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The Design of Web Information Automatic Retrieval System Based on Multi-Agent

机译:基于多代理的Web信息自动检索系统设计

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This paper briefly introduces the concept and status quo of the information retrieving technique, Proposes an automatic Web information retrieving system based on Multiagent. This system analyzes its model architecture and work principle, gives solution to critical problems, leads Support Vector Machine (SVM) into intelligent filter subsystem, therefore to realize intelligent classifying and retrieving information on the Web efficiently. Experiment results prove that this system can improve recall ratio and precision ratio effectively and then attain a satisfying personal retrieving effect.
机译:本文简要介绍了信息检索技术的概念和现状,提出了一种基于多算G的自动Web信息检索系统。该系统分析其模型架构和工作原理,使解决方案对关键问题,引导支持向量机(SVM)进入智能滤波器子系统,因此实现有效地实现智能分类和检索网络上的信息。实验结果证明,该系统可以有效地提高召回比率和精度比,然后达到满足的个人检索效果。

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