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» Recommendation Diversification Using Explanations
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ICDE
2009
IEEE
100views Database» more  ICDE 2009»
14 years 6 months ago
Recommendation Diversification Using Explanations
Abstract-- We introduce the novel notion of explanationbased diversification to address the well-known problem of overspecialization in item recommendations. Over-specialization in...
Cong Yu, Laks V. S. Lakshmanan, Sihem Amer-Yahia
ICDE
2007
IEEE
130views Database» more  ICDE 2007»
13 years 11 months ago
A Survey of Explanations in Recommender Systems
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...
Nava Tintarev, Judith Masthoff
WWW
2005
ACM
14 years 5 months ago
Improving recommendation lists through topic diversification
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...
AH
2008
Springer
13 years 6 months ago
The Effectiveness of Personalized Movie Explanations: An Experiment Using Commercial Meta-data
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...
Nava Tintarev, Judith Masthoff
IUI
2009
ACM
14 years 1 months ago
Tagsplanations: explaining recommendations using tags
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...
Jesse Vig, Shilad Sen, John Riedl