Interactive recommender system for images and video

• Main Author: Muhammad Ghalib Mohamed
• Other Authors: Yuan Junsong
• Format: Final Year Project
• Language: English
• Published: 2015
• Subjects: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
• Online Access: http://hdl.handle.net/10356/64673
• Institution: Nanyang Technological University

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...