Towards more confident recommendations: Improving recommender systems using filtering approach based on rating variance

Published: Jan 1, 2007
Abstract
In the present age of information overload, it is becoming increasingly harder to find relevant content. Recommender systems have been introduced to help people deal with these vast amounts of information and have been widely used in research as well as e-commerce applications. In this paper, we propose several new approaches to improve the accuracy of recommender systems by using rating variance to gauge the confidence of recommendations. We...
Paper Details
Title
Towards more confident recommendations: Improving recommender systems using filtering approach based on rating variance
Published Date
Jan 1, 2007
Journal
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