Searching information in large and complex distributed information systems: balance between implicit and explicit acquisition of the user model

F. Ferri, P. Grifoni
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Abstract

The knowledge about users acquired and formalised through a model may be used in more than one way in an interactive intelligent system. At the higher level, these models may be used for recognition and interpretation of information about the user's behaviour, to provide him with help facilities and a set of useful information. Literature mainly proposes two different strategies devoted to the acquisition of the user models; that is the implicit acquisition and the explicit acquisition. Both the previously introduced approaches are able to satisfy acquisition needs. In particular, this paper proposes an integrated perspective of the two previously introduced approaches and discusses the balance between implicit and explicit acquisition taking into account the user behaviour. The previously introduced problems are treated considering a large and complex distributed information system (i.e. intranet system) in a specific domain: medical folders and medical knowledge bases.
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大型复杂分布式信息系统中的信息搜索:用户模型的隐式和显式获取之间的平衡
通过模型获得并形式化的关于用户的知识可以在交互式智能系统中以不止一种方式使用。在较高的层次上,这些模型可用于识别和解释有关用户行为的信息,为用户提供帮助设施和一套有用的信息。文献主要提出了两种不同的策略来获取用户模型;这就是内隐习得和外显习得。前面介绍的两种方法都能够满足获取需求。特别是,本文提出了一种综合的观点,前面介绍的两种方法,并讨论了考虑到用户行为的内隐和外显习得之间的平衡。前面介绍的问题是考虑一个特定领域的大型和复杂的分布式信息系统(即内部网系统):医学文件夹和医学知识库。
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