Abstract
The tremendous growth of information on the Internet has been above our ability to process. A recommender system, which filters out useful information and generate recommendations, has been introduced to help users overcome the information overload problem and has been widely applied in an ever-increasing number of e-commercial websites. Collaborative filtering and content-based recommendation methods are two major approaches used in recommender...
Paper Details
Title
Improvements To Personalised Recommender Systems
Published Date
Jan 1, 2008
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