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Multi-Agent Negotiation in B2C E-Commerce Based on Data Mining Methods

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  • Bireshwar Dass Mazumdar

    (Institute of Technology, Banaras Hindu University, India)

  • R. B. Mishra

    (Institute of Technology, Banaras Hindu University, India)

Abstract

The Multi agent system (MAS) model has been extensively used in the different tasks of e-commerce like customer relation management (CRM), negotiation and brokering. For the success of CRM, it is important to target the most profitable customers of a company. This paper presents a multi-attribute negotiation approach for negotiation between buyer and seller agents. The communication model and the algorithms for various actions involved in the negotiation process is described. The paper also proposes a multi-attribute based utility model, based on price, response-time, and quality. In support of this approach, a prototype system providing negotiation between buyer agents and seller agents is presented.

Suggested Citation

  • Bireshwar Dass Mazumdar & R. B. Mishra, 2010. "Multi-Agent Negotiation in B2C E-Commerce Based on Data Mining Methods," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 6(4), pages 46-70, October.
    • Handle: RePEc:igg:jiit00:v:6:y:2010:i:4:p:46-70
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