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CSCW
1998
ACM
13 years 10 months ago
Using Filtering Agents to Improve Prediction Quality in the GroupLens Research Collaborative Filtering System
Collaborative filtering systems help address information overload by using the opinions of users in a community to make personal recommendations for documents to each user. Many c...
Badrul M. Sarwar, Joseph A. Konstan, Al Borchers, ...
ACMSE
2006
ACM
13 years 11 months ago
Support vector machines for collaborative filtering
Support Vector Machines (SVMs) have successfully shown efficiencies in many areas such as text categorization. Although recommendation systems share many similarities with text ca...
Zhonghang Xia, Yulin Dong, Guangming Xing
ESANN
2007
13 years 7 months ago
Collaborative Filtering with interlaced Generalized Linear Models
Collaborative Filtering (CF) aims at finding patterns in a sparse matrix of contingency. It can be used for example to mine the ratings given by users on a set of items. In this p...
Nicolas Delannay, Michel Verleysen
UM
2007
Springer
13 years 11 months ago
Cross-Domain Mediation in Collaborative Filtering
One of the main problems of collaborative filtering recommenders is the sparsity of the ratings in the users-items matrix, and its negative effect on the prediction accuracy. This ...
Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci
TVCG
2002
104views more  TVCG 2002»
13 years 5 months ago
General Construction of Time-Domain Filters for Orientation Data
Capturing live motion has gained considerable attention in computer animation as an important motion generation technique. Canned motion data comprise both position and orientation...
Jehee Lee, Sung Yong Shin