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Matrix theory / Crowdsourcing / Netflix Prize / Multivariate statistics / Singular value decomposition / Netflix / Recommender system / Collaborative filtering / Non-negative matrix factorization / Algebra / Mathematics / Linear algebra


Large-scale Parallel Collaborative Filtering for the Netflix Prize Yunhong Zhou, Dennis Wilkinson, Robert Schreiber and Rong Pan HP Labs, 1501 Page Mill Rd, Palo Alto, CA, 94304 {yunhong.zhou, dennis.wilkinson, rob.schre
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Document Date: 2013-04-12 02:36:34

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City

Palo Alto / /

Company

Amazon / HP / Netflix / Google / Rong Pan HP Labs / /

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pence / /

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neural network / regularized linear least squares solution / inner product / iterative algorithm / online communities / Content-based recommendation systems / recommendation systems / Internet / e-commerce / post-processing / exemplary systems / large-scale data mining competition / parallel algorithm / computing / prediction solution / individual solutions / recommendation system algorithm / /

OperatingSystem

Linux / /

Organization

MITi / /

Person

Ai / Robert Schreiber / Dennis Wilkinson / /

Position

MIi RT / /

Product

CineMatch system / CineMatch recommendation system / CineMatch / Matlab / Sonim XP1 Cellular Phone / /

ProgrammingLanguage

R / /

ProvinceOrState

California / /

Technology

RAM / one processor / four processors / neural network / Linux / 30 processors / two processors / parallel algorithm / data mining / parallel AlternativeLeast-Squares algorithm / iterative algorithm / recommendation system algorithm / SVD algorithms / shared memory / /

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http /

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