Fenix - personalized information filtering system for WWW pages

Nowadays the Internet offers a large amount of information to a wide range of users, making it difficult to deal with. The present work suggests the u se of intelligent agents for the personalized filtering of Web pages. A set of autonomous, non-mobile and adaptive agents was developed, aiming to sat isfy the user's need for information. The agents learn from the users' feed back and attempt to produce better results over time. This work presents th e system description and the promising results of tests performed in a simu lated environment. The proposed system has proven to be a useful tool in re ducing the amount of information with which the user has to deal.