To provide assistance 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 instantiation of the architecture is then evaluated.
|Title of host publication||Proceedings of AAAI 1996 Stanford Spring Symposium on Machine Learning in Information Access|
|Editors||Marti A Hearst, Haym Hirsh|
|Place of Publication||Menlo Park, CA|
|Publication status||Published - 1996|
- user agents
- user profiling
- machine learning
Edwards, P., Bayer, D., Green, C. L., & Payne, T. R. (1996). Experience with Learning Agents which Manage Internet-Based Information. In M. A. Hearst, & H. Hirsh (Eds.), Proceedings of AAAI 1996 Stanford Spring Symposium on Machine Learning in Information Access (Vol. SS-96-05, pp. 31-40). Menlo Park, CA: AAAI Press.