Modeling and learning context-aware recommendation scenarios using tensor decomposition

Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011

Volumn , Issue , 2011, Pages 137-144

  Wermser, Hendrik ^a   Rettinger, Achim ^b   Tresp, Volker ^c  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

^c SIEMENS AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BACKGROUND KNOWLEDGE; CONTEXT-AWARE; CORE FEATURES; FLEXIBLE FRAMEWORK; GENERIC APPROACH; LINKED DATUM; MATRIX FACTORIZATIONS; MULTIVARIATE MODELS; PAIRWISE INTERACTION; PERSONALIZED RECOMMENDATION; PREDICTIVE PERFORMANCE; SEMANTIC CONTEXT; SEMANTIC DATA; SEQUENTIAL INFORMATION; SOCIAL NETWORKS; TENSOR DECOMPOSITION; TENSOR FACTORIZATION; TIME INFORMATION; USER INFORMATION; USER INTERESTS; USER NEED; USER RATING;

FACTORIZATION; KNOWLEDGE MANAGEMENT; SEMANTICS; SOCIAL NETWORKING (ONLINE);

TENSORS;

EID: 80052708258     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASONAM.2011.56     Document Type: Conference Paper

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