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CIKM
2009
Springer
14 years 3 months ago
Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering
Collaborative Filtering, considered by many researchers as the most important technique for information filtering, has been extensively studied by both academic and industrial co...
Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu
CHI
2005
ACM
14 years 9 months ago
Shared landmarks in complex coordination environments
We explore the concept of social landmarks in complex, shared information and coordination environments. Previous research in navigation and shared spaces has tended to emphasize ...
Michael J. Muller, Olga Kuchinskaya, Suzanne O. Mi...
UAI
2003
13 years 10 months ago
Preference-based Graphic Models for Collaborative Filtering
Collaborative filtering is a very useful general technique for exploiting the preference patterns of a group of users to predict the utility of items to a particular user. Previou...
Rong Jin, Luo Si, ChengXiang Zhai
JMLR
2010
152views more  JMLR 2010»
13 years 3 months ago
Bayesian Generalized Kernel Models
We propose a fully Bayesian approach for generalized kernel models (GKMs), which are extensions of generalized linear models in the feature space induced by a reproducing kernel. ...
Zhihua Zhang, Guang Dai, Donghui Wang, Michael I. ...
WWW
2005
ACM
14 years 9 months ago
Clustering for probabilistic model estimation for CF
Based on the type of collaborative objects, a collaborative filtering (CF) system falls into one of two categories: item-based CF and user-based CF. Clustering is the basic idea i...
Qing Li, Byeong Man Kim, Sung-Hyon Myaeng