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Volumn , Issue , 2009, Pages 1185-1192

Large-scale collaborative prediction using a nonparametric random effects model

Author keywords

[No Author keywords available]

Indexed keywords

APRIORI; DATA SPACE; EM ALGORITHMS; NON-PARAMETRIC; NON-PARAMETRIC MODEL; OUTPUT RESPONSE; PREDICTION ACCURACY; PREDICTION PROBLEM; RANDOM EFFECTS; RANDOM EFFECTS MODEL; TRANSFER LEARNING;

EID: 71149088913     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (43)

References (21)
  • 1
    • 57049165370 scopus 로고    scopus 로고
    • The BellKor solution to the Netflix prize
    • AT&T Labs
    • Bell, R. M., Koren, Y., & Volinsky, C. (2007). The BellKor solution to the Netflix prize (Technical Report). AT&T Labs.
    • (2007) Technical Report
    • Bell, R.M.1    Koren, Y.2    Volinsky, C.3
  • 2
    • 71149087864 scopus 로고    scopus 로고
    • Bonilla, E. V., Chai, K. M. A., & Williams, C. K. I. (2008). Multi-task Gaussian process prediction. Advances in Neural Information Processing Systems 20 (NIPS), 153-160.
    • Bonilla, E. V., Chai, K. M. A., & Williams, C. K. I. (2008). Multi-task Gaussian process prediction. Advances in Neural Information Processing Systems 20 (NIPS), 153-160.
  • 3
    • 0000043041 scopus 로고
    • Some matrix-variate distribution theory: Notational considerations and a Bayesian application
    • Dawid, A. R (1981). Some matrix-variate distribution theory: notational considerations and a Bayesian application. Biometrika, 68, 265-274.
    • (1981) Biometrika , vol.68 , pp. 265-274
    • Dawid, A.R.1
  • 11
    • 71149094797 scopus 로고    scopus 로고
    • Salakhutdinov, R., & Mnih, A. (2008b). Probabilistic matrix factorization. Advances in Neural Information Processing Systems 20 (NIPS), 1257-1264.
    • Salakhutdinov, R., & Mnih, A. (2008b). Probabilistic matrix factorization. Advances in Neural Information Processing Systems 20 (NIPS), 1257-1264.
  • 13
    • 71149116890 scopus 로고    scopus 로고
    • Schwaighofer, A., Tresp, V., & Yu, K. (2005). Hierarchical Bayesian modelling with Gaussian processes. Advances in Neural Information Processing Systems 17 (NIPS), 1209-1216.
    • Schwaighofer, A., Tresp, V., & Yu, K. (2005). Hierarchical Bayesian modelling with Gaussian processes. Advances in Neural Information Processing Systems 17 (NIPS), 1209-1216.
  • 14
    • 84898932317 scopus 로고    scopus 로고
    • Srebro, N., Rennie, J. D. M., & Jaakola, T. S. (2005). Maximum-margin matrix factorization. Advances in Neural Information Processing Systems 18 (NIPS), 1329-1336.
    • Srebro, N., Rennie, J. D. M., & Jaakola, T. S. (2005). Maximum-margin matrix factorization. Advances in Neural Information Processing Systems 18 (NIPS), 1329-1336.
  • 17
    • 84864069510 scopus 로고    scopus 로고
    • Yu, K., Chu, W., Yu, S., Tresp, V., & Xu, Z. (2007). Stochastic relational models for discriminative link prediction. Advances in Neural Information Processing Systems 19 (NIPS), 1553-1560.
    • Yu, K., Chu, W., Yu, S., Tresp, V., & Xu, Z. (2007). Stochastic relational models for discriminative link prediction. Advances in Neural Information Processing Systems 19 (NIPS), 1553-1560.
  • 19
    • 72449152230 scopus 로고    scopus 로고
    • Fast nonparametric matrix factorization for large-scale collaborative filtering
    • Yu, K., Zhu, S., Lafferty, J., & Gong, Y. (2009). Fast nonparametric matrix factorization for large-scale collaborative filtering. The 32nd SIGIR conference.
    • (2009) The 32nd SIGIR conference
    • Yu, K.1    Zhu, S.2    Lafferty, J.3    Gong, Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.