Multi-agent technology and ontologies to support personalization in B2C E-Commerce
نویسندگان
چکیده
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. 2013 Elsevier B.V. All rights reserved.
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عنوان ژورنال:
- Electronic Commerce Research and Applications
دوره 13 شماره
صفحات -
تاریخ انتشار 2014