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Volumn , Issue , 2005, Pages 378-385

Compound classification models for recommender systems

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SUPPORTED COOPERATIVE WORK; CUSTOMER SATISFACTION; INFORMATION RETRIEVAL; MATHEMATICAL MODELS; PROBLEM SOLVING; QUALITY CONTROL; SET THEORY;

EID: 34548573349     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2005.46     Document Type: Conference Paper
Times cited : (18)

References (20)
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    • Balabanovic, M.1    Shoham, Y.2
  • 4
    • 0002051628 scopus 로고    scopus 로고
    • Empirical analysis of predictive algorithms for collaborative filtering
    • Madison, WI, USA, July, Morgan Kaufmann
    • J. Breese, D. Heckerman, and C. Kadie. Empirical analysis of predictive algorithms for collaborative filtering. In Proc. of the Fourteenth An. Conf. on Uncertainty in AI, pages 43-52, Madison, WI, USA, July 1998. Morgan Kaufmann.
    • (1998) Proc. of the Fourteenth An. Conf. on Uncertainty in AI , pp. 43-52
    • Breese, J.1    Heckerman, D.2    Kadie, C.3
  • 5
    • 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, 12/4:331-370, 2002.
    • (2002) User Modeling and User Adapted Interaction , vol.12 , Issue.4 , pp. 331-370
    • Burke, R.1
  • 7
    • 3042821101 scopus 로고    scopus 로고
    • M. Deshpande and G. Karypis. Item-based top-n recommendation algorithms. ACM Trans. Inf. Sys., 22(1):143-177, 2004.
    • M. Deshpande and G. Karypis. Item-based top-n recommendation algorithms. ACM Trans. Inf. Sys., 22(1):143-177, 2004.
  • 8
    • 34548582869 scopus 로고    scopus 로고
    • R.-E. Fan, P.-H. Chen, and C.-J. Lin. Working set selection using the second order information for training svm. Technical report, Department of Computer Science, National Taiwan University, 2005.
    • R.-E. Fan, P.-H. Chen, and C.-J. Lin. Working set selection using the second order information for training svm. Technical report, Department of Computer Science, National Taiwan University, 2005.
  • 9
    • 84976668719 scopus 로고
    • Using collaborative filtering to weave an information tapestry
    • D. Goldberg, D. Nichols, B. Oki, and D. Terry. Using collaborative filtering to weave an information tapestry. CACM, 35(12):61-70, 1992.
    • (1992) CACM , vol.35 , Issue.12 , pp. 61-70
    • Goldberg, D.1    Nichols, D.2    Oki, B.3    Terry, D.4
  • 10
    • 3042742744 scopus 로고    scopus 로고
    • Latent semantic models for collaborative filtering
    • T. Hofmann. Latent semantic models for collaborative filtering. ACM Trans. Inf. Syst., 22(1):89-115, 2004.
    • (2004) ACM Trans. Inf. Syst , vol.22 , Issue.1 , pp. 89-115
    • Hofmann, T.1
  • 11
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multi-class support vector machines
    • C.-W. Hsu and C.-J. Lin. A comparison of methods for multi-class support vector machines. IEEE Transactions on Neural Networks, 13:415-425, 2002.
    • (2002) IEEE Transactions on Neural Networks , vol.13 , pp. 415-425
    • Hsu, C.-W.1    Lin, C.-J.2
  • 15
    • 0036932094 scopus 로고    scopus 로고
    • Content-boosted collaborative filtering for improved recommendations
    • Menlo Park, CA, USA, American Association for Artificial Intelligence
    • P. Melville, R. J. Mooney, and R. Nagarajan. Content-boosted collaborative filtering for improved recommendations. In Eighteenth national conference on Artificial intelligence, pages 187-192, Menlo Park, CA, USA, 2002. American Association for Artificial Intelligence.
    • (2002) Eighteenth national conference on Artificial intelligence , pp. 187-192
    • Melville, P.1    Mooney, R.J.2    Nagarajan, R.3
  • 17
    • 0642353354 scopus 로고
    • Relevance feedback and the optimization of retrieval effectiveness
    • G. Salton, editor, Prentice-Hall Inc, Englewood Cliffs, NJ
    • G. Salton. Relevance feedback and the optimization of retrieval effectiveness. In G. Salton, editor, The SMART system - experiments in automatic document processing, pages 324-336. Prentice-Hall Inc., Englewood Cliffs, NJ, 1971.
    • (1971) The SMART system - experiments in automatic document processing , pp. 324-336
    • Salton, G.1
  • 18
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    • Social information filtering: Algorithms for automating word of mouth
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    • U. Shardanand and P. Maes. Social information filtering: algorithms for automating "word of mouth". In Proc. of the SlGCHI conf. on Human factors in computing systems, pages 210-217. ACM Press/Addison-Wesley Publishing Co., 1995.
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    • Shardanand, U.1    Maes, P.2


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