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Volumn , Issue , 2012, Pages 2038-2041

Item-based collaborative filtering recommendation algorithm combining item category with interestingness measure

Author keywords

collaborative filtering; interesingnesst measure; item category; item similarity; recommendation systems

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;

EID: 84873836388     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSSS.2012.507     Document Type: Conference Paper
Times cited : (51)

References (8)
  • 1
    • 3042788736 scopus 로고    scopus 로고
    • Application of dimensionality reduction in recommender system-a case study
    • Boston, MA, United States
    • B. M. Sarwar, G. Karypis, J. A. Konstan, et al. "Application of dimensionality reduction in recommender system-A Case Study, " Proc. ACM Web KDD Web Mining for E-Commerce Work shop, Boston, MA, United States, 2000, pp. 82-90.
    • (2000) Proc. ACM Web KDD Web Mining for E-Commerce Work Shop , pp. 82-90
    • Sarwar, B.M.1    Karypis, G.2    Konstan, J.A.3
  • 2
    • 0002549585 scopus 로고    scopus 로고
    • Eigentaste: A constant time collaborative filtering algorithm
    • K. Goldberg, T. Roeder, D. Gupta, et al. "Eigentaste: a constant time collaborative filtering algorithm, " Information Retrieval, vol. 4 (2), pp. 133-151, 2001.
    • (2001) Information Retrieval , vol.4 , Issue.2 , pp. 133-151
    • Goldberg, K.1    Roeder, T.2    Gupta, D.3
  • 4
    • 24944592578 scopus 로고    scopus 로고
    • Alleviating the sparsity problem of collaborative filtering using trust inferences
    • Berlin, Springer-Verlag
    • M. Papagelis, D. Plexousakis and T. Kutsuras, "Alleviating the sparsity problem of collaborative filtering using trust inferences, " Proc. 3rd Int. Conf. on Trust Mnagement, Berlin, Springer-Verlag, 2005, pp. 224-239.
    • (2005) Proc. 3rd Int. Conf. on Trust Mnagement , pp. 224-239
    • Papagelis, M.1    Plexousakis, D.2    Kutsuras, T.3
  • 7
    • 33749319347 scopus 로고    scopus 로고
    • Interestingness measures for data mining: A survey
    • L. Geng, J. H. Hamilton. "Interestingness Measures for Data Mining: A survey, ". ACM Computing Surveys, vol. 38 (3), 2006, pp. 11-29.
    • (2006) ACM Computing Surveys , vol.38 , Issue.3 , pp. 11-29
    • Geng, L.1    Hamilton, J.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.