Increasing consumers' understanding of recommender results
Published: Sep 26, 2010
Abstract
Recommender systems are intended to assist consumers by making choices from a large scope of items. While most recommender research focuses on improving the accuracy of recommender algorithms, this paper stresses the role of explanations for recommended items for gaining acceptance and trust. Specifically, we present a method which is capable of providing detailed explanations of recommendations while exhibiting reasonable prediction accuracy....
Paper Details
Title
Increasing consumers' understanding of recommender results
Published Date
Sep 26, 2010
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