正在加载图片...
Transactions on Knowledge and Data Engineering, collaborative filtering of netnews.In Proceedings of the 17(6):734-749,June2005. 8th ACM Conference on Computer Supported [2]M.Balabanovic and Y.Shoham.Fab:content-based, Cooperative Work,pages 175-186,New York,NY collaborative recommendation.Communications of the USA.1994.ACM. ACM.40(3):66-72,1997. [17]R.Salakhutdinov and A.Mnih.Probabilistic matrix [3 J.Bennett and S.Lanning.The Netflix prize.In factorization.In J.Platt,D.Koller,Y.Singer,and Proceedings of KDD Cup and Workshop,volume 2007, S.Roweis,editors,Advances in Neural Information 2007. Processing Systems 20,pages 1257-1264.MIT Press, [4]J.Breese,D.Heckerman,and C.Kadie.Empirical Cambridge,MA,2008. analysis of predictive algorithms for collaborative [18 G.Salton and C.Buckley.Term-weighting approaches filtering.In Proceedings of the 14th Conference on in automatic text retrieval.Infomation Processing Uncertainty in Artificial Intelligence,pages 43-52, Management:an International Journal 1998. 24(5):513-523,1988. 5 F.Chung.Spectral Graph Theory.Number 92 in 19 B.Sarwar,G.Karypis,J.Konstan,and J.Reidl. Regional Conference Series in Mathematics.American Item-based collaborative filtering recommendation Mathematical Society,1997. algorithms.In Proceedings of the 10th International [6 M.de Gemmis,P.Lops,G.Semeraro,and P.Basile Conference on World Wide Web,pages 285-295,New Integrating tags in a semantic content-based York,NY,USA,2001.ACM. recommender.In Proceedings of the 2nd ACM [20A.I.Schein,A.Popescul,L.H.Ungar,and D.M. Conference on Recommender Systems,pages 163-170 Pennock.Methods and metrics for cold-start New York.NY,USA,2008.ACM. recommendations.In Proceedings of the 25th Annual [7]N.Garg and I.Weber.Personalized,interactive tag International ACM SIGIR Conference on Research recommendation for flickr.In Proceedings of the 2nd and Development in Information Retrieval,pages ACM Conference on Recommender Systems,pages 253-260.New York.NY.USA.2002.ACM 67-74,New York,NY,USA,2008.ACM. [21]S.Sen,S.K.Lam,A.M.Rashid,D.Cosley, 8 H.Guo.Soap:live recommendations through social D.Frankowski,J.Osterhouse,F.M.Harper,and agents.In Proceedings of the 5th DELOS Workshop on J.Riedl.Tagging,communities,vocabulary,evolution. Filtering and Collaborative Filtering,1997. In Proceedings of the 20th ACM Conference on [9 J.L.Herlocker,J.A.Konstan,A.Borchers,and Computer Supported Cooperative Work,pages J.Riedl.An algorithmic framework for performing 181-190,New York,NY,USA.2006.ACM. collaborative filtering.In Proceedings of the 22nd [22 S.Sen,J.Vig,and J.Riedl.Tagommenders: Annual International ACM SIGIR Conference on connecting users to items through tags.In Proceedings Research and Development in Information Retrieval of the 18th International Conference on World Wide pages 230-237,New York,NY,USA,1999.ACM. Web,pages 671-680,New York,NY,USA,2009. 10 Y.Koren.Factorization meets the neighborhood:a ACM. multifaceted collaborative filtering model.In 23A.Shepitsen,J.Gemmell,B.Mobasher,and R.Burke. Proceeding of the 14th ACM SIGKDD International Personalized recommendation in social tagging Conference on Knowledge Discovery and Data Mining, systems using hierarchical clustering.In Proceedings of pages 426-434,New York,NY.USA,2008.ACM. the 2nd ACM Conference on Recommender Systems, 11]X.N.Lam,T.Vu,T.D.Le,and A.D.Duong. pages 259-266,New York,NY,USA,2008.ACM. Addressing cold-start problem in recommendation [24 P.Symeonidis,A.Nanopoulos,and Y.Manolopoulos. systems.In Proceedings of the 2nd International Tag recommendations based on tensor dimensionality Conference on Ubiquitous Information Management reduction.In Proceedings of the 2nd ACM Conference and Communication,pages 208-211,New York,NY on Recommender Systems,pages 43-50,New York, USA.2008.ACM. NY.USA.2008.ACM. 12 K.Lang.Newsweeder:learning to filter netnews.In 25 K.H.L.Tso-Sutter,L.B.Marinho,and Proceedings of the 12th International Conference on L.Schmidt-Thieme.Tag-aware recommender systems Machine Learning,pages 331-339.Morgan Kaufmann, by fusion of collaborative filtering algorithms.In 1995. Proceedings of the 2nd ACM Symposium on Applied 13 W.-J.Li and D.-Y.Yeung.Relation regularized matrix Computing,pages 1995-1999,New York.NY.USA. factorization.In Proceedings of the 21st International 2008.ACM. Joint Conference on Artificial Intelligence,2009. [26 Y.Yang and X.Liu.A re-examination of text [14]G.Linden,B.Smith,and J.York.Amazon.com categorization methods.In Proceedings of the 22nd recommendations:item-to-item collaborative filtering Annual International ACM SIGIR Conference on IEEE Internet Computing,7(1):76-80,Jan/Feb 2003. Research and Development in Information Retrieval 15 R.J.Mooney and L.Roy.Content-based book pages 42-49,New York,NY,USA,1999.ACM. recommending using learning for text categorization 27 V.Zanardi and L.Capra.Social ranking:uncovering In Proceedings of the 5th ACM Conference on Digital relevant content using tag-based recommender Libraries,pages 195-204,New York,NY,USA,2000. systems.In Proceedings of the 2nd ACM Conference ACM. on Recommender Systems,pages 51-58,New York, 16 P.Resnick,N.Iacovou,M.Suchak,P.Bergstrom,and NY.USA,2008.ACM. J.Riedl.Grouplens:an open architecture forTransactions on Knowledge and Data Engineering, 17(6):734–749, June 2005. [2] M. Balabanovi´c and Y. Shoham. Fab: content-based, collaborative recommendation. Communications of the ACM, 40(3):66–72, 1997. [3] J. Bennett and S. Lanning. The Netflix prize. In Proceedings of KDD Cup and Workshop, volume 2007, 2007. [4] J. Breese, D. Heckerman, and C. Kadie. Empirical analysis of predictive algorithms for collaborative filtering. In Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence, pages 43–52, 1998. [5] F. Chung. Spectral Graph Theory. Number 92 in Regional Conference Series in Mathematics. American Mathematical Society, 1997. [6] M. de Gemmis, P. Lops, G. Semeraro, and P. Basile. Integrating tags in a semantic content-based recommender. In Proceedings of the 2nd ACM Conference on Recommender Systems, pages 163–170, New York, NY, USA, 2008. ACM. [7] N. Garg and I. Weber. Personalized, interactive tag recommendation for flickr. In Proceedings of the 2nd ACM Conference on Recommender Systems, pages 67–74, New York, NY, USA, 2008. ACM. [8] H. Guo. Soap: live recommendations through social agents. In Proceedings of the 5th DELOS Workshop on Filtering and Collaborative Filtering, 1997. [9] J. L. Herlocker, J. A. Konstan, A. Borchers, and J. Riedl. An algorithmic framework for performing collaborative filtering. In Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 230–237, New York, NY, USA, 1999. ACM. [10] Y. Koren. Factorization meets the neighborhood: a multifaceted collaborative filtering model. In Proceeding of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 426–434, New York, NY, USA, 2008. ACM. [11] X. N. Lam, T. Vu, T. D. Le, and A. D. Duong. Addressing cold-start problem in recommendation systems. In Proceedings of the 2nd International Conference on Ubiquitous Information Management and Communication, pages 208–211, New York, NY, USA, 2008. ACM. [12] K. Lang. Newsweeder: learning to filter netnews. In Proceedings of the 12th International Conference on Machine Learning, pages 331–339. Morgan Kaufmann, 1995. [13] W.-J. Li and D.-Y. Yeung. Relation regularized matrix factorization. In Proceedings of the 21st International Joint Conference on Artificial Intelligence, 2009. [14] G. Linden, B. Smith, and J. York. Amazon.com recommendations: item-to-item collaborative filtering. IEEE Internet Computing, 7(1):76–80, Jan/Feb 2003. [15] R. J. Mooney and L. Roy. Content-based book recommending using learning for text categorization. In Proceedings of the 5th ACM Conference on Digital Libraries, pages 195–204, New York, NY, USA, 2000. ACM. [16] P. Resnick, N. Iacovou, M. Suchak, P. Bergstrom, and J. Riedl. Grouplens: an open architecture for collaborative filtering of netnews. In Proceedings of the 8th ACM Conference on Computer Supported Cooperative Work, pages 175–186, New York, NY, USA, 1994. ACM. [17] R. Salakhutdinov and A. Mnih. Probabilistic matrix factorization. In J. Platt, D. Koller, Y. Singer, and S. Roweis, editors, Advances in Neural Information Processing Systems 20, pages 1257–1264. MIT Press, Cambridge, MA, 2008. [18] G. Salton and C. Buckley. Term-weighting approaches in automatic text retrieval. Infomation Processing Management: an International Journal, 24(5):513–523, 1988. [19] B. Sarwar, G. Karypis, J. Konstan, and J. Reidl. Item-based collaborative filtering recommendation algorithms. In Proceedings of the 10th International Conference on World Wide Web, pages 285–295, New York, NY, USA, 2001. ACM. [20] A. I. Schein, A. Popescul, L. H. Ungar, and D. M. Pennock. Methods and metrics for cold-start recommendations. In Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 253–260, New York, NY, USA, 2002. ACM. [21] S. Sen, S. K. Lam, A. M. Rashid, D. Cosley, D. Frankowski, J. Osterhouse, F. M. Harper, and J. Riedl. Tagging, communities, vocabulary, evolution. In Proceedings of the 20th ACM Conference on Computer Supported Cooperative Work, pages 181–190, New York, NY, USA, 2006. ACM. [22] S. Sen, J. Vig, and J. Riedl. Tagommenders: connecting users to items through tags. In Proceedings of the 18th International Conference on World Wide Web, pages 671–680, New York, NY, USA, 2009. ACM. [23] A. Shepitsen, J. Gemmell, B. Mobasher, and R. Burke. Personalized recommendation in social tagging systems using hierarchical clustering. In Proceedings of the 2nd ACM Conference on Recommender Systems, pages 259–266, New York, NY, USA, 2008. ACM. [24] P. Symeonidis, A. Nanopoulos, and Y. Manolopoulos. Tag recommendations based on tensor dimensionality reduction. In Proceedings of the 2nd ACM Conference on Recommender Systems, pages 43–50, New York, NY, USA, 2008. ACM. [25] K. H. L. Tso-Sutter, L. B. Marinho, and L. Schmidt-Thieme. Tag-aware recommender systems by fusion of collaborative filtering algorithms. In Proceedings of the 2nd ACM Symposium on Applied Computing, pages 1995–1999, New York, NY, USA, 2008. ACM. [26] Y. Yang and X. Liu. A re-examination of text categorization methods. In Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 42–49, New York, NY, USA, 1999. ACM. [27] V. Zanardi and L. Capra. Social ranking: uncovering relevant content using tag-based recommender systems. In Proceedings of the 2nd ACM Conference on Recommender Systems, pages 51–58, New York, NY, USA, 2008. ACM
<<向上翻页
©2008-现在 cucdc.com 高等教育资讯网 版权所有