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» Collaborative Filtering on a Budget
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UAI
2004
13 years 8 months ago
A Bayesian Approach toward Active Learning for Collaborative Filtering
Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
Rong Jin, Luo Si
SP
2002
IEEE
141views Security Privacy» more  SP 2002»
13 years 7 months ago
Collaborative Filtering with Privacy
Server-based collaborative filtering systems have been very successful in e-commerce and in direct recommendation applications. In future, they have many potential applications in...
John F. Canny
ESANN
2007
13 years 8 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
ICDM
2008
IEEE
99views Data Mining» more  ICDM 2008»
14 years 1 months ago
One-Class Collaborative Filtering
: © One-Class Collaborative Filtering Rong Pan, Yunhong Zhou, Bin Cao, Nathan N. Liu, Rajan Lukose, Martin Scholz, Qiang Yang HP Laboratories HPL-2008-133 collaborative filtering,...
Rong Pan, Yunhong Zhou, Bin Cao, Nathan Nan Liu, R...
RECSYS
2010
ACM
13 years 7 months ago
Collaborative filtering via euclidean embedding
Recommendation systems suggest items based on user preferences. Collaborative filtering is a popular approach in which recommending is based on the rating history of the system. O...
Mohammad Khoshneshin, W. Nick Street