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Personalisation for User Agents

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dc.contributor.authorCole, Joshua
dc.contributor.authorGray, Matthew
dc.contributor.authorLloyd, John
dc.contributor.authorNg, Kee Siong
dc.coverage.spatialUtrecht Netherlands
dc.date.accessioned2015-12-13T23:00:57Z
dc.date.createdJuly 25-29 2005
dc.date.issued2005
dc.date.updated2015-12-12T07:37:01Z
dc.description.abstractThis 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.
dc.identifier.isbn1595930949
dc.identifier.urihttp://hdl.handle.net/1885/84369
dc.publisherAssociation for Computing Machinery Inc (ACM)
dc.relation.ispartofseriesInternational Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005)
dc.sourceProceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005)
dc.source.urihttp://portal.acm.org/citation.cfm?doid=1082473.1082565
dc.subjectKeywords: Personalisation; Symbolic learning; User agents; Computer applications; Learning systems; Online systems; Multi agent systems Personalisation; Symbolic learning; User agents
dc.titlePersonalisation for User Agents
dc.typeConference paper
local.bibliographicCitation.lastpage610
local.bibliographicCitation.startpage603
local.contributor.affiliationCole, Joshua, College of Engineering and Computer Science, ANU
local.contributor.affiliationGray, Matthew, College of Engineering and Computer Science, ANU
local.contributor.affiliationLloyd, John, College of Engineering and Computer Science, ANU
local.contributor.affiliationNg, Kee Siong, College of Engineering and Computer Science, ANU
local.contributor.authoruidCole, Joshua, u4055291
local.contributor.authoruidGray, Matthew, u9713393
local.contributor.authoruidLloyd, John, u9816796
local.contributor.authoruidNg, Kee Siong, u9914730
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.ariespublicationMigratedxPub12651
local.identifier.scopusID2-s2.0-33644801412
local.type.statusPublished Version

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