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dc.contributor.authorChen, Limingen
dc.contributor.authorSkillen, Kerry-Louiseen
dc.contributor.authorBurns, Williamen
dc.contributor.authorQuinn, Susanen
dc.contributor.authorRafferty, Josephen
dc.contributor.authorNugent, Chrisen
dc.contributor.authorDonnelly, Mark P.en
dc.contributor.authorSolheim, Ivaren
dc.date.accessioned2017-03-21T09:52:52Z
dc.date.available2017-03-21T09:52:52Z
dc.date.issued2014-12-05
dc.identifier.citationChen, L. et al. (2014) Learning Behaviour for Service Personalisation and Adaptation. Machine Learning and Cybernetics (ICMLC2014), pp. 287–297en
dc.identifier.uri9783662456514
dc.identifier.urihttp://hdl.handle.net/2086/13765
dc.description.abstractContext-aware applications within pervasive environments are increasingly being developed as services and deployed in the cloud. As such these services are increasingly required to be adaptive to individual users to meet their specific needs or to reflect the changes of their behavior. To address this emerging challenge this paper introduces a service-oriented personalisation framework for service personalisation with special emphasis being placed on behavior learning for user model and service function adaptation. The paper describes the system architecture and the underlying methods and technologies including modelling and reasoning, behavior analysis and a personalisation mechanism. The approach has been implemented in a service-oriented prototype system, and evaluated in a typical scenario of providing personalised travel assistance for the elderly using the help-on-demand services deployed on smartphone.en
dc.publisherSpringeren
dc.subjectPersonalisationen
dc.subjectBehavior learningen
dc.subjectAdaptationen
dc.subjectPervasive systemsen
dc.subjectSemantic modelingen
dc.subjectAssistive livingen
dc.titleLearning Behaviour for Service Personalisation and Adaptationen
dc.typeConferenceen
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-662-45652-1_29
dc.peerreviewedYesen
dc.funderN/Aen
dc.projectidN/Aen
dc.cclicenceN/Aen
dc.date.acceptance2014-09-05en
dc.researchinstituteCyber Technology Institute (CTI)en


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