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» MoviExplain: a recommender system with explanations
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TSMC
2008
109views more  TSMC 2008»
13 years 5 months ago
Providing Justifications in Recommender Systems
Abstract--Recommender systems are gaining widespread acceptance in e-commerce applications to confront the "information overload" problem. Providing justification to a re...
Panagiotis Symeonidis, Alexandros Nanopoulos, Yann...
CSCW
2000
ACM
13 years 9 months ago
Explaining collaborative filtering recommendations
Automated collaborative filtering (ACF) systems predict a person’s affinity for items or information by connecting that person’s recorded interests with the recorded interests...
Jonathan L. Herlocker, Joseph A. Konstan, John Rie...
EXACT
2007
13 years 7 months ago
An MDP Approach for Explanation Generation
In order to assist a power plant operator to face unusual situations, we have developed an intelligent assistant that explains the suggested commands generated by an MDP-based pla...
Francisco Elizalde, Luis Enrique Sucar, Alberto Re...
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
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