AUTONOMOUS AGENTS FOR WEB PAGES FILTERING

FLÁVIA COIMBRA DELICATO, LUCI PIRMEZ, LUIZ FERNANDO RUST DA COSTA CARMO
2001 Computing and Information Technologies  
With the current growth of the information available in Internet, users are facing an information overload. This work proposes a multiagent system for Web pages personalized filtering. The system is composed of a set of autonomous and adaptive agents that automatically provide relevant documents to the user according to a preferences profile. The agents learn with the user feedback and attempt to produce better results over time. This work presents the system description and the promising
more » ... s of tests performed in a simulated environment. The proposed system proved to be a useful tool to recommend successfully relevant information to a well-defined preferences user.
doi:10.1142/9789812810885_0002 fatcat:mykdhh62s5f7dekjk7xalwymvq