Distributed Methods for High-Dimensional and Large-Scale Tensor Factorization

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn 2015-January, Issue January, 2014, Pages 989-994

  Shin, Kijung ^a   Kang, U ^b  

^a Seoul National University   (South Korea)

^b Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

Distributed computing; MapReduce; Recommender system; Tensor factorization

Indexed keywords

DATA MINING; DISTRIBUTED COMPUTER SYSTEMS; ECONOMIC AND SOCIAL EFFECTS; FACTORIZATION; RECOMMENDER SYSTEMS;

CONTEXT INFORMATION; DISTRIBUTED METHODS; MAP-REDUCE; MEMORY REQUIREMENTS; OPTIMIZATION TECHNIQUES; ORDERS OF MAGNITUDE; STATE-OF-THE-ART METHODS; TENSOR FACTORIZATION;

TENSORS;

EID: 84936929171     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2014.78     Document Type: Conference Paper

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