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An Agent-Based Framework for E-Commerce Information Retrieval Management Using Genetic Algorithms

机译:基于代理的基于遗传算法的电子商务信息检索管理框架

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The paper addresses the issue of improving retrieval performance management for retrieval from document collections that exist on the Internet. It also comes with a solution that uses the benefits of the agent technology and genetic algorithms in the process of the information retrieving management. The most important paradigms of information retrieval are mentioned having the goal to make more evident the advantages of using the genetic algorithms based one. Within the paper, also a genetic algorithm that can be use for the proposed solution is detailed and a comparative description between the dynamic and static proposed solution is made. In the end, new future directions are shown based on elements presented in this paper. The future results look very encouraging.
机译:本文解决了改进检索性能管理的问题,以便从Internet上存在的文档集中进行检索。它还提供了一个解决方案,该解决方案在信息检索管理过程中利用了代理技术和遗传算法的优势。提到了信息检索的最重要范例,其目的是使使用基于遗传算法的遗传算法的优势更加明显。在本文中,还详细介绍了可用于提出的解决方案的遗传算法,并对动态和静态提出的解决方案进行了比较描述。最后,根据本文提出的要素显示了新的未来方向。未来的结果看起来非常令人鼓舞。

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