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.

Multi-agent technology and ontologies to support personalization in B2C E-Commerce / Rosaci, D; Sarne', G. - In: ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS. - ISSN 1567-4223. - 13:1(2014), pp. 1.13-1.23. [10.1016/j.elerap.2013.07.003]

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

ROSACI D;SARNE' G
2014-01-01

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.
2014
E-Commerce, Business-to-Customer, Electronic payment, CBB
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/1368
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