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Volumn 38, Issue 5, 2011, Pages 5101-5109

Utilizing various sparsity measures for enhancing accuracy of collaborative recommender systems based on local and global similarities

Author keywords

Collaborative filtering; Recommender systems; Similarity measures; Sparsity measures

Indexed keywords

COLLABORATIVE FILTERING; COLLABORATIVE RECOMMENDER SYSTEMS; DATA SPARSITY; EVOLUTIONARY APPROACH; GLOBAL SIMILARITY; ITEM-LEVEL; LOCAL SIMILARITY MEASURE; MATRIX; NEIGHBORHOOD SET; RECOMMENDATION TECHNIQUES; RECOMMENDER SYSTEMS; SIMILARITY MEASURE; SPARSITY MEASURES;

EID: 79151482018     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.09.141     Document Type: Article
Times cited : (142)

References (39)
  • 1
    • 20844435854 scopus 로고    scopus 로고
    • Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
    • G. Adomavicius, and A. Tuzhilin Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions IEEE Transaction on Knowledge and Data Engineering 17 6 2005 734 749
    • (2005) IEEE Transaction on Knowledge and Data Engineering , vol.17 , Issue.6 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 3
    • 44949123611 scopus 로고    scopus 로고
    • Fuzzy-genetic approach to recommender system based on a novel hybrid user model
    • M.Y.H. Al-Shamri, and K.K. Bharadwaj Fuzzy-genetic approach to recommender system based on a novel hybrid user model Expert Systems with Applications 35 3 2008 1386 1399
    • (2008) Expert Systems with Applications , vol.35 , Issue.3 , pp. 1386-1399
    • Al-Shamri, M.Y.H.1    Bharadwaj, K.K.2
  • 11
    • 0036959356 scopus 로고    scopus 로고
    • Hybrid recommender systems: Survey and experiments
    • R. Burke Hybrid recommender systems: Survey and experiments User Modeling and User-Adapted Interaction 12 2002 331 370
    • (2002) User Modeling and User-Adapted Interaction , vol.12 , pp. 331-370
    • Burke, R.1
  • 13
    • 34250090619 scopus 로고
    • Learning with genetic algorithms: An overview
    • K. De Jong Learning with genetic algorithms: An overview Machine Learning 3 1988 121 138
    • (1988) Machine Learning , vol.3 , pp. 121-138
    • De Jong, K.1
  • 15
    • 33847766633 scopus 로고    scopus 로고
    • Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation
    • F. Fouss, A. Pirotte, J.M. Renders, and M. Saerens Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation IEEE Transactions on Knowledge and Data Engineering 19 3 2007 355 369
    • (2007) IEEE Transactions on Knowledge and Data Engineering , vol.19 , Issue.3 , pp. 355-369
    • Fouss, F.1    Pirotte, A.2    Renders, J.M.3    Saerens, M.4
  • 16
    • 84976668719 scopus 로고
    • Using collaborative filtering to weave an information tapestry
    • D. Goldberg, D. Nichols, B.M. Oki, and D. Terry Using collaborative filtering to weave an information tapestry Communications of the ACM 35 12 1992 61 70
    • (1992) Communications of the ACM , vol.35 , Issue.12 , pp. 61-70
    • Goldberg, D.1    Nichols, D.2    Oki, B.M.3    Terry, D.4
  • 23
    • 0037252945 scopus 로고    scopus 로고
    • Amazon.com recommendations: Item-to-item collaborative filtering
    • G. Linden, B. Smith, and J. York Amazon.com recommendations: Item-to-item collaborative filtering Internet Computing IEEE 7 1 2003 76 80
    • (2003) Internet Computing IEEE , vol.7 , Issue.1 , pp. 76-80
    • Linden, G.1    Smith, B.2    York, J.3
  • 24
    • 48349093367 scopus 로고    scopus 로고
    • A collaborative filtering framework based on both local user similarity and global user similarity
    • H. Luo, C. Niu, R. Shen, and C. Ullrich A collaborative filtering framework based on both local user similarity and global user similarity Machine Learning 72 3 2008 231 245
    • (2008) Machine Learning , vol.72 , Issue.3 , pp. 231-245
    • Luo, H.1    Niu, C.2    Shen, R.3    Ullrich, C.4
  • 25
    • 32844472646 scopus 로고    scopus 로고
    • Trust-aware collaborative filtering for recommender systems
    • Massa, P.; Avesani, P. (2004). Trust-aware collaborative filtering for recommender systems. CoopIS/DOA/ODBASE (1), 492-508.
    • (2004) CoopIS/DOA/ODBASE , vol.1 , pp. 492-508
    • Massa, P.1    Avesani, P.2
  • 32
  • 33
    • 38649132264 scopus 로고    scopus 로고
    • Applications of wavelet data reduction in recommender systems
    • S. Russell, and V. Yoon Applications of wavelet data reduction in recommender systems Expert Systems with Applications 34 4 2008 2316 2325
    • (2008) Expert Systems with Applications , vol.34 , Issue.4 , pp. 2316-2325
    • Russell, S.1    Yoon, V.2
  • 39
    • 42149193177 scopus 로고    scopus 로고
    • A recursive prediction algorithm for collaborative filtering recommender systems
    • Minneapolis, Minnesota, USA
    • Zhang, J.; & Pu, P. (2007). A recursive prediction algorithm for collaborative filtering recommender systems. In Proceedings of the 2007 ACM conference on recommender systems(RecSys'07) (pp. 57-64). Minneapolis, Minnesota, USA.
    • (2007) Proceedings of the 2007 ACM Conference on Recommender systems(RecSys'07) , pp. 57-64
    • Zhang, J.1    Pu, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.