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Adaptive hypertext and hypermedia

Adaptive hypertext and hypermedia

by Peter Brusilovsky, Alfred Kobsa

Hypertext systemsInteractive multimediaInformation storage and retrieval systemsText processing (Computer scienceComputer science
0.0
Open Library
Open Library

About this book

Hypertext/hypermedia systems and user-model-based adaptive systems in the areas of learning and information retrieval have for a long time been considered as two mutually exclusive approaches to information access. Adaptive systems tailor information to the user and may guide the user in the information space to present the most relevant material, taking into account a model of the user's goals, interests and preferences. Hypermedia systems, on the other hand, are `user neutral': they provide the user with the tools and the freedom to explore an information space by browsing through a complex network of information nodes. Adaptive hypertext and hypermedia systems attempt to bridge the gap between these two approaches. Adaptation of hypermedia systems to each individual user is increasingly needed. With the growing size, complexity and heterogeneity of current hypermedia systems, such as the World Wide Web, it becomes virtually impossible to impose guidelines on authors concerning the overall organization of hypermedia information. The networks therefore become so complex and unstructured that the existing navigational tools are no longer powerful enough to provide orientation on where to search for the needed information. It is also not possible to identify appropriate pre-defined paths or subnets for users with certain goals and knowledge backgrounds since the user community of hypermedia systems is usually quite inhomogeneous. This is particularly true for Web-based applications which are expected to be used by a much greater variety of users than any earlier standalone a…

Themes & subjects

Hypertext systemsInteractive multimediaInformation storage and retrieval systemsText processing (Computer scienceComputer scienceMultimedia systems

Authors

Peter Brusilovsky, Alfred Kobsa

Pages

252

Read time

≈ 6h

Editions

3

Language

English

Publisher

Springer

ISBN

9789401706186

Where to buy

TR
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