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Interface Agents that Learn: An Investigation of Learning Issues in a Mail Agent Interface

Record type: Monograph (Project Report)

In recent years, interface agents have been developed to assist users with various tasks. Some systems employ machine learning techniques to allow the agent to adapt to the user's changing requirements. With the increase in the volume of data on the Internet, agents have emerged which are able to monitor and learn from their users to identify topics of interest. One such agent, described here, has been developed to filter mail messages. We examine the issues involved in constructing an autonomous interface agent which employs a learning component, and explore the use of two different learning techniques in this context.

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Citation

Payne, Terry and Edwards, Peter (1995) Interface Agents that Learn: An Investigation of Learning Issues in a Mail Agent Interface s.n.

More information

Published date: 1995
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 264791
URI: http://eprints.soton.ac.uk/id/eprint/264791
PURE UUID: 98ce2dd4-d2a4-4c8d-aac9-71d430cbbc5f

Catalogue record

Date deposited: 07 Nov 2007
Last modified: 18 Jul 2017 07:32

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Contributors

Author: Terry Payne
Author: Peter Edwards

University divisions


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