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Learning Mechanisms for Information Filtering Agents

Learning Mechanisms for Information Filtering Agents
Learning Mechanisms for Information Filtering Agents
In recent years, software agents have been developed which assist users with tasks such as information filtering or information retrieval. Such systems have evolved from simple agents that refer to a user-defined script to filter incoming mail, to complex Web agents that not only learn their user's preferences but actively seek out Web pages that could be of interest. To provide personal assistance, an agent needs information about the user's interests and needs. This paper reviews how different mechanisms have been used to define a user profile, from simple rules to complex machine learning algorithms. Problems with user-defined scripts are discussed, as are the issues involved with integrating learning mechanisms into agents. One approach currently being developed to learn within an agent environment is then described
1-899621-06-7
163-183
Payne, T.R.
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Edwards, P.
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Nealon, J.L.
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Taylor, N.S.
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Payne, T.R.
e0956864-a64d-4333-b63b-e0dc4e8008b3
Edwards, P.
540d3999-d963-4aaf-9cbd-540b1f270b39
Nealon, J.L.
ddfcde26-90ab-477f-ac29-7299a642549e
Taylor, N.S.
93ce8cca-6fa1-4301-9990-cb28dcfe925d

Payne, T.R. and Edwards, P. (1995) Learning Mechanisms for Information Filtering Agents. Nealon, J.L. and Taylor, N.S. (eds.) UK Intelligent Agents Workshop, Oxford Brookes University. pp. 163-183 .

Record type: Conference or Workshop Item (Other)

Abstract

In recent years, software agents have been developed which assist users with tasks such as information filtering or information retrieval. Such systems have evolved from simple agents that refer to a user-defined script to filter incoming mail, to complex Web agents that not only learn their user's preferences but actively seek out Web pages that could be of interest. To provide personal assistance, an agent needs information about the user's interests and needs. This paper reviews how different mechanisms have been used to define a user profile, from simple rules to complex machine learning algorithms. Problems with user-defined scripts are discussed, as are the issues involved with integrating learning mechanisms into agents. One approach currently being developed to learn within an agent environment is then described

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More information

Published date: 1995
Additional Information: Event Dates: November
Venue - Dates: UK Intelligent Agents Workshop, Oxford Brookes University, 1995-11-01
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 257783
URI: http://eprints.soton.ac.uk/id/eprint/257783
ISBN: 1-899621-06-7
PURE UUID: 0f750ecd-58c8-40fc-916c-ba82e864afae

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Date deposited: 23 Jun 2003
Last modified: 29 Jan 2020 15:29

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Contributors

Author: T.R. Payne
Author: P. Edwards
Editor: J.L. Nealon
Editor: N.S. Taylor

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