基于贝叶斯方法的网络信息过滤技术研究

随着计算机和网络技术的发展,网络上的信息越来越多,如何在短时间内查询到符合自己需求的有用信息,是每一个网络用户非常关心的问题。信息过滤的研究是当前一个比较热门的话题,信息的筛选和过滤是对信息按照预先确定的标准进行分类。本文在分析大量网络信息的基础上,利用贝叶斯方法进行研究,提出一个基于贝叶斯统计分析的信息过滤模型。

Study of Network Information Filtering Technique Based on Bayesian Method

With the development of computer and network technologies,there are more and more information on net.How to search the useful information in a short time which is proper to the requirements,it is a problem that Internet users very concern about.So the research on information filtering is currently a hot topic.The screening and filtering of information are to classify information according to predetermined standards.On the basis of analyzing a large number of network information,this article uses Bayesian method to study and presents an information filtering model based on Bayesian statistical analysis.