Tagging systems allow users to interactively annotate a pool
of shared resources using descriptive tags. As tagging sys-
tems are gaining in popularity, they become more suscepti-
ble to tag spam: misleading tags that are generated in or-
der to increase the visibility of some resources or simply to
confuse users. We introduce a framework for modeling tag-
ging 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 be-
havior of existing approaches under malicious attacks and
the impact of a moderator and our ranking method.
%0 Conference Paper
%1 1244420
%A Koutrika, Georgia
%A Effendi, Frans Adjie
%A Gyöngyi, Zoltán
%A Heymann, Paul
%A Garcia-Molina, Hector
%B AIRWeb '07: Proceedings of the 3rd international workshop on Adversarial information retrieval on the web
%C New York, NY, USA
%D 2007
%I ACM Press
%K garcia-molina imported paper spam tagging
%P 57--64
%R http://doi.acm.org/10.1145/1244408.1244420
%T Combating spam in tagging systems
%U http://portal.acm.org/citation.cfm?id=1244408.1244420#
%X Tagging systems allow users to interactively annotate a pool
of shared resources using descriptive tags. As tagging sys-
tems are gaining in popularity, they become more suscepti-
ble to tag spam: misleading tags that are generated in or-
der to increase the visibility of some resources or simply to
confuse users. We introduce a framework for modeling tag-
ging 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 be-
havior of existing approaches under malicious attacks and
the impact of a moderator and our ranking method.
%@ 978-1-59593-732-2
@inproceedings{1244420,
abstract = {Tagging systems allow users to interactively annotate a pool
of shared resources using descriptive tags. As tagging sys-
tems are gaining in popularity, they become more suscepti-
ble to tag spam: misleading tags that are generated in or-
der to increase the visibility of some resources or simply to
confuse users. We introduce a framework for modeling tag-
ging 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 be-
havior of existing approaches under malicious attacks and
the impact of a moderator and our ranking method.
},
added-at = {2007-10-08T15:37:25.000+0200},
address = {New York, NY, USA},
author = {Koutrika, Georgia and Effendi, Frans Adjie and Gy\"{o}ngyi, Zolt\'{a}n and Heymann, Paul and Garcia-Molina, Hector},
biburl = {https://www.bibsonomy.org/bibtex/2776b76b33d469e438b0e5f74fc7ec7f0/andreab},
booktitle = {AIRWeb '07: Proceedings of the 3rd international workshop on Adversarial information retrieval on the web},
description = {Combating spam in tagging systems},
doi = {http://doi.acm.org/10.1145/1244408.1244420},
interhash = {8b6de1f035a46f5465f1ed868a18c79a},
intrahash = {776b76b33d469e438b0e5f74fc7ec7f0},
isbn = {978-1-59593-732-2},
keywords = {garcia-molina imported paper spam tagging},
location = {Banff, Alberta, Canada},
pages = {57--64},
publisher = {ACM Press},
timestamp = {2007-10-08T15:37:25.000+0200},
title = {Combating spam in tagging systems},
url = {http://portal.acm.org/citation.cfm?id=1244408.1244420#},
year = 2007
}