Context-sensitive filtering for browsing in hypertext

Abstract
Modeling of the user's interests is one of the most important issues to support a user to gather information. Although there are several promising methods to infer the interests from the user's browsing behavior, they assume that the interests are consistent during the information gathering. However, in browsing which is one of the most popular ways to gather information, the user's interests are often strongly dependent on the local context of the browsing. This paper describes a method to model the user's shifting interests from the browsing history. An information filtering method using the model of the interests has been implemented. We call it "context-sensitive filtering. " The results of an experimental evaluation, by real users'browsing for an encyclopedia in CD-ROM format, are also reported.

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