Towards A Framework for Detecting Tag Spam

dc.contributor.authorChang, Eric
dc.coverage.countryUnited Statesen_US
dc.coverage.regionNorth Americaen_US
dc.date.accessioned2017-12-15T14:17:39Z
dc.date.available2017-12-15T14:17:39Z
dc.date.issued2017en_US
dc.description.abstract"Tagging system is the killer application of Web2.0 services that can help users to share, tag and discover those interesting resources. In recent years, as tagging systems are gaining in popularity, many studies also indicated that tagging services are susceptible to tag spam: misleading tags that are generated in order to increase the popularity of some resources or simply to confuse users in the networks. In this report, we summarize both the representative tagging systems and the existing methods of defending against tag spam in the application. Through analyzing the existing tagging systems, we will propose the conclusions and future works at the end of the report."en_US
dc.identifier.urihttps://hdl.handle.net/10535/10327
dc.languageEnglishen_US
dc.publisher.workingpaperseriesYale Universityen_US
dc.relation.ispartofseriesWorking Paperen_US
dc.subjectcomputer scienceen_US
dc.subject.classificationComputer Scienceen_US
dc.subject.sectorInformation & Knowledgeen_US
dc.titleTowards A Framework for Detecting Tag Spamen_US
dc.typeWorking Paperen_US
dc.type.methodologyCase Studyen_US

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