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ESWA
2002
134views more  ESWA 2002»
14 years 11 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
ECSCW
2001
15 years 1 months ago
PolyLens: A recommender system for groups of user
We present PolyLens, a new collaborative filtering recommender system designed to recommend items for groups of users, rather than for individuals. A group recommender is more appr...
Mark O'Connor, Dan Cosley, Joseph A. Konstan, John...
TKDE
2012
207views Formal Methods» more  TKDE 2012»
13 years 2 months ago
Mining Web Graphs for Recommendations
—As the exponential explosion of various contents generated on the Web, Recommendation techniques have become increasingly indispensable. Innumerable different kinds of recommend...
Hao Ma, Irwin King, Michael R. Lyu
HICSS
2007
IEEE
114views Biometrics» more  HICSS 2007»
15 years 6 months ago
Consumers' Interest in Personalized Recommendations: The Role of Product-Involvement and Opinion Seeking
The best recommender system is useless if consumers are not interested in its recommendations. Hence it is vital for e-commerce operators who apply recommender systems to get insi...
Nicolas Knotzer, Maria Madlberger
ACMICEC
2007
ACM
143views ECommerce» more  ACMICEC 2007»
15 years 3 months ago
Integrated personal recommender systems
Recommender Systems belong to a class of systems intended to assist individuals make evaluations about entities in meaningful ways. In this paper we discuss the issues in the desi...
Ronald Chung, David Sundaram, Ananth Srinivasan