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From information retrieval to hypertext linking
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We present HyperContext, a framework for adaptive and adaptable hypertext. Our fundamental premise is that when people encounter the same document, each may interpret the information it contains differently. Usually, the interpretations are not available to future users of the same information. HyperContext permits users to make these interpretations explicit, and provides support to structure hyperspace around interpretations of documents, rather than around the documents themselves. When a user browses through hyperspace, a document's context is used to determine which interpretation to present to the user. We also derive a user model of the user's short-term interests, by first representing the user's interest in the current document as a salient interpretation before combining it with the salient interpretations of other documents accessed by the user on the same path of traversal. This paper describes the adaptive features of the HyperContext framework, and presents the results of an initial evaluation of one of the features.