Multi-agent technology and ontologies to support personalization in B2C E-Commerce

  • Authors:
  • D. Rosaci;G. M. L. Sarnè

  • Affiliations:
  • DIIES, Universití "Mediterranea" di Reggio Calabria, Via Graziella Loc. Feo di Vito, 89123 Reggio Calabria, Italy;DICEAM, Universití "Mediterranea" di Reggio Calabria, Via Graziella Loc. Feo di Vito, 89123 Reggio Calabria, Italy

  • Venue:
  • Electronic Commerce Research and Applications
  • Year:
  • 2014

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Abstract

In this paper we present an XML-based multi-agent system, called Multi Agent System for Traders (MAST), that supports several Business-to-Customer e-Commerce activities, including advertisements and payments. MAST helps both customers and merchants in performing their tasks by using a personalized approach. MAST's e-payment model avoids exchanging sensitive information, reinforcing trust between merchants and customers. A complete prototype of MAST has been implemented under the JADE framework, and it has been exploited for realizing some experiments, in order to evaluate its performances.