메뉴 건너뛰기




Volumn 41, Issue 7, 2014, Pages 3261-3275

Leveraging clustering approaches to solve the gray-sheep users problem in recommender systems

Author keywords

Collaborative filtering; Gray sheep users; K Means clustering; Recommender systems

Indexed keywords

COLLABORATIVE FILTERING; DATA MINING; LEARNING SYSTEMS; RECOMMENDER SYSTEMS;

EID: 84890592321     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2013.11.010     Document Type: Article
Times cited : (107)

References (57)
  • 5
    • 84875736021 scopus 로고    scopus 로고
    • A scalable privacy-preserving recommendation scheme via bisecting k-means clustering
    • A. Bilge, and H. Polat A scalable privacy-preserving recommendation scheme via bisecting k-means clustering Information Processing & Management 49 2013 912 927
    • (2013) Information Processing & Management , vol.49 , pp. 912-927
    • Bilge, A.1    Polat, H.2
  • 8
    • 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
  • 9
    • 57349141441 scopus 로고    scopus 로고
    • A multilayer ontology-based hybrid recommendation model
    • I. Cantador, A. Bellogín, and P. Castells A multilayer ontology-based hybrid recommendation model AI Communications 21 2008 203 210
    • (2008) AI Communications , vol.21 , pp. 203-210
    • Cantador, I.1    Bellogín, A.2    Castells, P.3
  • 15
    • 84855818100 scopus 로고    scopus 로고
    • Incremental kernel mapping algorithms for scalable recommender systems
    • Ghazanfar, M. A., Szedmák, S., & Prügel-Bennett, A. (2011). Incremental kernel mapping algorithms for scalable recommender systems. In ICTAI (pp. 1077-1084).
    • (2011) ICTAI , pp. 1077-1084
    • Ghazanfar, M.A.1
  • 16
    • 77956492118 scopus 로고    scopus 로고
    • Building switching hybrid recommender system using machine learning classifiers and collaborative filtering
    • M.A. Ghazanfar, and A. Prügel-Bennett Building switching hybrid recommender system using machine learning classifiers and collaborative filtering IAENG International Journal of Computer Science 37 2010 272 287
    • (2010) IAENG International Journal of Computer Science , vol.37 , pp. 272-287
    • Ghazanfar, M.A.1    Prügel-Bennett, A.2
  • 18
    • 84877038094 scopus 로고    scopus 로고
    • The advantage of careful imputation sources in sparse data-environment of recommender systems: Generating improved svd-based recommendations
    • M.A. Ghazanfar, and A. Prügel-Bennett The advantage of careful imputation sources in sparse data-environment of recommender systems: Generating improved svd-based recommendations Informatica 13 2013 61 92
    • (2013) Informatica , vol.13 , pp. 61-92
    • Ghazanfar, M.A.1    Prügel-Bennett, A.2
  • 21
    • 3042829247 scopus 로고    scopus 로고
    • An empirical analysis of design choices in neighborhood-based collaborative filtering algorithms
    • J. Herlocker, J.A. Konstan, and J. Riedl An empirical analysis of design choices in neighborhood-based collaborative filtering algorithms Information Retrieval 5 2002 287 310
    • (2002) Information Retrieval , vol.5 , pp. 287-310
    • Herlocker, J.1    Konstan, J.A.2    Riedl, J.3
  • 23
    • 77950369345 scopus 로고    scopus 로고
    • Data clustering: 50 years beyond k-means
    • A.K. Jain Data clustering: 50 years beyond k-means Pattern Recognition Letters 31 2010 651 666
    • (2010) Pattern Recognition Letters , vol.31 , pp. 651-666
    • Jain, A.K.1
  • 27
    • 48249111905 scopus 로고    scopus 로고
    • Methods for large scale SVD with missing values
    • Citeseer
    • Kurucz, M., Benczúr, A., & Csalogány, K. (2007). Methods for large scale SVD with missing values. In Proceedings of KDD cup and workshop. Citeseer.
    • (2007) Proceedings of KDD Cup and Workshop
    • Kurucz, M.1
  • 29
    • 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 IEEE Internet Computing 7 2003 76 80
    • (2003) IEEE Internet Computing , vol.7 , pp. 76-80
    • Linden, G.1    Smith, B.2    York, J.3
  • 34
    • 81855166958 scopus 로고    scopus 로고
    • Making use of associative classifiers in order to alleviate typical drawbacks in recommender systems
    • J. Pinho Lucas, S. Segrera, and M.N. Moreno Making use of associative classifiers in order to alleviate typical drawbacks in recommender systems Expert Systems with Applications 39 2012 1273 1283
    • (2012) Expert Systems with Applications , vol.39 , pp. 1273-1283
    • Pinho Lucas, J.1    Segrera, S.2    Moreno, M.N.3
  • 40
    • 0013312710 scopus 로고    scopus 로고
    • Application of dimensionality reduction in recommender system - A case study
    • Citeseer
    • Sarwar, B., Karypis, G., Konstan, J., & Riedl, J. (2000b). Application of dimensionality reduction in recommender system - A case study. In IN ACM WEBKDD WORKSHOP. Citeseer.
    • (2000) ACM webkdd workshop
    • Sarwar, B.1    Karypis, G.2    Konstan, J.3    Riedl, J.4
  • 43
    • 0002442796 scopus 로고    scopus 로고
    • Machine learning in automated text categorization
    • F. Sebastiani Machine learning in automated text categorization ACM Computing Surveys 34 2002 1 47
    • (2002) ACM Computing Surveys , vol.34 , pp. 1-47
    • Sebastiani, F.1
  • 47
    • 35048838198 scopus 로고    scopus 로고
    • Hierarchical agglomerative clustering for agent-based dynamic collaborative filtering
    • Uchyigit, G., & Clark, K. (2004). Hierarchical agglomerative clustering for agent-based dynamic collaborative filtering. In IDEAL (pp. 827-832).
    • (2004) IDEAL , pp. 827-832
    • Uchyigit, G.1    Clark, K.2
  • 50
    • 33744718855 scopus 로고    scopus 로고
    • On the enhancement of collaborative filtering by demographic data
    • M. Vozalis, and K.G. Margaritis On the enhancement of collaborative filtering by demographic data Web Intelligence and Agent Systems 4 2006 117 138 (Pubitemid 43823076)
    • (2006) Web Intelligence and Agent Systems , vol.4 , Issue.2 , pp. 117-138
    • Vozalis, M.1    Margaritis, K.G.2
  • 51
    • 34248233686 scopus 로고    scopus 로고
    • Using SVD and demographic data for the enhancement of generalized Collaborative Filtering
    • DOI 10.1016/j.ins.2007.02.036, PII S0020025507001223
    • M. Vozalis, and K.G. Margaritis Using SVD and demographic data for the enhancement of generalized collaborative filtering Information Sciences 177 2007 3017 3037 (Pubitemid 46719184)
    • (2007) Information Sciences , vol.177 , Issue.15 , pp. 3017-3037
    • Vozalis, M.G.1    Margaritis, K.G.2
  • 53
    • 84890628326 scopus 로고    scopus 로고
    • Evaluating knowledge management in heterogeneous domains by agent-based simulation
    • M. Wurst Evaluating knowledge management in heterogeneous domains by agent-based simulation Agent Mediated Knowledge Management 2005 82
    • (2005) Agent Mediated Knowledge Management , pp. 82
    • Wurst, M.1
  • 57
    • 0038547942 scopus 로고    scopus 로고
    • Recommender systems using linear classifiers
    • DOI 10.1162/153244302760200641
    • T. Zhang, and V.S. Iyengar Recommender systems using linear classifiers Journal of Machine Learning Research 2 2002 313 334 (Pubitemid 135712564)
    • (2002) Journal of Machine Learning Research , vol.2 , Issue.3 , pp. 313-334
    • Zhang, T.1    Iyengar, V.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.