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Volumn , Issue , 2011, Pages 265-274

Probabilistic factor models for web site recommendation

Author keywords

Matrix factorization; Probabilistic factor modeling; Recommender systems; Web site recommendation

Indexed keywords

FACTORIZATION; INFORMATION FILTERING; RECOMMENDER SYSTEMS;

EID: 80052106490     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2009916.2009955     Document Type: Conference Paper
Times cited : (84)

References (32)
  • 2
    • 0002051628 scopus 로고    scopus 로고
    • Empirical analysis of predictive algorithms for collaborative filtering
    • J. S. Breese, D. Heckerman, and C. Kadie. Empirical analysis of predictive algorithms for collaborative filtering. In Proc. of UAI '98, 1998.
    • (1998) Proc. of UAI '98
    • Breese, J.S.1    Heckerman, D.2    Kadie, C.3
  • 3
    • 0036993076 scopus 로고    scopus 로고
    • Collaborative filtering with privacy via factor analysis
    • Tampere, Finland
    • J. Canny. Collaborative filtering with privacy via factor analysis. In Proc. of SIGIR '02, pages 238-245, Tampere, Finland, 2002.
    • (2002) Proc. of SIGIR '02 , pp. 238-245
    • Canny, J.1
  • 4
    • 8644267631 scopus 로고    scopus 로고
    • GaP: A factor model for discrete data
    • Sheffield, United Kingdom
    • J. Canny. GaP: a factor model for discrete data. In Proc. of SIGIR '04, pages 122-129, Sheffield, United Kingdom, 2004.
    • (2004) Proc. of SIGIR '04 , pp. 122-129
    • Canny, J.1
  • 6
    • 35248819694 scopus 로고    scopus 로고
    • Recommendation models for user accesses to web pages
    • Istanbul, Turkey
    • S. Gündüz and M. T. Özsu. Recommendation models for user accesses to web pages. In Proc. of ICANN/ICONIP'03, pages 1003-1010, Istanbul, Turkey, 2003.
    • (2003) Proc. of ICANN/ICONIP'03 , pp. 1003-1010
    • Gündüz, S.1    Özsu, M.T.2
  • 7
    • 1542377533 scopus 로고    scopus 로고
    • Collaborative filtering via Gaussian probabilistic latent semantic analysis
    • Toronto, Canada
    • T. Hofmann. Collaborative filtering via gaussian probabilistic latent semantic analysis. In Proc. of SIGIR '03, pages 259-266, Toronto, Canada, 2003.
    • (2003) Proc. of SIGIR '03 , pp. 259-266
    • Hofmann, T.1
  • 8
    • 3042742744 scopus 로고    scopus 로고
    • Latent semantic models for collaborative filtering
    • T. Hofmann. Latent semantic models for collaborative filtering. ACM Transactions on Information Systems, 22(1):89-115, 2004.
    • (2004) ACM Transactions on Information Systems , vol.22 , Issue.1 , pp. 89-115
    • Hofmann, T.1
  • 9
    • 3042819722 scopus 로고    scopus 로고
    • Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering
    • Z. Huang, H. Chen, and D. Zeng. Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering. ACM Trans. Inf. Syst., 22(1):116-142, 2004.
    • (2004) ACM Trans. Inf. Syst. , vol.22 , Issue.1 , pp. 116-142
    • Huang, Z.1    Chen, H.2    Zeng, D.3
  • 10
    • 8644230345 scopus 로고    scopus 로고
    • An automatic weighting scheme for collaborative filtering
    • Sheffield, United Kingdom
    • R. Jin, J. Y. Chai, and L. Si. An automatic weighting scheme for collaborative filtering. In Proc. of SIGIR '04, pages 337-344, Sheffield, United Kingdom, 2004.
    • (2004) Proc. of SIGIR '04 , pp. 337-344
    • Jin, R.1    Chai, J.Y.2    Si, L.3
  • 11
    • 84868705038 scopus 로고    scopus 로고
    • Integrating recommendation models for improved web page prediction accuracy
    • Wollongong, Australia
    • F. Khalil, J. Li, and H. Wang. Integrating recommendation models for improved web page prediction accuracy. In Proc. of ACSC '08, pages 91-100, Wollongong, Australia, 2008.
    • (2008) Proc. of ACSC '08 , pp. 91-100
    • Khalil, F.1    Li, J.2    Wang, H.3
  • 12
    • 0013271231 scopus 로고    scopus 로고
    • Clustering for collaborative filtering applications
    • A. Kohrs and B. Merialdo. Clustering for collaborative filtering applications. In Proceedings of CIMCA, 1999.
    • (1999) Proceedings of CIMCA
    • Kohrs, A.1    Merialdo, B.2
  • 13
    • 70350647708 scopus 로고    scopus 로고
    • Collaborative filtering with temporal dynamics
    • Paris, France
    • Y. Koren. Collaborative filtering with temporal dynamics. In Proc. of KDD '09, pages 447-456, Paris, France, 2009.
    • (2009) Proc. of KDD '09 , pp. 447-456
    • Koren, Y.1
  • 15
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • D. D. Lee and H. S. Seung. Learning the parts of objects by non-negative matrix factorization. Nature, 401(6755):788-791, 1999.
    • (1999) Nature , vol.401 , Issue.6755 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 16
    • 84898964201 scopus 로고    scopus 로고
    • Algorithms for non-negative matrix factorization
    • D. D. Lee and H. S. Seung. Algorithms for non-negative matrix factorization. In Proc. of NIPS '00, pages 556-562, 2000.
    • (2000) Proc. of NIPS '00 , pp. 556-562
    • Lee, D.D.1    Seung, H.S.2
  • 17
    • 0037252945 scopus 로고    scopus 로고
    • Amazon.com recommendations: Item-to-item collaborative filtering
    • Jan/Feb
    • G. Linden, B. Smith, and J. York. Amazon.com recommendations: Item-to-item collaborative filtering. IEEE Internet Computing, pages 76-80, Jan/Feb 2003.
    • (2003) IEEE Internet Computing , pp. 76-80
    • Linden, G.1    Smith, B.2    York, J.3
  • 18
    • 57349097660 scopus 로고    scopus 로고
    • Eigenrank: A ranking-oriented approach to collaborative filtering
    • Singapore, Singapore
    • N. N. Liu and Q. Yang. Eigenrank: a ranking-oriented approach to collaborative filtering. In Proc. of SIGIR '08, pages 83-90, Singapore, Singapore, 2008.
    • (2008) Proc. of SIGIR '08 , pp. 83-90
    • Liu, N.N.1    Yang, Q.2
  • 20
    • 34250689178 scopus 로고    scopus 로고
    • Automatic identification of user interest for personalized search
    • DOI 10.1145/1135777.1135883, Proceedings of the 15th International Conference on World Wide Web
    • F. Qiu and J. Cho. Automatic identification of user interest for personalized search. In Proc. of WWW '06, pages 727-736, Edinburgh, Scotland, 2006. (Pubitemid 46946664)
    • (2006) Proceedings of the 15th International Conference on World Wide Web , pp. 727-736
    • Qiu, F.1    Cho, J.2
  • 21
    • 31844451557 scopus 로고    scopus 로고
    • Fast maximum margin matrix factorization for collaborative prediction
    • Bonn, Germany
    • J. D. M. Rennie and N. Srebro. Fast maximum margin matrix factorization for collaborative prediction. In Proc. of ICML '05, pages 713-719, Bonn, Germany, 2005.
    • (2005) Proc. of ICML '05 , pp. 713-719
    • Rennie, J.D.M.1    Srebro, N.2
  • 23
    • 56449131205 scopus 로고    scopus 로고
    • Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
    • R. Salakhutdinov and A. Mnih. Bayesian probabilistic matrix factorization using markov chain monte carlo. In Proc. of ICML '08, 2008.
    • (2008) Proc. of ICML '08
    • Salakhutdinov, R.1    Mnih, A.2
  • 24
    • 85052617391 scopus 로고    scopus 로고
    • Item-based collaborative filtering recommendation algorithms
    • Hong Kong, Hong Kong
    • B. Sarwar, G. Karypis, J. Konstan, and J. Reidl. Item-based collaborative filtering recommendation algorithms. In Proc. of WWW '01, pages 285-295, Hong Kong, Hong Kong, 2001.
    • (2001) Proc. of WWW '01 , pp. 285-295
    • Sarwar, B.1    Karypis, G.2    Konstan, J.3    Reidl, J.4
  • 25
    • 1942516799 scopus 로고    scopus 로고
    • Flexible mixture model for collaborative filtering
    • L. Si and R. Jin. Flexible mixture model for collaborative filtering. In Proc. of ICML '03, 2003.
    • (2003) Proc. of ICML '03
    • Si, L.1    Jin, R.2
  • 26
    • 1942516801 scopus 로고    scopus 로고
    • Weighted low-rank approximations
    • Washington, DC, USA
    • N. Srebro and T. Jaakkola. Weighted low-rank approximations. In Proc. of ICML '03, pages 720-727, Washington, DC, USA, 2003.
    • (2003) Proc. of ICML '03 , pp. 720-727
    • Srebro, N.1    Jaakkola, T.2
  • 27
    • 34250676942 scopus 로고    scopus 로고
    • Cubesvd: A novel approach to personalized web search
    • Chiba, Japan
    • J.-T. Sun, H.-J. Zeng, H. Liu, Y. Lu, and Z. Chen. Cubesvd: a novel approach to personalized web search. In Proc. of WWW '05, pages 382-390, Chiba, Japan, 2005.
    • (2005) Proc. of WWW '05 , pp. 382-390
    • Sun, J.-T.1    Zeng, H.-J.2    Liu, H.3    Lu, Y.4    Chen, Z.5
  • 28
    • 84885664744 scopus 로고    scopus 로고
    • Personalizing search via automated analysis of interests and activities
    • Salvador, Brazil
    • J. Teevan, S. T. Dumais, and E. Horvitz. Personalizing search via automated analysis of interests and activities. In Proc. of SIGIR '05, pages 449-456, Salvador, Brazil, 2005.
    • (2005) Proc. of SIGIR '05 , pp. 449-456
    • Teevan, J.1    Dumais, S.T.2    Horvitz, E.3
  • 29
    • 72449196732 scopus 로고    scopus 로고
    • Predicting user interests from contextual information
    • Boston, MA, USA
    • R. W. White, P. Bailey, and L. Chen. Predicting user interests from contextual information. In Proc. of SIGIR '09, pages 363-370, Boston, MA, USA, 2009.
    • (2009) Proc. of SIGIR '09 , pp. 363-370
    • White, R.W.1    Bailey, P.2    Chen, L.3
  • 30
    • 72449152230 scopus 로고    scopus 로고
    • Fast nonparametric matrix factorization for large-scale collaborative filtering
    • Boston, MA, USA
    • K. Yu, S. Zhu, J. Lafferty, and Y. Gong. Fast nonparametric matrix factorization for large-scale collaborative filtering. In Proc. of SIGIR '09, pages 211-218, Boston, MA, USA, 2009.
    • (2009) Proc. of SIGIR '09 , pp. 211-218
    • Yu, K.1    Zhu, S.2    Lafferty, J.3    Gong, Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.