用于构建上下文感知的个性化信息服务的面向服务的中间件体系结构

Pan Xuwei, Zhou Li
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引用次数: 0

摘要

目前的信息服务系统是为所有用户建立的,独立于任何个人用户在不同情况下的特殊需要。个性化信息服务的目的是通过考虑个人用户的特殊兴趣来改进检索过程。然而,并不是所有的用户首选项都与所有情况相关,应该在用户目标和手头任务的上下文中理解它们。本文提出了一种上下文感知的个性化信息服务(CAPIS)方法,该方法可以根据用户在不同情况下对相关信息的需求来调整信息检索结果。在分析CAPIS过程的基础上,提出了面向服务的CAPIS中间件体系结构。讨论了在这种体系结构中如何实现基于用户上下文的个性化语义匹配和个性化信息服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Service-oriented Middleware Architecture for Building Context-aware Personalized Information Service
Current information service systems are built to serve all users, independent of the special needs of any individual user in different situations. Personalized information service aims at improving the retrieval process by taking into account the particular interests of individual users. However, not all user preferences are relevant in all situations, and they should be understood in context with the user goals and tasks at hand. In this paper, we propose a context-aware personalized information service (CAPIS) approach to adapting information retrieval results according to each user’s information needs in different situations for relevant information with little user effort. After the process of CAPIS is analyzed, the service-oriented middleware architecture of CAPIS system is proposed. How to realize personalized semantic matching and personalized information service based on the user context in such an architecture are discussed.
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