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2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery
Social tagging systems allow collaborative users to annotate shared resources with tags. Since they rely on user-contributed content, social tagging systems are vulnerable to spam annotations, which are generated by malicious users to mislead or confuse legitimate users. Thus, mechanisms for spam detection need to be developed to combat the flexible strategies of spammers for the success of social tagging systems. Since annotations are lack of relevant feature, the classical method of trainingdoi:10.1109/fskd.2009.401 fatcat:44t2ex37zfam7mxqddsa6o23ku