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dc.contributor.authorNaiga, Shamira
dc.contributor.authorMene, Kevin
dc.contributor.authorBbosa, Vincent
dc.contributor.authorMutebi, Ali
dc.date.accessioned2023-11-17T09:52:42Z
dc.date.available2023-11-17T09:52:42Z
dc.date.issued2023-08-10
dc.identifier.citationNaiga, S. et al. (2023). Enabling ease of access to information about informal jobs using a recommendation algorithm. Undergraduate dissertation Makerere Universityen_US
dc.identifier.urihttp://hdl.handle.net/20.500.12281/17086
dc.descriptionA project report Submitted to the School of Computing and Informatics Technology for the study leading to a project report in partial fulfillment of the requirements for the award of the Degree of Bachelor of Science in Computer Science of Makerere Universityen_US
dc.description.abstractThis project aims to bridge the information gap between the youth and the available informal job/work opportunities available. The study used a mixed methods approach to analyze the relationship between unemployment and access to information. A sample of approximately 20 individuals between the ages of 18 and 35 completed an online survey that measured the level of access to information in relation to unemployment levels. In addition, 20 individuals participated in a semi-structured interview to provide more in-depth insights into their experiences with failure to get jobs because of their inability to access information. The results showed a significant positive correlation between unemployment and lack of access to information. However, the interview data revealed that some individuals also reported being able to find informal jobs easily, due to factors such as the need to have a high social connection and support. The findings of this study have important implications for the government, educators, and employers who work with youth. Overall, this study highlights the need for further research to better understand the complex relationship between unemployment, poverty, and lack of access to information about informal employment opportunities.en_US
dc.language.isoenen_US
dc.publisherMakerere Universityen_US
dc.subjectRecommendation algorithmen_US
dc.subjectaceess to unemployment infomationen_US
dc.subjectunemploymenten_US
dc.titleEnabling ease of access to information about informal jobs using a recommendation algorithmen_US
dc.typeThesisen_US


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