Sanasam R S, Murthy H A, Gonsalves T A. Determining user\'s interest in real time[C]//Proceedings of the 17th International Conference on World Wide Web. New York, USA: ACM, 2008: 1115-1116.[DOI: 10.1145/1367497.1367683]
[2]
Chen W Y, Zhang D, Chang E Y. Combinational collaborative filtering for personalized community recommendation[C]//Proceedings of the 14th ACM SIGKDD internationa conference on Knowledge discovery and data mining. New York, USA: ACM, 2008: 115-123.[DOI: 10.1145/1401890.1401909]
[3]
Sun T, Wang L, Guo Q. A collaborative filtering recommendation algorithm based on item similarity of user preference[C]//Proceedings of Second International Workshop on Knowledge Discovery and Data Mining. Moscow: IEEE, 2009: 60-63.[DOI: 10.1109/WKDD.2009.90]
[4]
Xu G, Yang S H, Li H. Named entity mining from click-through data using weakly supervised latent dirichlet allocation[C]//Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, USA: ACM, 2009: 1365-1374.[DOI: 10.1145/1557019.1557165]
[5]
Li M, Zheng Y, Neo S Y, et al. Personalized event-based news video retrieval with dynamic user-log[C]//Proceedings of IEEE International Conference on Multimedia and Expo. Hannover: IEEE, 2008: 1157-1160.[DOI: 10.1109/ICME.2008.4607645]
[6]
Zhang Y, Zhang X, Xu C, et al. Personalized retrieval of sports video[C]//Proceedings of the International Workshop on Multimedia Information Retrieval. New York, USA: ACM, 2007: 313-322.[DOI: 10.1145/1290082.1290126]
[7]
Zhang L, Zhang Y. Interactive retrieval based on faceted feedback[C]//Proceedings of the 33rd International ACM SIGIR Conference on Research and Developmet in Information Retrieval. New York, USA: ACM, 2010: 363-370.[DOI: 10.1145/1835449.1835511]
[8]
Park J, Lee S J, Lee S J, et al. Online video recommendation through tag-cloud aggregation[J]. IEEE MultiMedia, 2011, 18(1): 78-86.[DOI:10.1109/MMUL.2010.6]
[9]
Li H, Murata T. Improving personalized recommendation in VSS based on user\'s preference[C]//Proceedings of the International MultiConference of Engineers and Computer Scientists. Hong Kong, China: Newswood Limited Press, 2012:580-584.
[10]
Chen B, Wang J, Huang Q, et al. Personalized video recommendation through tripartite graph propagation[C]//Proceedings of the 20th ACM International Conterence on Multimedia. New York, USA: ACM, 2012: 1133-1136.[DOI: 10.1145/2393347.2396401]
[11]
Zigoris P, Zhang Y. Bayesian adaptive user profiling with explicit & implicit feedback[C]//Proceedings of the 15th ACM International Conference on Information and Knowledge Management. New York, USA: ACM, 2006: 397-404.[DOI: 10.1145/1183614.1183672]
[12]
Chen W Y, Chu J C, Luan J, et al. Collaborative filtering for orkut communities: discovery of user latent behavior[C]//Proceedings of the 18th International Conference on World Wide Web. New York, USA: ACM, 2009: 681-690.[DOI: 10.1145/1526709.1526801]
[13]
Hopfgartner F, Vallet D, Halvey M, et al. Search trails using user feedback to improve video search[C]//Proceedings of the 16th ACM International Conference on Multimedia. New York, USA: ACM, 2008: 339-348.[DOI: 10.1145/1459359.1459405]
[14]
Xin C X, Gao F R, Zhan S N, et al.Adapt to changes in user interest collaborative filtering recommendation algorithm[J].Computer Research and Development, 2007, 44(2): 296-301.[邢春晓, 高凤荣, 战思南, 等. 适应用户兴趣变化的协同过滤推荐算法[J]. 计算机研究与发展, 2007, 44(2): 296-301.]
[15]
Sanderson M, Paramita M L, Clough P, et al. Do user preferences and evaluation measures line up[C]//Proceedings of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, USA: ACM, 2010: 555-562.[DOI: 10.1145/1835449.1835542]
