Context-Aware Systems and Applications. 4th International Conference, ICCASA 2015, Vung Tau, Vietnam, November 26-27, 2015, Revised Selected Papers

Research Article

Context-Aware Approach for Determining the Threshold Price in Name-Your-Own-Price Channels

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  • @INPROCEEDINGS{10.1007/978-3-319-29236-6_9,
        author={Asanga Nimalasena and Vladimir Getov},
        title={Context-Aware Approach for Determining the Threshold Price in Name-Your-Own-Price Channels},
        proceedings={Context-Aware Systems and Applications. 4th International Conference, ICCASA 2015, Vung Tau, Vietnam, November 26-27, 2015, Revised Selected Papers},
        proceedings_a={ICCASA},
        year={2016},
        month={4},
        keywords={Context-aware systems Self-adaptation Multi-action evaluation},
        doi={10.1007/978-3-319-29236-6_9}
    }
    
  • Asanga Nimalasena
    Vladimir Getov
    Year: 2016
    Context-Aware Approach for Determining the Threshold Price in Name-Your-Own-Price Channels
    ICCASA
    Springer
    DOI: 10.1007/978-3-319-29236-6_9
Asanga Nimalasena1,*, Vladimir Getov1,*
  • 1: University of Westminster
*Contact email: a.nimalasena@westminster.ac.uk, v.s.getov@westminster.ac.uk

Abstract

Key feature of a context-aware application is the ability to adapt based on the change of context. Two approaches that are widely used in this regard are the context-action pair mapping where developers match an action to execute for a particular context change and the adaptive learning where a context-aware application refines its action over time based on the preceding action’s outcome. Both these approaches have limitation which makes them unsuitable in situations where a context-aware application has to deal with unknown context changes. In this paper we propose a framework where adaptation is carried out via concurrent multi-action evaluation of a dynamically created action space. This dynamic creation of the action space eliminates the need for relying on the developers to create context-action pairs and the concurrent multi-action evaluation reduces the adaptation time as opposed to the iterative approach used by adaptive learning techniques. Using our reference implementation of the framework we show how it could be used to dynamically determine the threshold price in an e-commerce system which uses the name-your-own-price (NYOP) strategy.