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VLDB
2004
ACM
95views Database» more  VLDB 2004»
13 years 10 months ago
Combating Web Spam with TrustRank
Web spam pages use various techniques to achieve higher-than-deserved rankings in a search engine’s results. While human experts can identify spam, it is too expensive to manual...
Zoltán Gyöngyi, Hector Garcia-Molina, ...
ASUNAM
2009
IEEE
13 years 10 months ago
Filtering Spam in Social Tagging System with Dynamic Behavior Analysis
—Spam in social tagging systems introduced by some malicious participants has become a serious problem for its global popularizing. Some studies which can be deduced to static us...
Bo Liu, Ennan Zhai, Huiping Sun, Yelu Chen, Zhong ...
AIRWEB
2007
Springer
13 years 11 months ago
Combating Spam in Tagging Systems
Tagging systems allow users to interactively annotate a pool of shared resources using descriptive tags. As tagging systems are gaining in popularity, they become more susceptible...
Georgia Koutrika, Frans Adjie Effendi, Zoltá...
CCS
2008
ACM
13 years 6 months ago
Spamalytics: an empirical analysis of spam marketing conversion
The "conversion rate" of spam -- the probability that an unsolicited e-mail will ultimately elicit a "sale" -- underlies the entire spam value proposition. How...
Chris Kanich, Christian Kreibich, Kirill Levchenko...
CCS
2010
ACM
13 years 5 months ago
@spam: the underground on 140 characters or less
In this work we present a characterization of spam on Twitter. We find that 8% of 25 million URLs posted to the site point to phishing, malware, and scams listed on popular blackl...
Chris Grier, Kurt Thomas, Vern Paxson, Michael Zha...