Interactive recommender system for images and video

Interactive recommender system for images and video

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...

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Bibliographic Details
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
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Institution: Nanyang Technological University
Language: English
Description
Summary: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.

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