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Volumn , Issue , 2012, Pages 2038-2041
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Item-based collaborative filtering recommendation algorithm combining item category with interestingness measure
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Author keywords
collaborative filtering; interesingnesst measure; item category; item similarity; recommendation systems
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Indexed keywords
COLLABORATIVE FILTERING;
COLLABORATIVE FILTERING ALGORITHMS;
CONDITIONAL PROBABILITIES;
CORRELATION DEGREE;
DATA SETS;
DATA SPARSITY;
INTERESINGNESST MEASURE;
INTERESTINGNESS;
INTERESTINGNESS MEASURES;
ITEM CATEGORY;
ITEM SIMILARITY;
PERSONALIZED RECOMMENDATION SYSTEMS;
PREDICTION ACCURACY;
RECOMMENDATION ALGORITHMS;
SIMILARITY MATRIX;
SIMILARITY MEASURE;
SPARSITY PROBLEMS;
ASSOCIATION RULES;
COMPUTER SCIENCE;
RECOMMENDER SYSTEMS;
SIGNAL FILTERING AND PREDICTION;
ALGORITHMS;
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EID: 84873836388
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/CSSS.2012.507 Document Type: Conference Paper |
Times cited : (51)
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References (8)
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