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dc.contributor.authorCLARKE, SIOBHANen
dc.date.accessioned2008-04-26T08:03:36Z
dc.date.available2008-04-26T08:03:36Z
dc.date.created11-13th Octen
dc.date.issued2007en
dc.date.submitted2007en
dc.identifier.citationShiu Lun Tsang, Siobhán Clarke., Mining User Models for Effective Adaptation of Context-aware Applications, Proceedings of the IEEE International Conference on Intelligent Pervasive Computing, (IPC-07),, Intelligent Pervasive Computing -07, 11-13th Oct, 2007en
dc.identifier.otherYen
dc.identifier.urihttp://hdl.handle.net/2262/16489
dc.descriptionPUBLISHEDen
dc.description.abstractCurrent context-aware adaptation techniques are limited in their support for user personalisation. Complex codebases, a reliance on developer modification and an inability to automatically learn from user interactions hinder their use for tailoring behaviour to individuals. To address these problems we have devised a personalised, dynamic, run-time approach to adaptation. The approach provides techniques for selecting the relevant information from a user's behaviour history, for mining usage patterns, and for generating, prioritising, and selecting adaptation behaviour. Our evaluation study shows that the proposed mining approach is more accurate than rule-based and neural network methods when compared to actual user choices.en
dc.description.sponsorshipSupported by the Irish Research Council for Science Engineering and Technology (IRCSET)en
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.rightsYen
dc.subjectcontext-aware applicationsen
dc.subjectadaptationen
dc.subjectpersonalisationen
dc.titleMining User Models for Effective Adaptation of Context-aware Applicationsen
dc.title.alternativeProceedings of the IEEE International Conference on Intelligent Pervasive Computing, (IPC-07),en
dc.title.alternativeIntelligent Pervasive Computing -07en
dc.typeConference Paperen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/sclarkeen
dc.identifier.rssinternalid50424en
dc.identifier.doihttp://dx.doi.org/10.1109/ipc.2007.108en
dc.identifier.rssurihttp://www.ieeexplore.ieee.org/iel5/4438370/4438371/04438420.pdf?tp=&isnumber=4438371&arnumber=4438420en


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