Personalized interest modeling on portal based on latent interest semantic description

[1] 张卫丰,徐宝文.基于WWW缓冲的用户实时二维兴趣模型[J].计算机学报, 2004,27(4):461-470 Zhang Weifeng, Xu Baowen. WWW cache based model of users’ real time two-dimensions interest[J]. Chinese Journal of Computers, 2004, 27(4): 461-470 (in Chinese) [2] Webb G, Pazzani M, Billsus D. Machine learning for user modeling[J]. User Modeling and User-Adapted Interaction, 2001, 11:19-29 [3] Hofmann T. Collaborative filtering via Gaussian probabilistic latent semantic analysis Proceedings of the ACM Conference on Research and Development in Information Retrieval. Canada:ACM Press, 2003:259-266 [4] Blei D, Ng A, Jordon M. Latent Dirichlet allocation[J]. Journal of Machine Learning Research,2003, 3:993-1022 [5] Marlin B. Modeling user rating profiles for collaborative filtering Proceedings of the 17th Annual Conference on Neural Information Processing Systems. Canada:MIT Press,2003:345-354 [6] McLachlan G J, Peel D. Finite mixture models[M]. New York:Wiley, 2000 [7] Wu Jing, Xiong Zhang. A portal-oriented personalized recomme- ndation using meta-recommender engine Proceedings of 2006 International Conference on Artificial Intelligence.Beijing:BUPT Press, 2006:570-576 [8] Wu Jing, Zhang Pin, Sheng Hao, et al. Mining personalization interest and navigation patterns on portal Proceedings of the 11^th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Lecture Notes in Artificial Intelligence. Berlin:Springer-Verlag Heidelberg,2007,4426:948-955 [9] Harper F, Li X, Chen Y, et al. An economic model of user rating in an online recommender system Proceedings of the 10^th International Conference on User Modeling, Lecture Notes in Computer Science.Berlin:Springer-Verlag Heidelberg, 2005,3538:307-316