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» Recommendation Diversification Using Explanations
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EXACT
2008
13 years 7 months ago
Explaining recommendations generated by MDPs
There has been little work in explaining recommendations generated by Markov Decision Processes (MDPs). We analyze the difculty of explaining policies computed automatically and id...
Omar Zia Khan, Pascal Poupart, James P. Black
SIGECOM
1999
ACM
117views ECommerce» more  SIGECOM 1999»
13 years 9 months ago
Recommender systems in e-commerce
Recommender systems are changing from novelties used by a few E-commerce sites, to serious business tools that are re-shaping the world of E-commerce. Many of the largest commerce...
J. Ben Schafer, Joseph A. Konstan, John Riedl
JURIX
2007
13 years 6 months ago
Explaining the Relevance of Court Decisions to Laymen
In the context of intelligent disclosure of case law, we report on our findings with respect to the presentation of relevant court decisions back to the laymen users. For this pres...
Gwen R. Wildeboer, Michel C. A. Klein, Elisabeth M...
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...
DL
2000
Springer
173views Digital Library» more  DL 2000»
13 years 9 months ago
Content-based book recommending using learning for text categorization
Recommender systems improve access to relevant products and information by making personalized suggestions based on previous examples of a user's likes and dislikes. Most exi...
Raymond J. Mooney, Loriene Roy