This paper presents a framework for the generation of adaptive hypertexts for accessing on-line news servers. News servers contain huge amount of information, concerning different subjects. The aim of our system is to present the most appropriate set of news (and advertisements) to each user, choosing the "right" detail level for each news item. This is obtained by using knowledge representation, user modeling and flexible hypermedia techniques.

Exploiting user models for personalizing news presentations

TORRE, ILARIA
1999

Abstract

This paper presents a framework for the generation of adaptive hypertexts for accessing on-line news servers. News servers contain huge amount of information, concerning different subjects. The aim of our system is to present the most appropriate set of news (and advertisements) to each user, choosing the "right" detail level for each news item. This is obtained by using knowledge representation, user modeling and flexible hypermedia techniques.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/204283
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