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» Maximum-Margin Matrix Factorization
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AAAI
2010
15 years 5 months ago
Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
Ian Porteous, Arthur Asuncion, Max Welling
127
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ICDM
2008
IEEE
108views Data Mining» more  ICDM 2008»
15 years 10 months ago
Non-negative Matrix Factorization on Manifold
Recently Non-negative Matrix Factorization (NMF) has received a lot of attentions in information retrieval, computer vision and pattern recognition. NMF aims to find two non-nega...
Deng Cai, Xiaofei He, Xiaoyun Wu, Jiawei Han
114
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ICML
2009
IEEE
16 years 4 months ago
Non-linear matrix factorization with Gaussian processes
Neil D. Lawrence, Raquel Urtasun
109
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KDD
2008
ACM
117views Data Mining» more  KDD 2008»
16 years 4 months ago
Relational learning via collective matrix factorization
Ajit Paul Singh, Geoffrey J. Gordon
109
Voted
CORR
2006
Springer
178views Education» more  CORR 2006»
15 years 3 months ago
Low-rank matrix factorization with attributes
We develop a new collaborative filtering (CF) method that combines both previously known users' preferences, i.e. standard CF, as well as product/user attributes, i.e. classi...
Jacob Abernethy, Francis Bach, Theodoros Evgeniou,...