Experience with Learning Agents which Manage Internet-Based Information

To provide a~istance with t~ml~ such M 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.

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