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VLDB
2004
ACM
95views Database» more  VLDB 2004»
14 years 5 days 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 12 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
14 years 1 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 8 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 7 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...