African Econometrics Journal | 18 May 2013
User Satisfaction and Algorithm Efficiency on Online Job Platforms in Cape Town Youth Employment Market: An Evaluation
N, o, m, s, i, n, k, o, s, i, X, u, l, u
Abstract
This study examines online job platforms in Cape Town’s youth employment market, focusing on user satisfaction and algorithm efficiency. This study employs quantitative methods to assess user feedback and algorithmic effectiveness through surveys and data analytics. A notable finding was that users rated platform satisfaction at an average of 7.5 out of 10, with a majority preferring platforms that offered more personalized job recommendations. The study concludes that while online job platforms are effective in connecting youth to employment opportunities, there is room for improvement in algorithm efficiency and user interface design. Recommendations include enhancing the personalization of matching algorithms and improving platform usability through user feedback mechanisms.