This paper discusses the issues involved in the application of machine learning techniques to the management of Internet-based information. We present a general architecture, and describe how this has been instantiated in several different applications. The first three of these systems provide assistance to a user sorting incoming mail, reading USENET news or identifying World-Wide Web pages of interest; the final system constructs a personalised on-line newspaper, assembled from documents gathered by a Web robot. A number of machine learning techniques have been used in the construction of these systems; some comparative results are presented.
|Title of host publication||Proceedings of the AAAI-96 Workshop on Internet-Based Information Systems|
|Editors||Alexander Franz, Hiroaki Kitano|
|Place of Publication||Menlo Park, CA|
|Publication status||Published - 1996|
- machine learning
- user agent
- information filtering
Green, C. L., & Edwards, P. (1996). Using Machine Learning to Enhance Software Tools for Internet Information Management. In A. Franz, & H. Kitano (Eds.), Proceedings of the AAAI-96 Workshop on Internet-Based Information Systems (Vol. WS-96-06, pp. 48-55). Menlo Park, CA: AAAI Press.