Interface Agents that Learn: An Investigation of Learning Issues in a Mail Agent Interface
Payne, Terry and Edwards, Peter (1995) Interface Agents that Learn: An Investigation of Learning Issues in a Mail Agent Interface.
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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.
|Item Type:||Monograph (Technical Report)|
|Divisions:||Faculty of Physical Sciences and Engineering > Electronics and Computer Science
|Date Deposited:||07 Nov 2007|
|Last Modified:||27 Mar 2014 20:09|
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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