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» MoviExplain: a recommender system with explanations
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DL
2000
Springer
173views Digital Library» more  DL 2000»
13 years 12 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
CSE
2009
IEEE
14 years 2 months ago
A Visual Interface for Social Information Filtering
Abstract—Collaborative or “Social” filtering has been successfully deployed over the years as a technique for analysing large amounts of user-preference knowledge to predict...
John O'Donovan, Brynjar Gretarsson, Svetlin Bostan...
PERVASIVE
2005
Springer
14 years 1 months ago
Decision-Theoretic Planning Meets User Requirements: Enhancements and Studies of an Intelligent Shopping Guide
This paper reports on extensions to a decision-theoretic location-aware shopping guide and on the results of user studies that have accompanied its development. On the basis of the...
Thorsten Bohnenberger, Oliver Jacobs, Anthony Jame...
APIN
2008
110views more  APIN 2008»
13 years 7 months ago
Explaining inferences in Bayesian networks
While Bayesian network (BN) can achieve accurate predictions even with erroneous or incomplete evidence, explaining the inferences remains a challenge. Existing approaches fall sh...
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
LATINCRYPT
2010
13 years 6 months ago
Cryptanalysis of the Hidden Matrix Cryptosystem
Abstract. In this paper, we present an efficient cryptanalysis of the socalled HM cryptosystem which was published at Asiacrypt’1999, and one perturbed version of HM. Until now, ...
Jean-Charles Faugère, Antoine Joux, Ludovic...