Peter Edwards, David Bayer, Claire L. Green, and Terry R. Payne
To provide assisistance with tasks such as retrieving USENET news articles or identifying interesting Web pages, an intelligent agent requires information about a user’s interests and needs. Machine learning techniques are now being used to acquire this information. A general architecture is presented, and two approaches to learning through observation are described. An instautiation of the architecture is then evaluated.