| Available via | http://dbpubs.stanford.edu/pub/2007-11 |
|
Submitted on |
19th of February 2007 |
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Author |
Koutrika, Georgia; Effendi, Frans; Gyongyi, Zoltan; Heymann, Paul; Garcia-Molina, Hector |
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Title |
Combating Spam in Tagging Systems |
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Date of publication |
19th of February 2007 |
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Citation |
Koutrika, Georgia; Effendi, Frans; Gyongyi, Zoltan; Heymann, Paul; Garcia-Molina, Hector. Combating Spam in Tagging Systems. |
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Number of pages |
15 |
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Language |
English |
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Project |
Stanford InfoLab |
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Type |
Technical Report |
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Subject group |
Miscellaneous |
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Abstract |
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. |
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Keywords |
tagging, spam |
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Contact address |
koutrika@stanford.edu |
| Fulltext source |
Postscript (ps, ps.gz, ps.zip)
PDF (pdf, pdf.gz, pdf.zip)
| Management of the document by | siroker@db.stanford.edu
| |