Abstract-- We introduce the novel notion of explanationbased diversification to address the well-known problem of overspecialization in item recommendations. Over-specialization in...
This paper provides a comprehensive review of explanations in recommender systems. We highlight seven possible advantages of an explanation facility, and describe how existing mea...
In this work we present topic diversification, a novel method designed to balance and diversify personalized recommendation lists in order to reflect the user's complete spec...
Cai-Nicolas Ziegler, Sean M. McNee, Joseph A. Kons...
Abstract. This paper studies the properties of a helpful and trustworthy explanation in a movie recommender system. It discuss the results of an experiment based on a natural langu...
While recommender systems tell users what items they might like, explanations of recommendations reveal why they might like them. Explanations provide many benefits, from improvi...