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Exploring Social Annotations with the Application to Web Page Recommendation

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分类：TP393.092[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术] F127[经济管理—世界经济]
作者机构：[1]Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences Beijing 100190, China, [2]Department of Management Information Systems, University of Arizona, Tucson AZ 85721, U.S.A.
相关基金：This work is supported in part by the National Natural Science Foundation of China under Grant Nos. 60621001, 60875028, 60875049, and 70890084, the Chinese Ministry of Science and Technology under Grant No. 2006AA010106, and the Chinese Academy of Sciences under Grant Nos. 2F05N01, 2F08N03 and 2F07C01.
相关项目：基于心理学归因理论的社会推理计算模型研究

关键词： WEB网页, 社会, 应用, 注解, Web知识发现, WEB资源, 发现算法, 协同过滤, graphic model, EM （expectation-maximization）, social annotation, tag, recommendation

中文摘要：

Hui-Qian Li is a research scientist in the Key Lab of Complex Systems and Intelligent Science at Institute of Automation, Chinese Academy of Sciences. Her research interests include complex networks, recommendation systems, statistical machine learning.E-mail：huiqian．li，fen@ia．ac．cn Fen Xia is an assistant professor in the Key Lab of Complex Systems and Intelligent Science at Institute of Automation, Chinese Academy of Sciences. His research interests include statistical machine learning, ranking, regularization methods, efficient algorithms, and information retrieval. E-mail：fen．xia@ia．ac．cn Daniel Zeng received his Ph.D. degree in industrial administration from Carnegie Mellon University in 1998. He is a research professor at the Institute of Automation, Chinese Academy of Sciences. He is also affiliated with the University of Arizona as an associate professor and the director of the Intelligent Systems and Decisions Laboratory. Prof. Zeng is a senior member of IEEE, His research interests include software agents and multi-agent systems, intelligence and security informatics, social computing and recommender systems.E-mail：dajun．zeng@ia．ac．cn Fei-Yue Wang received his Ph.D. degree in computer and systems engineering from Rensselaer Polytechnic Institute in 1990. He is the director of the Key Laboratory of Complex Systems and Intelligence Science at the Chinese Academy of Sciences. He is also a professor in the University of Arizona＇s Systems ＆ Industrial Engineering Department and the director of the university＇s Program in Advanced Research of Complex Systems. Prof. Wang is a fellow of IEEE, INCOSE, IFAC, ASME, and AAAS. His current research interests include social computing, Web and services science, modeling, analysis and control of complex systems, especially social and cyber-physical systems. E-mail：feiyue．wang@ia．ac．cn Wen-Ji Mao received her Ph.D. degree in computer science from the University of Southern California in 2006. She is an associate professor at th

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