NDLI: DSpam: Defending Against Spam in Tagging Systems via Users' Reliability

Content Provider	IEEE Xplore Digital Library
Author	Yongang Wang Ennan Zhai Cui Cao Yongqiang Xie Zhaojun Wang Jianbin Hu Zhong Chen
Copyright Year	2010
Abstract	Resisting spam in tagging system is very challenging. This paper presents DSpam, a novel spam-resistant tagging system which can significantly diminish spam in tag search results with users’ reliabilities. DSpam client groups other users into unfamiliar users and interacted users according to the fact whether the client has interacted with such users. For an unfamiliar user, the client computes his reliability by tagging behavior-based mechanism which reflects correlation of annotations between them. For an interacted user, the reliability includes two parts: feedback-based reliability, which indicates direct interactions between that user and the client, and recommendation reliability, which indicates the evaluation about that user from the client’s friends. The client ranks search result with the average reliabilities of himself with respect to annotators of each result. Experimental results show DSpam can effectively resist tag spam and work better than existing tag search schemes.
Starting Page	139
Ending Page	146
File Size	637091
Page Count	8
File Format	PDF
ISBN	9781424497270
ISSN	15219097
DOI	10.1109/ICPADS.2010.63
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Reliability Tagging Computational modeling Mathematical model Equations Social network services Videos users' reliability Tagging system Tag spam
Content Type	Text
Resource Type	Article
Subject	Hardware and Architecture

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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