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Volumn 42, Issue 7, 2015, Pages 3801-3812

Enhancing memory-based collaborative filtering for group recommender systems

Author keywords

Collaborative filtering technique; Group recommendation system; Item based approach; Sparsity problem; User based approach

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING SYSTEMS; RECOMMENDER SYSTEMS;

EID: 84921536598     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2014.11.042     Document Type: Article
Times cited : (114)

References (63)
  • 1
    • 84899667268 scopus 로고    scopus 로고
    • Power coefficient as a similarity measure for memory-based collaborative recommender systems
    • M.Y.H. Al-Shamri Power coefficient as a similarity measure for memory-based collaborative recommender systems Expert Systems with Applications 41 13 2014 5680 5688
    • (2014) Expert Systems with Applications , vol.41 , Issue.13 , pp. 5680-5688
    • Al-Shamri, M.Y.H.1
  • 3
    • 0242498568 scopus 로고    scopus 로고
    • Intrigue: Personalized recommendation of tourist attractions for desktop and hand held devices
    • L. Ardissono, A. Goy, G. Petrone, M. Segnan, and P. Torasso Intrigue: Personalized recommendation of tourist attractions for desktop and hand held devices Applied Artificial Intelligence 17 8-9 2003 687 714
    • (2003) Applied Artificial Intelligence , vol.17 , Issue.89 , pp. 687-714
    • Ardissono, L.1    Goy, A.2    Petrone, G.3    Segnan, M.4    Torasso, P.5
  • 10
    • 84958760418 scopus 로고    scopus 로고
    • RecTree: An Efficient Collaborative Filtering Method
    • Y. Kambayashi, W. Winiwarter, M. Arikawa, Springer Berlin Heidelberg
    • S. Chee, J. Han, and K. Wang RecTree: An Efficient Collaborative Filtering Method Y. Kambayashi, W. Winiwarter, M. Arikawa, Data Warehousing and Knowledge Discovery Vol. 2114 2001 Springer Berlin Heidelberg 141 151
    • (2001) Data Warehousing and Knowledge Discovery , vol.2114 , pp. 141-151
    • Chee, S.1    Han, J.2    Wang, K.3
  • 11
    • 37349129771 scopus 로고    scopus 로고
    • A group recommendation system with consideration of interactions among group members
    • Y.-L. Chen, L.-C. Cheng, and C.-N. Chuang A group recommendation system with consideration of interactions among group members Expert Systems with Applications 34 3 2008 2082 2090 10.1016/j.eswa.2007.02.008
    • (2008) Expert Systems with Applications , vol.34 , Issue.3 , pp. 2082-2090
    • Chen, Y.-L.1    Cheng, L.-C.2    Chuang, C.-N.3
  • 12
    • 79959966873 scopus 로고    scopus 로고
    • Entertainment recommender systems for group of users
    • I.A. Christensen, and S. Schiaffino Entertainment recommender systems for group of users Expert Systems with Applications 38 11 2011 14127 14135 10.1016/j.eswa.2011.04.221
    • (2011) Expert Systems with Applications , vol.38 , Issue.11 , pp. 14127-14135
    • Christensen, I.A.1    Schiaffino, S.2
  • 16
    • 84861831623 scopus 로고    scopus 로고
    • Similarity of users' (content-based) preference models for collaborative filtering in few ratings scenario
    • A. Eckhardt Similarity of users' (content-based) preference models for collaborative filtering in few ratings scenario Expert Systems with Applications 39 14 2012 11511 11516
    • (2012) Expert Systems with Applications , vol.39 , Issue.14 , pp. 11511-11516
    • Eckhardt, A.1
  • 19
    • 0002549585 scopus 로고    scopus 로고
    • Eigentaste: A constant time collaborative filtering algorithm
    • K. Goldberg, T. Roeder, D. Gupta, and C. Perkins Eigentaste: A constant time collaborative filtering algorithm Information Retrieval 4 2 2001 133 151
    • (2001) Information Retrieval , vol.4 , Issue.2 , pp. 133-151
    • Goldberg, K.1    Roeder, T.2    Gupta, D.3    Perkins, C.4
  • 25
    • 3042819722 scopus 로고    scopus 로고
    • Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering
    • Z. Huang, H. Chen, and D. Zeng Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering ACM Transactions on Information Systems 22 1 2004 116 142 10.1145/963770.963775
    • (2004) ACM Transactions on Information Systems , vol.22 , Issue.1 , pp. 116-142
    • Huang, Z.1    Chen, H.2    Zeng, D.3
  • 26
    • 38849183481 scopus 로고    scopus 로고
    • Recommendation to groups
    • Springer
    • A. Jameson, and B. Smyth Recommendation to groups The adaptive web 2007 Springer 596 627
    • (2007) The Adaptive Web , pp. 596-627
    • Jameson, A.1    Smyth, B.2
  • 28
    • 84867575198 scopus 로고    scopus 로고
    • A novel approach to hybrid recommendation systems based on association rules mining for content recommendation in asynchronous discussion groups
    • A.A. Kardan, and M. Ebrahimi A novel approach to hybrid recommendation systems based on association rules mining for content recommendation in asynchronous discussion groups Information Sciences 219 2013 93 110 10.1016/j.ins.2012.07.011
    • (2013) Information Sciences , vol.219 , pp. 93-110
    • Kardan, A.A.1    Ebrahimi, M.2
  • 30
    • 85008044987 scopus 로고    scopus 로고
    • Matrix factorization techniques for recommender systems
    • Y. Koren, R. Bell, and C. Volinsky Matrix factorization techniques for recommender systems Computer 42 8 2009 30 37
    • (2009) Computer , vol.42 , Issue.8 , pp. 30-37
    • Koren, Y.1    Bell, R.2    Volinsky, C.3
  • 36
    • 26444590922 scopus 로고    scopus 로고
    • Recommender systems using support vector machines
    • Springer
    • S.-H. Min, and I. Han Recommender systems using support vector machines Web engineering 2005 Springer 387 393
    • (2005) Web Engineering , pp. 387-393
    • Min, S.-H.1    Han, I.2
  • 37
    • 84868332161 scopus 로고    scopus 로고
    • Fast group recommendations by applying user clustering
    • P. Atzeni, D. Cheung, S. Ram, Springer Berlin Heidelberg
    • E. Ntoutsi, K. Stefanidis, K. Nørvåg, and H.-P. Kriegel Fast group recommendations by applying user clustering P. Atzeni, D. Cheung, S. Ram, Conceptual modeling 2012 Springer Berlin Heidelberg 126 140
    • (2012) Conceptual Modeling , pp. 126-140
    • Ntoutsi, E.1    Stefanidis, K.2    Nørvåg, K.3    Kriegel, H.-P.4
  • 40
    • 84862777391 scopus 로고    scopus 로고
    • A literature review and classification of recommender systems research
    • D.H. Park, H.K. Kim, I.Y. Choi, and J.K. Kim A literature review and classification of recommender systems research Expert Systems with Applications 39 11 2012 10059 10072 10.1016/j.eswa.2012.02.038
    • (2012) Expert Systems with Applications , vol.39 , Issue.11 , pp. 10059-10072
    • Park, D.H.1    Kim, H.K.2    Choi, I.Y.3    Kim, J.K.4
  • 41
    • 85010341762 scopus 로고    scopus 로고
    • Artificial Neural Networks for Pollution Forecast
    • Vanda Villanyi InTech 978-953-307-143-5 10.5772/10050 < >
    • E. Pasero, and L. Mesin Artificial Neural Networks for Pollution Forecast Vanda Villanyi Air Pollution 2010 InTech 978-953-307-143-5 10.5772/10050 < http://www.intechopen.com/books/air-pollution/artificial-neural-networks-for-pollution-forecast >
    • (2010) Air Pollution
    • Pasero, E.1    Mesin, L.2
  • 42
    • 57949113756 scopus 로고    scopus 로고
    • Improving regularized singular value decomposition for collaborative filtering
    • Paterek, A. (2007). Improving regularized singular value decomposition for collaborative filtering. In Paper presented at the proceedings of KDD cup and workshop.
    • (2007) The Proceedings of KDD Cup and Workshop
    • Paterek, A.1
  • 48
    • 3042788736 scopus 로고    scopus 로고
    • Application of dimensionality reduction in recommender system-A case study
    • Sarwar, B.; Karypis, G.; Konstan, J.; & Riedl, J. (2000). Application of dimensionality reduction in recommender system-a case study. In Paper presented at the ACM WebKDD 2000 workshop.
    • (2000) ACM WebKDD 2000 Workshop
    • Sarwar, B.1    Karypis, G.2    Konstan, J.3    Riedl, J.4
  • 51
    • 4043137356 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • A.J. Smola, and B. Schölkopf A tutorial on support vector regression Statistics and Computing 14 3 2004 199 222
    • (2004) Statistics and Computing , vol.14 , Issue.3 , pp. 199-222
    • Smola, A.J.1    Schölkopf, B.2
  • 56
    • 33644845063 scopus 로고    scopus 로고
    • Facilitating the application of support vector regression by using a universal Pearson VII function based kernel
    • B. Üstün, W.J. Melssen, and L.M. Buydens Facilitating the application of support vector regression by using a universal Pearson VII function based kernel Chemometrics and Intelligent Laboratory Systems 81 1 2006 29 40
    • (2006) Chemometrics and Intelligent Laboratory Systems , vol.81 , Issue.1 , pp. 29-40
    • Üstün, B.1    Melssen, W.J.2    Buydens, L.M.3
  • 57
    • 20344379940 scopus 로고    scopus 로고
    • Collaborative filtering using a regression-based approach
    • S. Vucetic, and Z. Obradovic Collaborative filtering using a regression-based approach Knowledge and Information Systems 7 1 2005 1 22 10.1007/s10115-003-0123-8
    • (2005) Knowledge and Information Systems , vol.7 , Issue.1 , pp. 1-22
    • Vucetic, S.1    Obradovic, Z.2
  • 63
    • 33746058968 scopus 로고    scopus 로고
    • TV program recommendation for multiple viewers based on user profile merging
    • Z. Yu, X. Zhou, Y. Hao, and J. Gu TV program recommendation for multiple viewers based on user profile merging User Modeling and User-Adapted Interaction 16 1 2006 63 82
    • (2006) User Modeling and User-Adapted Interaction , vol.16 , Issue.1 , pp. 63-82
    • Yu, Z.1    Zhou, X.2    Hao, Y.3    Gu, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.