基于结构信息和时域信息的垃圾网页检测技术

Web Spam detection based on structural and temporal information

提出一种将结构信息和时域信息综合运用来检测Spam技术的方法,并针对目前流行的Spam技术,从四个月的网络链接图中提取大量的结构和时域信息特征,训练一组检测Spam技术的网页分类器,取得了很好的实验结果。

A novel framework was proposed to combine structural information and temporal information together for Spam detection. Targeting at detecting Some popularity spamming technologies, a group of well-designed structural and temporal features was extracted from a series of link graphs of four successive months, and train a set of classifiers to distinguish normal websites from spam websites. Experiments on a real-world dataset show that the proposed method is quite effective for Web Spam detection