Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/64673
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dc.contributor.authorMuhammad Ghalib Mohamed
dc.date.accessioned2015-05-29T04:10:14Z
dc.date.available2015-05-29T04:10:14Z
dc.date.copyright2015en_US
dc.date.issued2015
dc.identifier.urihttp://hdl.handle.net/10356/64673
dc.description.abstractWith the growth of the internet, e-commerce grew and flourished. With this, there was a need for predicting user’s desire. Recommending items or products to users that they may not have seen or acted upon. A recommender system employs collaborative filtering techniques to predict a user’s liking for a certain item. In this project, the aim was to develop an interactive system where it would take into account a user’s action on an item and constantly adjust its prediction based on this interactivity.en_US
dc.format.extent43 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer visionen_US
dc.titleInteractive recommender system for images and videoen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorYuan Junsongen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineeringen_US
dc.contributor.organizationGraymaticsen_US
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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