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Volumn 16, Issue 5, 2007, Pages 771-792

A hybrid movie recommender system based on neural networks

Author keywords

Collaborative filtering; Content based filtering; Hybrid systems; Recommender

Indexed keywords

BOOLEAN ALGEBRA; FUZZY LOGIC; INFORMATION SYSTEMS; MATHEMATICAL OPERATORS;

EID: 35548954753     PISSN: 02182130     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218213007003540     Document Type: Article
Times cited : (69)

References (41)
  • 1
    • 35549011529 scopus 로고    scopus 로고
    • http://www.internetworldstats.com/stats.htm
  • 2
    • 33751431176 scopus 로고    scopus 로고
    • Supporting People in Finding Information: Hybrid Recommender Systems and Goal-based Structuring
    • Ph.D. Thesis, Telematica Instituut, The Netherlands
    • M. van Setten, "Supporting People in Finding Information: Hybrid Recommender Systems and Goal-based Structuring", Ph.D. Thesis, Telematica Instituut, The Netherlands, 2005.
    • (2005)
    • van Setten, M.1
  • 4
    • 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, 2002, pp. 331-370.
    • (2002) User Modeling and User-Adapted Interaction , pp. 331-370
    • Burke, R.1
  • 5
    • 20844435854 scopus 로고    scopus 로고
    • Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions
    • June
    • G. Adomavicious and A. Tuzhilin, "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, Vol. 17, No. 6, June 2005, pp. 734-749.
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.6 , pp. 734-749
    • Adomavicious, G.1    Tuzhilin, A.2
  • 9
    • 0033325071 scopus 로고    scopus 로고
    • A Framework for Collaborative, Content-Based and Demographic Filtering
    • M. J. Pazzani, "A Framework for Collaborative, Content-Based and Demographic Filtering", Artificial Intelligence Review 13, 1999, pp. 393-408.
    • (1999) Artificial Intelligence Review , vol.13 , pp. 393-408
    • Pazzani, M.J.1
  • 14
    • 85088713349 scopus 로고    scopus 로고
    • Collecting User Access Patterns for Building user Profiles and Collaborative Filtering
    • Los Angeles, California, United States
    • A.M.A. Wasfi, "Collecting User Access Patterns for Building user Profiles and Collaborative Filtering", in Proc. Forth International Conference on Intelligent User Interfaces, Los Angeles, California, United States, 1998, pp. 57-64.
    • (1998) Proc. Forth International Conference on Intelligent User Interfaces , pp. 57-64
    • Wasfi, A.M.A.1
  • 17
    • 35548996393 scopus 로고    scopus 로고
    • http://www.amazon.com
  • 18
    • 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, 1992, pp. 61-70.
    • (1992) Communications of the ACM , vol.35 , pp. 61-70
    • Goldberg, D.1    Nichols, D.2    Oki, B.M.3    Terry, D.4
  • 19
    • 0002549585 scopus 로고    scopus 로고
    • Eigentaste: A constant-time collaborative filtering algorithm
    • K. Goldberg, T. Roeder, D. Guptra, and C. Perkins, "Eigentaste: A constant-time collaborative filtering algorithm", Information Retrieval 4, 2001, pp. 133-151.
    • (2001) Information Retrieval , vol.4 , pp. 133-151
    • Goldberg, K.1    Roeder, T.2    Guptra, D.3    Perkins, C.4
  • 20
    • 0029179043 scopus 로고
    • Social information filtering: Algorithms for automating 'word of mouth'
    • Denver, Colorado, United States
    • U. Shardanand, and P. Maes, "Social information filtering: Algorithms for automating 'word of mouth'", in Proc. ACM SIGCHI Conference on Human Factors in Computing Systems, Denver, Colorado, United States, 1995, pp. 210-217.
    • (1995) Proc. ACM SIGCHI Conference on Human Factors in Computing Systems , pp. 210-217
    • Shardanand, U.1    Maes, P.2
  • 24
    • 0031168547 scopus 로고    scopus 로고
    • Learning and Revising User Profiles: The Identification of Interesting Web Sites
    • Kluwer Academic Publishers, pp
    • M. Pazzani and D. Billsus, "Learning and Revising User Profiles: The Identification of Interesting Web Sites", Machine Learning 27, 1997, Kluwer Academic Publishers, pp. 313-331.
    • (1997) Machine Learning , vol.27 , pp. 313-331
    • Pazzani, M.1    Billsus, D.2
  • 25
    • 35548966755 scopus 로고    scopus 로고
    • http://movielens.umn.edu
  • 26
    • 35548957423 scopus 로고    scopus 로고
    • http://www.wikipedia.org
  • 27
    • 0031103679 scopus 로고    scopus 로고
    • Fab: Content-Based, Collaborative Recommendation
    • M. Balabanovic and Y. Shoham, "Fab: Content-Based, Collaborative Recommendation", Communications of the ACM 40(3), 1997, pp. 66-72.
    • (1997) Communications of the ACM , vol.40 , Issue.3 , pp. 66-72
    • Balabanovic, M.1    Shoham, Y.2
  • 31
    • 0000256978 scopus 로고
    • Fuzzy aggregation of modular neural networks with ordered weighted averaging operators
    • S.-B. Cho, "Fuzzy aggregation of modular neural networks with ordered weighted averaging operators', International Journal of Approximate Reasoning, Volume 13(4), 1995, pp. 359-375.
    • (1995) International Journal of Approximate Reasoning , vol.13 , Issue.4 , pp. 359-375
    • Cho, S.-B.1
  • 37
    • 34250700692 scopus 로고    scopus 로고
    • Hybrid Collaborative Filtering and Content-Based Filtering for Improved Recommender System
    • Spinger-Verlag
    • K.-Y. Jung, D.-H. Park and J.-H. Lee, "Hybrid Collaborative Filtering and Content-Based Filtering for Improved Recommender System", in Proc. International Conference on Computational Science, Spinger-Verlag 2004, pp. 295-302.
    • (2004) Proc. International Conference on Computational Science , pp. 295-302
    • Jung, K.-Y.1    Park, D.-H.2    Lee, J.-H.3
  • 38
    • 84869135172 scopus 로고    scopus 로고
    • Making Recommendations Better: An Analytic Model for Human-Recommender Interaction
    • Montréal, Québec, Canada
    • S. McNee, J. Riedl and J. A. Konstan,"Making Recommendations Better: An Analytic Model for Human-Recommender Interaction", CHI '06 extended abstracts on Human factors in computing systems, Montréal, Québec, Canada, 2006, pp. 1103-1108.
    • (2006) CHI '06 extended abstracts on Human factors in computing systems , pp. 1103-1108
    • McNee, S.1    Riedl, J.2    Konstan, J.A.3
  • 40


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.