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    Learning Behaviour for Service Personalisation and Adaptation

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    chen-ICMLC-paper.pdf (626.3Kb)
    Date
    2014-12-05
    Author
    Chen, Liming;
    Skillen, Kerry-Louise;
    Burns, William;
    Quinn, Susan;
    Rafferty, Joseph;
    Nugent, Chris;
    Donnelly, Mark P.;
    Solheim, Ivar
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    Abstract
    Context-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.
    Description
    Citation : Chen, L. et al. (2014) Learning Behaviour for Service Personalisation and Adaptation. Machine Learning and Cybernetics (ICMLC2014), pp. 287–297
    URI
    http://hdl.handle.net/2086/13765
    DOI
    http://dx.doi.org/10.1007/978-3-662-45652-1_29
    ISBN : 9783662456514
    Research Institute : Cyber Technology Institute (CTI)
    Peer Reviewed : Yes
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    • School of Computer Science and Informatics [2966]

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