Matrix factorization and neighbor based algorithms for the netflix prize problem

RecSys'08: Proceedings of the 2008 ACM Conference on Recommender Systems

Volumn , Issue , 2008, Pages 267-274

  Takács, Gábor ^a   Pilászy, István ^b   Németh, Bottyán ^b   Tikk, Domonkos ^b  

^a SZÉCHENYI ISTVÁN UNIVERSITY   (Hungary)

^b BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS   (Hungary)

Author keywords

Collaborative filtering; Matrix factorization; Neighbor based methods; Netix prize

Indexed keywords

BLENDING; CURVE FITTING; FACTORIZATION; LEARNING SYSTEMS; QUALITY OF SERVICE; SIGNAL FILTERING AND PREDICTION;

COLLABORATIVE FILTERING; ITEM SELECTIONS; LINEAR LEAST SQUARES; MACHINE-LEARNING; MATRIX FACTORIZATION; NEIGHBOR BASED METHODS; NETIX PRIZE; PREDICTION ACCURACIES; RECOMMENDER SYSTEMS; TRAINING TIME; USER RATINGS;

LIGHT MEASUREMENT;

EID: 63449123891     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1454008.1454049     Document Type: Conference Paper

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