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AAAI
2010
13 years 10 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
ICDM
2008
IEEE
108views Data Mining» more  ICDM 2008»
14 years 2 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
ICML
2009
IEEE
14 years 9 months ago
Non-linear matrix factorization with Gaussian processes
Neil D. Lawrence, Raquel Urtasun
KDD
2008
ACM
117views Data Mining» more  KDD 2008»
14 years 8 months ago
Relational learning via collective matrix factorization
Ajit Paul Singh, Geoffrey J. Gordon
CORR
2006
Springer
178views Education» more  CORR 2006»
13 years 8 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,...