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Volumn , Issue , 2010, Pages 81-90

Pairwise interaction tensor factorization for personalized tag recommendation

Author keywords

Personalization; Recommender systems; Tag recommendation; Tensor factorization

Indexed keywords

BAYESIAN; COLLABORATIVE FILTERING; CORE TENSOR; FACTORIZATION MODEL; GRAPH-BASED; HIGH QUALITY; PAGERANK; PAIRWISE INTERACTION; PERSONALIZATIONS; PREDICTION QUALITY; REAL-WORLD DATASETS; RECOMMENDER SYSTEMS; RUNTIMES; TD-MODEL; TENSOR FACTORIZATION;

EID: 77950902603     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1718487.1718498     Document Type: Conference Paper
Times cited : (644)

References (25)
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  • 2
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    • Harshman, R.A.1
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    • Hofmann, T.1
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    • Modeling user rating profiles for collaborative filtering
    • S. Thrun, L. Saul, and B. Schölkopf, editors, Cambridge, MA, MIT Press
    • B. Marlin. Modeling user rating profiles for collaborative filtering. In S. Thrun, L. Saul, and B. Schölkopf, editors, Advances in Neural Information Processing Systems 16, Cambridge, MA, 2004. MIT Press.
    • (2004) Advances in Neural Information Processing Systems 16
    • Marlin, B.1
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.