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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