Paper Info
Title
DSpam: Defending Against Spam in Tagging Systems via Users' Reliability
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.
Year
DOI
Venue
2010
10.1109/ICPADS.2010.63
ICPADS
Keywords
Field
DocType
resisting spam,recommendation reliability,tag search scheme,tag search result,unfamiliar user,interacted user,tagging systems,feedback-based reliability,dspam client group,search result,average reliability,computational modeling,reliability,mathematical model,tagging system
World Wide Web,Information retrieval,Computer science,Tag system
Conference
Citations 
PageRank 
References 
3
0.45
13
Authors
7
Name
Order
Citations
PageRank
Yongang Wang130.45
Ennan Zhai210019.42
Cui Cao330.45
Yongqiang Xie430.45
Zhaojun Wang531.80
Jianbin Hu617922.43
Zhong Chen750358.35