The efficacy of tags in social tagging systems

Khasfariyati Razikin; Dion Hoe Lian Goh; Elizabeth Kian Cheow Cheong; Yi Foong Ow

doi:10.1007/978-3-540-77094-7_69

The efficacy of tags in social tagging systems

Khasfariyati Razikin^*, Dion Hoe Lian Goh, Elizabeth Kian Cheow Cheong, Yi Foong Ow

^*Corresponding author for this work

Nanyang Technological University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

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.

Original language	English
Title of host publication	Asian Digital Libraries
Subtitle of host publication	Looking Back 10 Years and Forging New Frontiers - 10th International Conference on Asian Digital Libraries, ICADL 2007, Proceedings
Publisher	Springer Verlag
Pages	506-507
Number of pages	2
ISBN (Print)	9783540770930
DOIs	https://doi.org/10.1007/978-3-540-77094-7_69
Publication status	Published - 2007
Externally published	Yes
Event	10th International Conference on Asian Digital Libraries, ICADL 2007 - Hanoi, Viet Nam Duration: Dec 10 2007 → Dec 13 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4822 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Conference on Asian Digital Libraries, ICADL 2007
Country/Territory	Viet Nam
City	Hanoi
Period	12/10/07 → 12/13/07

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Machine learning
Social tagging
Support vector machines

Access to Document

10.1007/978-3-540-77094-7_69

Cite this

Razikin, K., Goh, D. H. L., Cheong, E. K. C., & Ow, Y. F. (2007). The efficacy of tags in social tagging systems. In Asian Digital Libraries: Looking Back 10 Years and Forging New Frontiers - 10th International Conference on Asian Digital Libraries, ICADL 2007, Proceedings (pp. 506-507). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4822 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-77094-7_69

Razikin, Khasfariyati ; Goh, Dion Hoe Lian ; Cheong, Elizabeth Kian Cheow et al. / The efficacy of tags in social tagging systems. Asian Digital Libraries: Looking Back 10 Years and Forging New Frontiers - 10th International Conference on Asian Digital Libraries, ICADL 2007, Proceedings. Springer Verlag, 2007. pp. 506-507 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "The efficacy of tags in social tagging systems",

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 = "Machine learning, Social tagging, Support vector machines",

author = "Khasfariyati Razikin and Goh, {Dion Hoe Lian} and Cheong, {Elizabeth Kian Cheow} and Ow, {Yi Foong}",

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Razikin, K, Goh, DHL, Cheong, EKC & Ow, YF 2007, The efficacy of tags in social tagging systems. in Asian Digital Libraries: Looking Back 10 Years and Forging New Frontiers - 10th International Conference on Asian Digital Libraries, ICADL 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4822 LNCS, Springer Verlag, pp. 506-507, 10th International Conference on Asian Digital Libraries, ICADL 2007, Hanoi, Viet Nam, 12/10/07. https://doi.org/10.1007/978-3-540-77094-7_69

The efficacy of tags in social tagging systems. / Razikin, Khasfariyati; Goh, Dion Hoe Lian; Cheong, Elizabeth Kian Cheow et al.
Asian Digital Libraries: Looking Back 10 Years and Forging New Frontiers - 10th International Conference on Asian Digital Libraries, ICADL 2007, Proceedings. Springer Verlag, 2007. p. 506-507 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4822 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Cheong, Elizabeth Kian Cheow

AU - Ow, Yi Foong

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AB - 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.

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Razikin K, Goh DHL, Cheong EKC, Ow YF. The efficacy of tags in social tagging systems. In Asian Digital Libraries: Looking Back 10 Years and Forging New Frontiers - 10th International Conference on Asian Digital Libraries, ICADL 2007, Proceedings. Springer Verlag. 2007. p. 506-507. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-77094-7_69

The efficacy of tags in social tagging systems

Abstract

Publication series

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ASJC Scopus Subject Areas

Keywords

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