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Volumn , Issue , 2004, Pages 185-191

Probabilistic model estimation for collaborative filtering based on items attributes

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CORRELATION METHODS; DATABASE SYSTEMS; MATHEMATICAL MODELS; PROBABILITY; PROBLEM SOLVING;

EID: 15544365869     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (25)

References (21)
  • 1
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    • San Francisco, USA
    • Bradley, P. S. and Fayyad U.M. "Refining Initial Points for K-Means Clustering". ICML '98. San Francisco, USA. pp. 91- 99, 1998.
    • (1998) ICML '98 , pp. 91-99
    • Bradley, P.S.1    Fayyad, U.M.2
  • 5
    • 85015559680 scopus 로고    scopus 로고
    • An algorithmic framework for performing collaborative filtering
    • Herlocker, J., Konstan, J., Borchers A., and Riedl, J.. "An algorithmic framework for performing collaborative Filtering", In Proc. ACM-SIGIR Conf., pp. 230-237, 1999.
    • (1999) Proc. ACM-SIGIR Conf. , pp. 230-237
    • Herlocker, J.1    Konstan, J.2    Borchers, A.3    Riedl, J.4
  • 7
    • 1942516799 scopus 로고    scopus 로고
    • Flexible mixture model for collaborative filtering
    • Luo Si, Rong Jin. "Flexible Mixture Model for Collaborative Filtering". In Proc. of ICML 2003, pp.704-711, 2003.
    • (2003) Proc. of ICML 2003 , pp. 704-711
    • Si, L.1    Jin, R.2
  • 9
    • 52649167800 scopus 로고    scopus 로고
    • Accurate Web recommendations based on profile-specific URL-predictor neural networks
    • NY
    • O. Nasraoui and M. Pavuluri, "Accurate Web Recommendations Based on Profile-Specific URL-Predictor Neural Networks". In Proc. of WWW, NY, 2004.
    • (2004) Proc. of WWW
    • Nasraoui, O.1    Pavuluri, M.2
  • 10
    • 15544372824 scopus 로고    scopus 로고
    • A context ultra-sensitive approach to high quality Web recommendations based on Web usage mining and neural network committees
    • O. Nasraoui and M. Pavuluri, "A Context Ultra-Sensitive Approach to High Quality Web Recommendations based on Web Usage Mining and Neural Network Committees". In Proc. of "International Web Dynamics Workshop", WWW NY, 2004.
    • Proc. of "International Web Dynamics Workshop", WWW NY, 2004
    • Nasraoui, O.1    Pavuluri, M.2
  • 16
    • 15544377080 scopus 로고    scopus 로고
    • Collaborative filtering with decoupled models for preferences and ratings
    • Rong Jin, Luo Si, Chengxiang Zhai, James P. Callan. "Collaborative filtering with decoupled models for preferences and ratings". CIKM 2003, pp.309-316, 2003.
    • (2003) CIKM 2003 , pp. 309-316
    • Jin, R.1    Si, L.2    Zhai, C.3    Callan, J.P.4
  • 18
    • 1542377533 scopus 로고    scopus 로고
    • Collaborative filtering via Gaussian probabilistic latent semantic analysis
    • T. Hofmann. "Collaborative Filtering via Gaussian Probabilistic Latent Semantic Analysis". In Proc. SIGIR'03, pp.259-266, 2003.
    • (2003) Proc. SIGIR'03 , pp. 259-266
    • Hofmann, T.1
  • 21
    • 3042819722 scopus 로고    scopus 로고
    • Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering
    • Zan Huang, Hsinchun Chen and Daniel Zeng. 2004. "Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering". ACM TOIS archive Volume 22, Issue 1.
    • (2004) ACM TOIS Archive , vol.22 , Issue.1
    • Huang, Z.1    Chen, H.2    Zeng, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.