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» Graph regularization methods for Web spam detection
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AIRWEB
2006
Springer
13 years 11 months ago
Tracking Web Spam with Hidden Style Similarity
Automatically generated content is ubiquitous in the web: dynamic sites built using the three-tier paradigm are good examples (e.g. commercial sites, blogs and other sites powered...
Tanguy Urvoy, Thomas Lavergne, Pascal Filoche
HT
2003
ACM
14 years 23 days ago
The connectivity sonar: detecting site functionality by structural patterns
Web sites today serve many different functions, such as corporate sites, search engines, e-stores, and so forth. As sites are created for different purposes, their structure and...
Einat Amitay, David Carmel, Adam Darlow, Ronny Lem...
CIKM
2009
Springer
14 years 2 months ago
Exploiting bidirectional links: making spamming detection easier
Previous anti-spamming algorithms based on link structure suffer from either the weakness of the page value metric or the vagueness of the seed selection. In this paper, we propos...
Yan Zhang, Qiancheng Jiang, Lei Zhang, Yizhen Zhu
WWW
2008
ACM
14 years 8 months ago
Web graph similarity for anomaly detection (poster)
Web graphs are approximate snapshots of the web, created by search engines. Their creation is an error-prone procedure that relies on the availability of Internet nodes and the fa...
Panagiotis Papadimitriou 0002, Ali Dasdan, Hector ...
CIKM
2011
Springer
12 years 7 months ago
Content-driven detection of campaigns in social media
We study the problem of detecting coordinated free text campaigns in large-scale social media. These campaigns – ranging from coordinated spam messages to promotional and advert...
Kyumin Lee, James Caverlee, Zhiyuan Cheng, Daniel ...