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Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures Ian Porteous and Arthur Asuncion and Max Welling Bren School of Information and Computer Science University of California Irvine Irvine,
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Document Date: 2010-04-12 18:35:26


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City

New York / /

Company

Pearson / Netflix / /

Country

Jordan / United States / /

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Facility

Computer Science University of California Irvine Irvine / /

IndustryTerm

movies/products / inference algorithm / matrix factorization algorithms / inner product / bank / online average / Web Conference / online bayesian recommendations / data mining / large recommender systems / sumpT product / online averaging / inner-product / /

Movie

Star Trek / /

OperatingSystem

Nemesis / /

Organization

National Science Foundation / Information and Computer Science University of California Irvine Irvine / Artificial Copyright Intelligence / Max Welling Bren School of Information / Association for the Advancement / American Society for Information Science / /

Person

Mixtures Ian Porteous / Arthur Asuncion / Lee / Max Welling / Seung / /

/

Position

non parametric bayesian model for tensor factorization / e.g. movie director / representative / director / actors / /

Product

Dirichlet / Gibbs / /

PublishedMedium

Journal of Machine Learning Research / /

Technology

sampling algorithm / RAM / inference algorithm / data mining / machine learning / matrix factorization algorithms / Gibbs sampling algorithm / /

URL

www.aaai.org / http /