正在加载图片...
[4 J. Arenas-Garcia, A. Meng, K. B. Petersen, T. SA,(200).ACM. Schioler, L. K. Hansen, and J. Larsen, 'Unveiling [16 Robert Wetzker, Carsten Zimmermann, and Christian music structure via PlSa similarity fusion, in IEEE Bauckhage, ' Analyzing social bookmarking systems: A International Workshop on Machine Learning fo del icio us cookbook, in Mining Social Data(MSoDa) gnal Processing, pp 419-424. IEEE Press,(aug Workshop Proceedings, pp. 26-30. ECAI 2008, (July 2008 5 David A Cohn and Thomas Hofmann, "The missing [17 Gui-Rong Xue, Wenyuan Dai, Qiang Yang, and Yong link- a probabilistic model of document content and Yu, Topic-bridged plsa for cross-domain text hypertext connectivity', in NIPS, eds, Todd K. Leen classification, in SIGIR 08: Proceedings of the 31st nas G. Dietterich, and Volker Tresp, pp. 430-436 annual international ACM SIGIR conference on Research and development in information retrieval, [6 Jonathan L Herlocker, Joseph A. Konstan, Loren pp 627-634, New York, NY, USA,(2008). ACM Terveen, and John T. Riedl, "Evaluating collaborative filtering recommender systems', ACM Trans. Inf Syst.,22(1),5-53,(2004) 7 Paul Heymann, Georgia Koutrika, and Hector Garcia-Molina, 'Can social bookmarking improve web earch?', in WSDM 08: Proc. of the int. conf. on Web search and web data mining, pp. 195-206, New York, NY, USA,(2008). ACM [8 Paul Heymann, Daniel Ramage, and Hector Garcia-Molina, Social tag prediction, in SIGIR '08 Proc. of the 31st ann. int. ACM SIGIR conf. on Research and development in information retrieval, pp. 531-538, New York, NY, USA,(2008). ACM. 9 Thomas Hofmann, ' Probabilistic latent semantic analysis, in Proc. of Uncertainty in Artificial Intelligence, UAI99, (1999) [10 Andreas Hotho, Robert Jaschke, Christoph Schmitz and Gerd Stumme, "Information retrieval in folksonomies: Search and ranking,, in ESwC, eds York Sure and John Domingue. volume 4011 of Lecture Notes in Computer Science, pp. 411-426 Springer,(2006) 11 Robert Jaschke, Leandro Marinho, Andreas Hotho Lars Schmidt -Thieme, and Gerd Stumme, Tag recommendations in folksonomies, in workshop Proceedings of Lernen. Wissensentdeckung Adaptivitat (LWA 2007), ed, Alexander Hinneburg pp.13-20,(sep2007) 12 Xin Jin, Yanzan Zhou, and Bamshad Mobasher, ' Web sage mining based on probabilistic latent semantic analysis', in KDD, eds, Won Kim, Ron Kohavi ohannes Gehrke, and william DuMouchel, pp 197-205.ACM,(2004) 13 Panagiotis Symeonidis, Alexandros Nanopoulos, and Yannis Manolopoulos, Tag recommendations based on tensor dimensionality reduction, in RecSys 08: Proc. of the 2008 ACM conf. on Recommender systems, pp 43-50, New York, NY, USA,(2008). ACM 14 Martin Szomszor, Ciro Cattuto, Harith Alani, Kieron O'Hara. Andrea Baldassarri. Vittorio Loreto. and vito D. P Servedio, ' Folksonomies, the semantic web, and movie recommendation, in Bridging the Gap between Semantic Web and Web 2.0(Sern Net 2007), pp 71-84,(2007) 15 Xuanhui Wang, Jian-Tao Sun, Zheng Chen, and Cheng Xiang Zhai, "Latent semantic analysis for multiple-type interrelated data objects, in SIGIR 06: roceedings of the 29th annual international ACM IGIR conference on Research and development in nformation retrieval, pp. 236-243, New York, NY,[4] J. Arenas-Garc´ıa, A. Meng, K. B. Petersen, T. L. Schiøler, L. K. Hansen, and J. Larsen, ‘Unveiling music structure via PLSA similarity fusion’, in IEEE International Workshop on Machine Learning for Signal Processing, pp. 419–424. IEEE Press, (aug 2007). [5] David A. Cohn and Thomas Hofmann, ‘The missing link - a probabilistic model of document content and hypertext connectivity’, in NIPS, eds., Todd K. Leen, Thomas G. Dietterich, and Volker Tresp, pp. 430–436. MIT Press, (2000). [6] Jonathan L. Herlocker, Joseph A. Konstan, Loren G. Terveen, and John T. Riedl, ‘Evaluating collaborative filtering recommender systems’, ACM Trans. Inf. Syst., 22(1), 5–53, (2004). [7] Paul Heymann, Georgia Koutrika, and Hector Garcia-Molina, ‘Can social bookmarking improve web search?’, in WSDM ’08: Proc. of the int. conf. on Web search and web data mining, pp. 195–206, New York, NY, USA, (2008). ACM. [8] Paul Heymann, Daniel Ramage, and Hector Garcia-Molina, ‘Social tag prediction’, in SIGIR ’08: Proc. of the 31st ann. int. ACM SIGIR conf. on Research and development in information retrieval, pp. 531–538, New York, NY, USA, (2008). ACM. [9] Thomas Hofmann, ‘Probabilistic latent semantic analysis’, in Proc. of Uncertainty in Artificial Intelligence, UAI’99, (1999). [10] Andreas Hotho, Robert J¨aschke, Christoph Schmitz, and Gerd Stumme, ‘Information retrieval in folksonomies: Search and ranking’, in ESWC, eds., York Sure and John Domingue, volume 4011 of Lecture Notes in Computer Science, pp. 411–426. Springer, (2006). [11] Robert J¨aschke, Leandro Marinho, Andreas Hotho, Lars Schmidt-Thieme, and Gerd Stumme, ‘Tag recommendations in folksonomies’, in Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivit¨at (LWA 2007), ed., Alexander Hinneburg, pp. 13–20, (sep 2007). [12] Xin Jin, Yanzan Zhou, and Bamshad Mobasher, ‘Web usage mining based on probabilistic latent semantic analysis.’, in KDD, eds., Won Kim, Ron Kohavi, Johannes Gehrke, and William DuMouchel, pp. 197–205. ACM, (2004). [13] Panagiotis Symeonidis, Alexandros Nanopoulos, and Yannis Manolopoulos, ‘Tag recommendations based on tensor dimensionality reduction’, in RecSys ’08: Proc. of the 2008 ACM conf. on Recommender systems, pp. 43–50, New York, NY, USA, (2008). ACM. [14] Martin Szomszor, Ciro Cattuto, Harith Alani, Kieron O’Hara, Andrea Baldassarri, Vittorio Loreto, and Vito D. P. Servedio, ‘Folksonomies, the semantic web, and movie recommendation’, in Bridging the Gap between Semantic Web and Web 2.0 (SemNet 2007), pp. 71–84, (2007). [15] Xuanhui Wang, Jian-Tao Sun, Zheng Chen, and ChengXiang Zhai, ‘Latent semantic analysis for multiple-type interrelated data objects’, in SIGIR ’06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 236–243, New York, NY, USA, (2006). ACM. [16] Robert Wetzker, Carsten Zimmermann, and Christian Bauckhage, ‘Analyzing social bookmarking systems: A del.icio.us cookbook’, in Mining Social Data (MSoDa) Workshop Proceedings, pp. 26–30. ECAI 2008, (July 2008). [17] Gui-Rong Xue, Wenyuan Dai, Qiang Yang, and Yong Yu, ‘Topic-bridged plsa for cross-domain text classification’, in SIGIR ’08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, pp. 627–634, 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