期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2011
卷号：1
期号：2-2
出版社：Seventh Sense Research Group
摘要：—Spam is a problem in the search engines so to detect the spam sites we used the two techniques. In this paper, we present an efficient client spam detection system ba sed on a classifier that combines new link based features with Language Model ( LM) based ones. For instance, we use the search engine, qualified link analysis (QLA) , and Spam log
关键词：Detecting Nepotistic Links Based On Qualified Link Analysis and Language Models
