Interface Agents that Learn: An Investigation of Learning Issues in a Mail Agent Interface
Interface Agents that Learn: An Investigation of Learning Issues in a Mail Agent Interface
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.
Payne, Terry
0bb13d45-2735-45a3-b72c-472fddbd0bb4
Edwards, Peter
5ee73a94-75a0-426f-ab1b-ce918b06a1ea
1995
Payne, Terry
0bb13d45-2735-45a3-b72c-472fddbd0bb4
Edwards, Peter
5ee73a94-75a0-426f-ab1b-ce918b06a1ea
Payne, Terry and Edwards, Peter
(1995)
Interface Agents that Learn: An Investigation of Learning Issues in a Mail Agent Interface
Record type:
Monograph
(Project Report)
Abstract
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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Published date: 1995
Organisations:
Electronics & Computer Science
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Local EPrints ID: 264791
URI: http://eprints.soton.ac.uk/id/eprint/264791
PURE UUID: 98ce2dd4-d2a4-4c8d-aac9-71d430cbbc5f
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Date deposited: 07 Nov 2007
Last modified: 22 Feb 2024 18:02
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Contributors
Author:
Terry Payne
Author:
Peter Edwards
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