Learning optimal ranking with tensor factorization for tag recommendation

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2009, Pages 727-735

  Rendle, Steffen ^a   Marinho, Leandro Balby ^a   Nanopoulos, Alexandros ^a   Schmidt Thieme, Lars ^a  

^a UNIVERSITY OF HILDESHEIM   (Germany)

Author keywords

Ranking; Tag recommendation; Tensor factorization

Indexed keywords

FACTORIZATION MODEL; GRADIENT DESCENT ALGORITHMS; HIGHER ORDER SINGULAR VALUE DECOMPOSITION; LAST.FM; MISSING VALUES; OBSERVED DATA; OPTIMIZATION CRITERIA; OPTIMIZATION PROBLEMS; PAGERANK; PREDICTION METHODS; RANKING; RECOMMENDATION METHODS; RUN TIME COMPLEXITY; RUNTIMES; TAG RECOMMENDATION; TAGGING SYSTEMS; TENSOR FACTORIZATION;

OPTIMIZATION; SINGULAR VALUE DECOMPOSITION; TENSORS;

FACTORIZATION;

EID: 70350663110     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1557019.1557100     Document Type: Conference Paper

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