Fast nonparametric matrix factorization for large-scale collaborative filtering

Proceedings - 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009

Volumn , Issue , 2009, Pages 211-218

  Yu, Kai ^a   Zhu, Shenghuo ^a   Lafferty, John ^b   Gong, Yihong ^a  

^a NEC LABORATORIES AMERICA   (United States)

^b Carnegie Mellon University   (United States)

Author keywords

Collaborative filtering; Matrix factorization; Nonparametric models

Indexed keywords

ACCURATE PREDICTION; COLLABORATIVE FILTERING; COMPLEX DATA; DATA SIZE; DATA-DRIVEN; LARGE-SCALE PROBLEM; LATENT FACTOR; LOW-RANK MATRICES; MATRIX FACTORIZATIONS; NON-PARAMETRIC; NON-PARAMETRIC MODEL; ONLINE USERS; OPTIMIZATION ALGORITHMS; PREFERENCE LEARNING; PROBABILISTIC PRINCIPAL COMPONENT ANALYSIS; USER RATING;

COMPUTATIONAL EFFICIENCY; FACTORIZATION; INFORMATION RETRIEVAL; INFORMATION SERVICES; LIGHT MEASUREMENT; PRINCIPAL COMPONENT ANALYSIS; SIGNAL FILTERING AND PREDICTION; SINGULAR VALUE DECOMPOSITION;

LEARNING ALGORITHMS;

EID: 72449152230     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1571941.1571979     Document Type: Conference Paper

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