Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/64673
Title: Interactive recommender system for images and video
Authors: Muhammad Ghalib Mohamed
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2015
Abstract: With 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.
URI: http://hdl.handle.net/10356/64673
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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