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» A Survey of Explanations in Recommender Systems
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ICDE
2009
IEEE
100views Database» more  ICDE 2009»
14 years 7 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
AIR
2005
97views more  AIR 2005»
13 years 5 months ago
Explanation in Case-Based Reasoning-Perspectives and Goals
Abstract. We present an overview of different theories of explanation from the philosophy and cognitive science communities. Based on these theories, as well as models of explanati...
Frode Sørmo, Jörg Cassens, Agnar Aamod...
EXACT
2008
13 years 7 months ago
Integrating Probabilistic and Knowledge-Based Systems for Explanation Generation
An important requirement for intelligent assistants is to have an explanation generation mechanism, so that the trainee has a better understanding of the recommended actions and ca...
Francisco Elizalde, Luis Enrique Sucar, Julieta No...
CORR
2002
Springer
131views Education» more  CORR 2002»
13 years 5 months ago
A Connection-Centric Survey of Recommender Systems Research
Recommender systems attempt to reduce information overload and retain customers by selecting a subset of items from a universal set based on user preferences. While research in rec...
Saverio Perugini, Marcos André Gonça...
IUI
2009
ACM
14 years 2 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