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 use of intelligent agents for the personalized filtering of Web pages. A set of autonomous, non‐mobile and adaptive agents was developed, aiming to satisfy the user’s need for information. The agents learn from the users’ feedback and attempt to produce better results over time. This work presents the system description and the promising results of tests performed in a simulated environment. The proposed system has proven to be a useful tool in reducing the amount of information with which the user has to deal.