推荐系统、信息挖掘及基于互联网的信息物理研究

Recommendation Systems,Information Filtering and Internet-Based Information-Physics

介绍由中国科学技术大学统计物理复杂系统研究组、上海理工大学复杂系统科学研究中心、电子科技大学互联网研究中心和瑞士弗里堡大学物理系所组成的研究团队在国家自然科学基金项目:基于复杂网络的复杂系统动力学及统计行为的研究;动态评价网络的统计分析与信息挖掘;人类行为的动力学和统计力学研究及重大研究计划支持下所完成的关于推荐系统、信息挖掘及基于互联网的信息物理研究方面的工作和研究进展。

This paper present some published works and recent progresses in recommendation systems, information filtering and internet-based information physics developed by the following four affiliations, including Complex Systems Group of Department of Modem Physics, University of Science and Technology of China, Research Center of Complex Systems Science, University of Shanghai for Science and Technology, Web Science Center, University of Electronic Science and Technology of China and Department of Physics, University of Fribourg. These works are supported by the following NSFC foundations： the complex system dynamics and statistical behaviors studies based on complex networks; statistical analysis of the dynamic evolution networks and information filtering;human behavior, dynamics and statistics mechanics; and the key project of important research plan for non-conventional incident emergency management.