This paper describes how the generation of hypertexts for accessing on-line news servers can be tailored to different users. News servers contain huge amounts of information, concerning different topics. The aim of our system is to present the most appropriate set of news (and advertisements) to each user, choosing the “right” level of detail for each news item. This is obtained by using knowledge representation, user modeling and exible hypermedia techniques.
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