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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 promisingdoi:10.1142/9789812810885_0002 fatcat:mykdhh62s5f7dekjk7xalwymvq