【摘要】 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。更多还原

【Abstract】 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.更多还原