Image Database Export Citations


Defending against Spam in Tagging Systems via Reputations

Show simple item record

dc.contributor.author Chang, Eric
dc.date.accessioned 2016-12-21T16:01:16Z
dc.date.available 2016-12-21T16:01:16Z
dc.date.issued 2016 en_US
dc.identifier.uri https://hdl.handle.net/10535/10221
dc.description.abstract "Global Internet is witnessing a rapidly growing popularity of tagging services on the social networks, which enable people to share and tag different categories of resources. However, the current tagging systems face a serious problem -- tag spam. In this paper, we propose SpamLimit -- a novel social- enhanced reputation mechanism against spam in tagging systems. First, we propose a basic reputation mechanism that provides the personalized reputation estimates to each user in system. Our approach can impose severe and quick punishment to spammers but also provide an incentive to promote normal users sharing the correct tags. Because users can rank the tag search results with the reputation estimates of owners of resources, the results provided by spammers can be degraded to the end of search results. Then, we utilize friend relationships, the social nature of tagging systems, to enhance the basic reputation mechanism. Because the friends are all real-world acquaintances, these reliable companions can provide many referential experiences to users. This will help to improve both performance and convergence of SpamLimit. Finally, our experiment results illustrate that SpamLimit can effectively defend against tag spam and work better than the existing tag search models in tagging systems." en_US
dc.language English en_US
dc.relation.ispartofseries Working Paper en_US
dc.subject research en_US
dc.subject.classification Computer Science en_US
dc.title Defending against Spam in Tagging Systems via Reputations en_US
dc.type Working Paper en_US
dc.type.methodology Modeling en_US
dc.publisher.workingpaperseries Yale University en_US
dc.subject.sector Information & Knowledge en_US

Files in this item

Files Size Format View
SpamLimit.pdf 336.5Kb PDF View/Open

This item appears in the following document type(s)

Show simple item record