The Efficacy of Tags in Social Tagging Systems

Khasfariyati Razikin, Dion Hoe-Lian Goh, Elizabeth Kian Cheow Cheong, and Yi Foong Ow

Abstract. Social tagging systems are a popular means for sharing resources. However, social tagging depends on individual knowledge. We evaluate the effectiveness of tags in describing the resources using support vector machines via classification. We achieved precision and recall at 90.22% and 99.27% respectively, with an average accuracy of 89.84%. Our results show that tags may help users’ group resources into broad categories.

Keywords: Social Tagging, Support Vector Machines, Machine Learning

LNCS 4822, p. 506 f.

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