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Combating spam in tagging systems
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Source AIRWeb; Vol. 215 archive
Proceedings of the 3rd international workshop on Adversarial information retrieval on the web table of contents
Banff, Alberta, Canada
SESSION: Tagging, P2P, cloaking, and commercial intent table of contents
Pages: 57 - 64  
Year of Publication: 2007
ISBN:978-1-59593-732-2
Authors
Georgia Koutrika  Stanford University
Frans Adjie Effendi  Stanford University
Zoltán Gyöngyi  Stanford University
Paul Heymann  Stanford University
Hector Garcia-Molina  Stanford University
Publisher
ACM  New York, NY, USA
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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 the 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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  17

Collaborative Colleagues:
Georgia Koutrika: colleagues
Frans Adjie Effendi: colleagues
Zoltán Gyöngyi: colleagues
Paul Heymann: colleagues
Hector Garcia-Molina: colleagues