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ESWA
2002
134views more  ESWA 2002»
13 years 8 months ago
A personalized recommender system based on web usage mining and decision tree induction
A personalized product recommendation is an enabling mechanism to overcome information overload occurred when shopping in an Internet marketplace. Collaborative filtering has been...
Yoon Ho Cho, Jae Kyeong Kim, Soung Hie Kim
ICMLA
2008
13 years 10 months ago
Multi-stage Learning of Linear Algebra Algorithms
In evolving applications, there is a need for the dynamic selection of algorithms or algorithm parameters. Such selection is hardly ever governed by exact theory, so intelligent r...
Victor Eijkhout, Erika Fuentes
PERVASIVE
2005
Springer
14 years 2 months ago
Product Reviews in Mobile Decision Aid Systems
Recommender systems provide decision aid and information filtering functions that have a great potential application in the mobile context. An aspect which has not been extensive...
René T. A. Wietsma, Francesco Ricci
FLAIRS
2006
13 years 10 months ago
CATS: A Synchronous Approach to Collaborative Group Recommendation
Group recommender systems introduce a whole set of new challenges for recommender systems research. The notion of generating a set of recommendations that will satisfy a group of ...
Kevin McCarthy, Maria Salamó, Lorcan Coyle,...
WINE
2009
Springer
151views Economy» more  WINE 2009»
14 years 1 months ago
Consistent Continuous Trust-Based Recommendation Systems
Abstract. The goal of a trust-based recommendation system is to generate personalized recommendations from known opinions and trust relationships. Prior work introduced the axiomat...
Ola Rozenfeld, Moshe Tennenholtz