Abstract
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.
Original language | English |
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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 |
Publisher | AAAI Press |
Pages | 48-55 |
Volume | WS-96-06 |
Publication status | Published - 1996 |
Keywords
- machine learning
- user agent
- information filtering