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Volumn 45, Issue 2, 2015, Pages 221-245

The rating prediction task in a group recommender system that automatically detects groups: architectures, algorithms, and performance evaluation

Author keywords

Clustering; Group recommendation; Rating prediction

Indexed keywords

ALGORITHMS; FORECASTING;

EID: 84947649721     PISSN: 09259902     EISSN: 15737675     Source Type: Journal    
DOI: 10.1007/s10844-014-0346-z     Document Type: Article
Times cited : (37)

References (29)
  • 1
    • 20844435854 scopus 로고    scopus 로고
    • Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
    • Adomavicius, G., & Tuzhilin, A. (2005). Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering, 17(6), 734–749.
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.6 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 2
    • 84864593808 scopus 로고    scopus 로고
    • Data mining methods for recommender systems
    • Ricci F, Rokach L, Shapira B, Kantor PB, (eds), Springer, Boston
    • Amatriain, X., Jaimes, A., Oliver, N., Pujol, J.M. (2011). Data mining methods for recommender systems. In: Ricci, F., Rokach, L., Shapira, B., Kantor, P.B. (Eds.) In Recommender Systems Handbook (pp. 39–71). Springer: Boston.
    • (2011) Recommender Systems Handbook , pp. 39-71
    • Amatriain, X.1    Jaimes, A.2    Oliver, N.3    Pujol, J.M.4
  • 3
    • 78049301323 scopus 로고    scopus 로고
    • State-of-the-art in group recommendation and new approaches for automatic identification of groups
    • Springer, Berlin Heidelberg
    • Boratto, L., & Carta, S. (2011). State-of-the-art in group recommendation and new approaches for automatic identification of groups. In Information Retrieval and Mining in Distributed Environments (pp. 1–20). Springer: Berlin Heidelberg.
    • (2011) Information Retrieval and Mining in Distributed Environments , pp. 1-20
    • Boratto, L.1    Carta, S.2
  • 7
    • 84890092521 scopus 로고    scopus 로고
    • CEUR Workshop Proceedings, vol
    • Boratto, L., Carta, S., Satta, M. (2010). Groups identification and individual recommendations in group recommendation algorithms. In J. Picault, D. Kostadinov, P. Castells, A. Jaimes (Eds.) Practical Use of Recommender Systems, Algorithms and Technologies 2010, CEUR Workshop Proceedings, vol. 676, http://ceur-ws.org/Vol-676/paper4.pdf.
    • (2010) 676
  • 10
    • 81055135842 scopus 로고    scopus 로고
    • A comprehensive survey of neighborhood-based recommendation methods
    • Springer, Berlin
    • Desrosiers, C., & Karypis, G. (2011). A comprehensive survey of neighborhood-based recommendation methods. In Recommender Systems Handbook (pp. 107–144). Springer: Berlin.
    • (2011) Recommender Systems Handbook , pp. 107-144
    • Desrosiers, C.1    Karypis, G.2
  • 11
    • 1342323479 scopus 로고    scopus 로고
    • Fit-recommend ing tv programs to family members
    • Goren-Bar, D., & Glinansky, O. (2004). Fit-recommend ing tv programs to family members. Computers & Graphics, 28(2), 149–156.
    • (2004) Computers & Graphics , vol.28 , Issue.2 , pp. 149-156
    • Goren-Bar, D.1    Glinansky, O.2
  • 13
    • 84876515155 scopus 로고    scopus 로고
    • Jameson, A. (2004). More than the sum of its members: challenges for group recommender systems. (pp. 48–54). ACM Press
    • Jameson, A. (2004). More than the sum of its members: challenges for group recommender systems. In Proceedings of the working conference on Advanced visual interfaces (pp. 48–54). ACM Press.
    • Proceedings of the working conference on Advanced visual interfaces
  • 15
    • 82255175649 scopus 로고    scopus 로고
    • Attribute selection-based recommendation framework for short-head user group: An empirical study by movielens and imdb
    • Jung, J.J. (2012). Attribute selection-based recommendation framework for short-head user group: An empirical study by movielens and imdb. Expert Systems with Applications, 39(4), 4049–4054.
    • (2012) Expert Systems with Applications , vol.39 , Issue.4 , pp. 4049-4054
    • Jung, J.J.1
  • 17
    • 84947650458 scopus 로고    scopus 로고
    • MacQueen, J.B. (1967). Some methods for lclassification and analysis of multivariate observations (vol. 1, pp. 281–297). University of California Press
    • MacQueen, J.B. (1967). Some methods for classification and analysis of multivariate observations. In Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability (vol. 1, pp. 281–297). University of California Press.
    • Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability
  • 18
    • 84909606197 scopus 로고    scopus 로고
    • Design and architecture of a friend recommender system in the social bookmarking domain
    • Manca, M., Boratto, L., Carta, S. (2014a). Design and architecture of a friend recommender system in the social bookmarking domain. In Proceedings of the Science and Information Conference 2014 (pp. 838–842).
    • (2014) In Proceedings of the Science and Information Conference , vol.2014 , pp. 838-842
    • Manca, M.1    Boratto, L.2    Carta, S.3
  • 20
    • 82555203980 scopus 로고    scopus 로고
    • Group recommender systems: Combining individual models
    • Springer, Berlin
    • Masthoff, J. (2011). Group recommender systems: Combining individual models. In Recommender Systems Handbook (pp. 677–702). Springer: Berlin.
    • (2011) Recommender Systems Handbook , pp. 677-702
    • Masthoff, J.1
  • 24
    • 84947650062 scopus 로고    scopus 로고
    • O’Connor, M., Cosley, D., Konstan, J.A., Riedl, J. (2001). Polylens: A recommender system for groups of user. (pp. 199–218). Kluwer
    • O’Connor, M., Cosley, D., Konstan, J.A., Riedl, J. (2001). Polylens: A recommender system for groups of user. In Proceedings of the Seventh European Conference on Computer Supported Cooperative Work (pp. 199–218). Kluwer.
    • Proceedings of the Seventh European Conference on Computer Supported Cooperative Work
  • 25
    • 79960493432 scopus 로고    scopus 로고
    • Introduction to recommender systems handbook
    • Springer, Berlin
    • Ricci, F., Rokach, L., Shapira, B. (2011). Introduction to recommender systems handbook. In Recommender Systems Handbook (pp. 1–35). Springer: Berlin.
    • (2011) Recommender Systems Handbook , pp. 1-35
    • Ricci, F.1    Rokach, L.2    Shapira, B.3
  • 27
  • 28
    • 33746058968 scopus 로고    scopus 로고
    • Tv program recommendation for multiple viewers based on user profile merging
    • Yu, Z., Zhou, X., Hao, Y., Gu, J. (2006). Tv program recommendation for multiple viewers based on user profile merging. User Modeling and User-Adapted Interaction, 16(1), 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.