Personalisation for User Agents
Date
2005
Authors
Cole, Joshua
Gray, Matthew
Lloyd, John
Ng, Kee Siong
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Volume Title
Publisher
Association for Computing Machinery Inc (ACM)
Abstract
This paper is concerned with personalisation of user agents by symbolic, on-line machine learning techniques. The application of these ideas to an infotainment agent is discussed in detail. Also experimental results, which indicate that a high level of personalisation can be achieved by this approach, are presented.
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Keywords
Keywords: Personalisation; Symbolic learning; User agents; Computer applications; Learning systems; Online systems; Multi agent systems Personalisation; Symbolic learning; User agents
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Source
Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005)
Type
Conference paper
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Restricted until
2037-12-31
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