A RECOMMENDER SYSTEM FOR SOCIO- ECONOMIC DIETARY SUGGESTIONS TO SUPPORT INDIVIDUALS SUFFERING WITH MILD DEPRESSION

dc.contributor.advisorFernando Loizides
dc.contributor.authorafnan saad saeed alghamdi
dc.date2021
dc.date.accessioned2022-05-29T16:01:56Z
dc.date.available2022-05-29T16:01:56Z
dc.degree.departmentAdvanced Computer Science
dc.degree.grantorComputer Science and Informatics
dc.description.abstractThe Rd application is a diet recommendation application that has been developed for this project. The application allows the user to search about recipes that can increase depression or reduce it. Android’s guidelines were followed during the application’s development, resulting in effective usability and good user experience. The user experience was developed with the low/high fidelity prototypes. The testing phase involved six testers and users who had completed a questioner of their feedback regarding their experience with using the (Rd) application. Their feedback of the usability and future frequency of using this application was positive in general. Future work should focus on updating the application in order to improve it.
dc.identifier.urihttps://drepo.sdl.edu.sa/handle/20.500.14154/49751
dc.language.isoen
dc.titleA RECOMMENDER SYSTEM FOR SOCIO- ECONOMIC DIETARY SUGGESTIONS TO SUPPORT INDIVIDUALS SUFFERING WITH MILD DEPRESSION
sdl.thesis.levelMaster
sdl.thesis.sourceSACM - United Kingdom

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