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» Language Models of Collaborative Filtering
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144
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RECSYS
2010
ACM
15 years 2 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
111
Voted
CIKM
2009
Springer
15 years 8 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
ICDM
2009
IEEE
188views Data Mining» more  ICDM 2009»
14 years 12 months ago
Binomial Matrix Factorization for Discrete Collaborative Filtering
Matrix factorization (MF) models have proved efficient and well scalable for collaborative filtering (CF) problems. Many researchers also present the probabilistic interpretation o...
Jinlong Wu
120
Voted
IPAS
2008
15 years 4 months ago
Image restoration by sparse 3D transform-domain collaborative filtering
We propose an image restoration technique exploiting regularized inversion and the recent block-matching and 3D filtering (BM3D) denoising filter. The BM3D employs a non-local mod...
Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik...
103
Voted
IPAS
2008
15 years 4 months ago
Image restoration by sparse 3D transform-domain collaborative filtering
We propose an image restoration technique exploiting regularized inversion and the recent block-matching and 3D filtering (BM3D) denoising filter. The BM3D employs a non-local mod...
Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik...