The efficacy of tags in social tagging systems

Authors:
Khasfariyati Razikin;Dion Hoe-Lian Goh;Elizabeth Kian Cheow Cheong;Yi Foong Ow
Affiliations:
Wee Kim Wee School of Communication and Information, Nanyang Technological University;Wee Kim Wee School of Communication and Information, Nanyang Technological University;Wee Kim Wee School of Communication and Information, Nanyang Technological University;Wee Kim Wee School of Communication and Information, Nanyang Technological University
Venue:
ICADL'07 Proceedings of the 10th international conference on Asian digital libraries: looking back 10 years and forging new frontiers
Year:
2007

Citing 2
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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.