Koutrika, Georgia and Effendi, Frans and Gyongyi, Zoltan and Heymann, Paul and Garcia-Molina, Hector (2007) Combating Spam in Tagging Systems. Technical Report. Stanford.
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 to tag spam: misleading tags that are generated in order to increase visibility of some resources or simply to confuse users. We introduce a framework for modeling tagging systems and user tagging behavior. We also describe a method for ranking documents matching a tag based on taggers' reliability. Using our framework, we study the behavior of existing approaches under malicious attacks and the impact of a moderator and our ranking method.
|Item Type:||Techreport (Technical Report)|
|Uncontrolled Keywords:||tagging, spam|
|Related URLs:||Project Homepage||http://infolab.stanford.edu/|
|Deposited By:||Import Account|
|Deposited On:||18 Feb 2007 16:00|
|Last Modified:||10 Dec 2008 17:24|
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