Scalable collaborative filtering approaches for large reeommender systems

Journal of Machine Learning Research

Volumn 10, Issue , 2009, Pages 623-656

  Takáes, Gábor ^a,c   Pilászy, István ^b,c   Németh, Bottyán ^b,c   Tikk, Domonkos ^b,c  

^a SZÉCHENYI ISTVÁN UNIVERSITY   (Hungary)

^b BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS   (Hungary)

^c Gravity Research and Development Inc   (Hungary)

Author keywords

Collaborative filtering; Matrix factorization; Neighbor based correction; Netflix Prize; Reeommender systems

Indexed keywords

COLLABORATIVE FILTERING; MATRIX FACTORIZATION; NEIGHBOR BASED CORRECTION; NETFLIX PRIZE; REEOMMENDER SYSTEMS;

FACTORIZATION; INTERNET; LEARNING SYSTEMS; LIGHT MEASUREMENT; QUALITY OF SERVICE; SIGNAL FILTERING AND PREDICTION; STRUCTURAL OPTIMIZATION;

ONLINE SYSTEMS;

EID: 64149121935     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article

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