A hybrid recommendation method with reduced data for large-scale application

IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews

Volumn 40, Issue 5, 2010, Pages 557-566

  Choi, Sang Hyun ^a   Jeong, Young Seon ^b   Jeong, Myong K ^b,c  

^a Gyeongsang National University   (South Korea)

^b DEPARTMENT OF INDUSTRIAL AND SYSTEMS ENGINEERING   (United States)

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

Author keywords

Data mining; electronic commerce; hybrid recommendation; information filtering

Indexed keywords

BINARY CORRELATIONS; COLLABORATIVE FILTERING; COMPUTATIONAL TIME; CONTENT-BASED; DATA SETS; GENERALIZED METHOD; HYBRID METHOD; HYBRID RECOMMENDATION; INFORMATION FILTERING; INFORMATION OVERLOADS; LARGE-SCALE APPLICATIONS; RECOMMENDATION ALGORITHMS; RECOMMENDATION SYSTEMS; REDUCED DATA; SPARSITY PROBLEMS;

ALGORITHMS; COMBINES; DATA MINING; ELECTRONIC COMMERCE; SCALABILITY;

DATA REDUCTION;

EID: 77955852843     PISSN: 10946977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCC.2010.2046036     Document Type: Article

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