报告题目：
Resource Profiling with Social Filtering for Personalized Search in Collaborative Tagging Systems
报告人：
Prof. Qing Li
Department of Computer Science, City University of Hong Kong
报告地点：2209A
报告时间：12月22日（周四）上午9:30
欢迎各位老师和同学参加！
Abstract:
With the popularity of the collaborative tagging communities in Web 2.0, collaborative tagging (a.k.a folksonomy) becomes an important way to index and organize user interested resources. Collaborative tagging systems provide an environment for users to annotate resources, and most users give annotations according to their perspectives or feelings. However, users may have different perspectives or feelings on resources, e.g., some of them may share similar perspectives yet have a conflict with others. Thus, modeling the profile of a resource based on the tags given by all users who have annotated the resource is neither suitable nor reasonable. To address this problem, in this work, we devise a social filtering mechanism to resource profiling for personalized search. By utilizing the obtained resource profiles, we present a personalized search approach to optimal resource ranking based on user preferences. We conduct experiments on our FMRS data set by comparing the performance of the proposed approach and baseline methods, and the experimental results verify our observations.
Speaker’s Bio Data:
Qing Li is a Professor at the Department of Computer Science, City University of Hong Kong where he joined as a faculty member since Sept 1998. Meanwhile, he is a Guest Professor at the Zhejiang University and at the Zhongshan (Sun Yat-Sen) University, an Adjunct Professor at the University of Science and Technology of China, the Huazhong University of Science and Technology, and the State Key Lab of Software Engineering, Wuhan University. He received his B.Eng. from the Hunan University, and M.Sc. and Ph.D. degrees from the University of Southern California (Los Angeles), all in computer science. His research interests include database modeling, Web services, multimedia retrieval and management, and e-learning systems. He has authored over 70 papers in numerous technical journals (incl. ACM and IEEE Transactions), and over 220 papers in major international conferences (incl. VLDB, WWW, ICDE, ACM MM, ICDCS). He is actively involved in the research community by serving as an editor of technical journals, including IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Internet Technology, and World Wide Web, and as Conference and Program Chair/Co-Chair of numerous major international conferences. He is currently the Chairman of the Hong Kong Web Society, the Deputy Chairman of the WISE Society, a Councilor of the Database Society of Chinese Computer Federation (CCF), and a Steering Committee Member of DASFAA, ICWL, and WAIM. Prof. Li is a Fellow of IET (UK), and a senior member of IEEE (US) and CCF (China).
