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Volumn , Issue , 2008, Pages 312-317

A mixture imputation-boosted collaborative filter

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; FORECASTING; SIGNAL FILTERING AND PREDICTION;

EID: 55849109602     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (18)

References (19)
  • 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., and Tuzhilin, A., 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), pp. 734-749, 2005.
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.6 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 3
    • 55849138803 scopus 로고    scopus 로고
    • Buuren, S.V. and Oudshoorn, C.G.M. Flexible Multivariate Imputation by Mice. Leiden: TNO Preventie en Gezondheid, TNO/VGZ/99.054, 1999.
    • Buuren, S.V. and Oudshoorn, C.G.M. Flexible Multivariate Imputation by Mice. Leiden: TNO Preventie en Gezondheid, TNO/VGZ/PG 99.054, 1999.
  • 6
    • 0031502914 scopus 로고    scopus 로고
    • An Empirical Evaluation of the Predictive Mean Matching Method for Imputing Missing Values
    • Landerman, L.R., Land, K.C. and Pieper, C.F. An Empirical Evaluation of the Predictive Mean Matching Method for Imputing Missing Values." Sociological Methods & Research 26: 3-33, 1997.
    • (1997) Sociological Methods & Research , vol.26 , pp. 3-33
    • Landerman, L.R.1    Land, K.C.2    Pieper, C.F.3
  • 9
    • 58149183811 scopus 로고    scopus 로고
    • Marlin, B.M., Zemel, R.S., Roweis, S., Slaney, M., Collaborative Filtering and the Missing at Random Assumption, UAI, 2007.
    • Marlin, B.M., Zemel, R.S., Roweis, S., Slaney, M., Collaborative Filtering and the Missing at Random Assumption, UAI, 2007.
  • 11
    • 24944485230 scopus 로고    scopus 로고
    • Improvement of Collaborative Filtering with the Simple Bayesian Classifier
    • Miyahara, K., and Pazzani, M.J. Improvement of Collaborative Filtering with the Simple Bayesian Classifier, Information Processing Society of Japan, 43(11), 2002.
    • (2002) Information Processing Society of Japan , vol.43 , Issue.11
    • Miyahara, K.1    Pazzani, M.J.2
  • 13
    • 51349151355 scopus 로고    scopus 로고
    • Analysis of Incomplete Multivariate Data
    • Chapman and Hall
    • Schafer, J.L. Analysis of Incomplete Multivariate Data, New York: Chapman and Hall, 1997.
    • (1997) New York
    • Schafer, J.L.1
  • 16
    • 38949184555 scopus 로고    scopus 로고
    • Collaborative Filtering for Multi-class Data Using Belief Net Algorithms
    • Su, X. and Khoshgoftaar, T.M. Collaborative Filtering for Multi-class Data Using Belief Net Algorithms, IEEE ICTAI, pp 497-504, 2006.
    • (2006) IEEE ICTAI , pp. 497-504
    • Su, X.1    Khoshgoftaar, T.M.2
  • 17
    • 55849132315 scopus 로고    scopus 로고
    • Imputation-Boosted Collaborative Filtering Using Machine Learning Classifiers
    • Su, X., Khoshgoftaar, T.M., X. Zhu, and R. Greiner, Imputation-Boosted Collaborative Filtering Using Machine Learning Classifiers, ACM SAC, 2008
    • ACM SAC, 2008
    • Su, X.1    Khoshgoftaar, T.M.2    Zhu, X.3    Greiner, R.4
  • 19
    • 51949115207 scopus 로고    scopus 로고
    • A Semiparametric Predictive Mean Matching: An Empirical Eavaluation
    • Bonn, Germany
    • Zio, M.D., and Guarnera, U., A Semiparametric Predictive Mean Matching: An Empirical Eavaluation, Conference of European Statistics, Bonn, Germany, 2006.
    • (2006) Conference of European Statistics
    • Zio, M.D.1    Guarnera, U.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.