Application research for the information searching system based on Bayesian Algorithm

Wang Zhong-sheng, Liang Chen-yan
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Abstract

This paper proposes a solution of filtering garbage information, in order to solve the problem of dynamic delivery of documents. The solution balances the technique of Black and White List Spam Filtering, as well as the advantages and disadvantages of and Bayesian Algorithm. It creates the Bayesian Model based on the analysis of probability distributions of Junk key words, as well as design and implement a set of information filtering system. The system implements information filtering accurately and intelligently.
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基于贝叶斯算法的信息检索系统应用研究
为了解决文档的动态传递问题,本文提出了一种过滤垃圾信息的解决方案。该解决方案平衡了黑白名单垃圾邮件过滤技术以及贝叶斯算法的优缺点。在分析垃圾关键词概率分布的基础上,建立了贝叶斯模型,设计并实现了一套信息过滤系统。该系统能够准确、智能地实现信息过滤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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