Matchbox: Large scale online Bayesian recommendations

WWW'09 - Proceedings of the 18th International World Wide Web Conference

Volumn , Issue , 2009, Pages 111-120

  Stern, David ^a   Herbrich, Ralf ^a   Graepel, Thore ^a  

^a MICROSOFT RESEARCH   (United Kingdom)

Author keywords

Algorithms; Experimentation; Performance

Indexed keywords

COLLABORATIVE FILTERING; COMPUTATIONAL RESOURCES; CONTENT INFORMATION; DATA SETS; DYNAMICS MODELS; EXPECTATION PROPAGATION; EXPERIMENTATION; FEATURE VECTORS; IMPROVING PERFORMANCE; INNER PRODUCT; ORDINAL RATINGS; PERFORMANCE; PERSONALISED RECOMMENDATIONS; PROBABILISTIC MODELS; RATING SCALE; SINGLE PASS; STATE-OF-THE-ART PERFORMANCE; TRAINING DATA; USER BEHAVIORS;

ALGORITHMS; LEARNING ALGORITHMS; VECTOR SPACES; WEB SERVICES;

BEHAVIORAL RESEARCH;

EID: 77950941535     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1526709.1526725     Document Type: Conference Paper

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