Fast ALS-based tensor factorization for context-aware recommendation from implicit feedback

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7524 LNAI, Issue PART 2, 2012, Pages 67-82

  Hidasi, Balázs ^a,b   Tikk, Domonkos ^a  

^a Gravity Research and Development Inc   (Hungary)

^b BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS   (Hungary)

Author keywords

context awareness; implicit feedback; recommender systems; tensor factorization

Indexed keywords

BENCHMARK DATASETS; CONTEXT- AWARENESS; CONTEXT-AWARE; CONTEXTUAL INFORMATION; DATA SETS; EXPLICIT FEEDBACK; IMPLICIT FEEDBACK; LEARNING METHODS; PRODUCT TYPES; REAL-WORLD APPLICATION; RECOMMENDER ALGORITHMS; SEASONALITY; SEQUENTIAL INFORMATION; STATE-OF-THE-ART ALGORITHMS; TENSOR FACTORIZATION; TIME INTERVAL; USAGE PATTERNS; USER BEHAVIORS;

ALGORITHMS; BEHAVIORAL RESEARCH; FACTORIZATION; LEARNING SYSTEMS; RECOMMENDER SYSTEMS;

TENSORS;

EID: 84866860074     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33486-3_5     Document Type: Conference Paper

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