Ubiquitous personalized information processing with wildcards

Xindong Wu
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Abstract

With the rapid development of computer, communication and networking technologies, Web information resources are becoming increasingly rich, and on-line applications are required to be more and more flexible. Therefore, a new generation of information models and mechanisms for these information processing requirements has become a major challenge. This talk will discuss four scientific problems in ubiquitous personalized information processing with wildcards*, including demand driven aggregation of information resources, mining and analysis for aggregated information, user interest modeling, and system security. With these four components, a pervasive and personalized information processing mechanism can be constructed for dynamically organizing and optimizing multiple information resources, implementing a transparent and scalable information processing architecture, and flexibly building information and analysis services to meet various user demands.
使用通配符处理无处不在的个性化信息
随着计算机、通信和网络技术的飞速发展,Web信息资源日益丰富,对在线应用的要求也越来越灵活。因此,新一代的信息模型和机制已成为这些信息处理需求的主要挑战。本讲座将讨论在泛在的个性化信息处理中使用通配符*的四个科学问题,包括需求驱动的信息资源聚合、聚合信息的挖掘和分析、用户兴趣建模和系统安全。通过这四个组件,可以构建普适、个性化的信息处理机制,动态组织和优化多种信息资源,实现透明、可扩展的信息处理体系结构,灵活构建信息和分析服务,满足不同用户需求。
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