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Intelligent Store Agent for Mobile Shopping

Author

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  • Ryan Anthony Brown

    (University of West Indies, Jamaica)

  • Suresh Sankaranarayanan

    (University of West Indies, Jamaica)

Abstract

The conventional shopping process involves a human being visiting a designated store and perusing first the items available. A purchase decision is then made based on the information so gathered. However, a number of unique challenges a human shopper would face, if he/she prefers to execute this process using a mobile device, such as a phone. Taking this aspect into consideration, the authors propose the use of an Intelligent Agent for performing the Mobile Shopping on behalf of customers. In this situation, the agents gather information about the products through the use of ‘Store Coordinator Agents’ and then use them for comparing with the user preferences. The proposed agent based system is composed of two agents, viz., a User Agent and Store Coordinator Agent. The implementation of the scheme so proposed has been done using JADE-LEAP development kit and the performance results are discussed in the paper.

Suggested Citation

  • Ryan Anthony Brown & Suresh Sankaranarayanan, 2011. "Intelligent Store Agent for Mobile Shopping," International Journal of E-Services and Mobile Applications (IJESMA), IGI Global, vol. 3(1), pages 57-72, January.
    • Handle: RePEc:igg:jesma0:v:3:y:2011:i:1:p:57-72
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