.contributor.authorMpela, Motebang Daniel
dc.contributor.co-supervisorAppiah, Martin, Dr.
dc.contributor.supervisorZuva, Tranos, Prof.
dc.date.accessioned2022-12-11T23:59:37Z
dc.date.available2022-12-11T23:59:37Z
dc.date.issued2020-12
dc.descriptionM. Tech. (Department of Information Technology, Faculty of Applied and Computer Sciences), Vaal University of Technology.en_US
dc.description.abstractWith 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.urihttp://hdl.handle.net/10352/568
dc.language.isoenen_US
dc.publisherVaal University of Technologyen_US
dc.subjectElectronic recruitmenten_US
dc.subjectJob recommender systemsen_US
dc.subjectJob matchingen_US
dc.subjectMobile job recommendation applicationen_US
dc.subjectMobile proximity job employment systemen_US
dc.subject.lcshDissertations, Academic -- South Africa.en_US
dc.subject.lcshEmployee selection.en_US
dc.subject.lcshArtificial Intelligence.en_US
dc.subject.lcshEmployees -- Recruiting -- South Africa.en_US
dc.titleA mobile proximity job employment recommender systemen_US
dc.typeThesisen_US
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