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An E-Commerce model based on a multi-agent technology

机译:基于多功能技术技术的电子商务模型

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E-Commerce, based on the Internet spread, has changed very much, allowing us to realize every day a very huge number of transactions. A consequence of this it may be seen also in the business model used. The Customer-to-Business model is beginning to be used more often on the market. This paper presents a solution for this business model, solution that tries to overtake some of its disadvantages like to identify a group of clients without a communication between them, to select a product or service very close to the clients demand based on a multi-criteria analysis, to optimize the network traffic. The proposed solution is based on the multi-agent technology, a data mining algorithm and a communication algorithm for mobile agents. Finally, an implementation of synthetizing clients' preferences using a specific algorithm is shown for the case of an internet banking service provider.
机译:基于互联网传播的电子商务,已经改变了很多,允许我们每天实现一项非常大量的交易。 它的结果也可以在使用的商业模式中看到。 客户到商业模式开始在市场上更频繁地使用。 本文提出了该商业模式的解决方案,解决这些商业模式的解决方案,以超越其一些缺点,如在没有它们之间的通信的情况下识别一组客户端,以基于多标准选择非常接近客户需求的产品或服务 分析,优化网络流量。 所提出的解决方案基于多代理技术,数据挖掘算法和移动代理通信算法。 最后,示出了使用特定算法的合成客户端的偏好的实现,用于网上银行服务提供商的情况。

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