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CEAS
2007
Springer
13 years 11 months ago
Characterizing Web Spam Using Content and HTTP Session Analysis
Web spam research has been hampered by a lack of statistically significant collections. In this paper, we perform the first large-scale characterization of web spam using conten...
Steve Webb, James Caverlee, Calton Pu
ML
2010
ACM
142views Machine Learning» more  ML 2010»
13 years 3 months ago
Graph regularization methods for Web spam detection
We present an algorithm, witch, that learns to detect spam hosts or pages on the Web. Unlike most other approaches, it simultaneously exploits the structure of the Web graph as wel...
Jacob Abernethy, Olivier Chapelle, Carlos Castillo
CEAS
2011
Springer
12 years 5 months ago
Spam detection using web page content: a new battleground
Traditional content-based e-mail spam filtering takes into account content of e-mail messages and apply machine learning techniques to infer patterns that discriminate spams from...
Marco Túlio Ribeiro, Pedro Henrique Calais ...
AIRWEB
2008
Springer
13 years 7 months ago
Identifying web spam with user behavior analysis
Combating Web spam has become one of the top challenges for Web search engines. State-of-the-art spam detection techniques are usually designed for specific known types of Web spa...
Yiqun Liu, Rongwei Cen, Min Zhang, Shaoping Ma, Li...
CORR
2011
Springer
255views Education» more  CORR 2011»
12 years 9 months ago
Link Spam Detection based on DBSpamClust with Fuzzy C-means Clustering
This Search engine became omnipresent means for ingoing to the web. Spamming Search engine is the technique to deceiving the ranking in search engine and it inflates the ranking. ...
S. K. Jayanthi, S. Sasikala