基于向量空间模型的实时内容过滤

Real-time Content Filtering Based on Vector Space Model

内容过滤是网络安全领域的一个新课题,目前对内容过滤技术的研究集中于对关键词的检查和分析,过滤精度较低。该文建立了一个基于向量空间模型的内容过滤模型,它提高了过滤精度,并且能在过滤精度与实时性之间较好地达成平衡。

Content filtering in network security is a new subject. At present, the research on content filtering technique focuses on examining and analyzing key words. This method brings the lower filtering precision. This paper founds a content filtering model based on vector space model that improves the filtering precision. And, the model keeps a better balance between the filtering precision and instantaneity.