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Article . 2013
License: CC BY
Data sources: Datacite
ZENODO
Article . 2013
License: CC BY
Data sources: Datacite
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User Satisfaction and Algorithm Efficiency on Online Job Platforms in Cape Town Youth Employment Market: An Evaluation

Authors: Xulu, Nomsinkosi;

User Satisfaction and Algorithm Efficiency on Online Job Platforms in Cape Town Youth Employment Market: An Evaluation

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.

Keywords

Algorithm Efficiency, Digital Inclusion, Youth Employment, User Satisfaction, Cape Town, Quantitative Methods, Empirical Research

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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