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Can social tags help you find what you want?

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Can social tags help you find what you want?

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Title: Can social tags help you find what you want?
Author: Khasfariyati Razikin; Goh, Dion Hoe-Lian; Chua, Alton Yeow Kuan; Lee, Chei Sian
Copyright year: 2008
Abstract: One of the uses of social tagging is to associate freely selected terms (tags) to resources for sharing resources among tag consumers. This enables tag consumers to locate new resources through the collective intelligence of other tag creators, and offers a new avenue for resource discovery. This paper investigates the effectiveness of tags as resource descriptors determined through the use of text categorisation using Support Vector Machines. Two text categorisation experiments were done for this research, and tags and web pages from del.icio.us were used. The first study concentrated on the use of terms as its features. The second study used both terms and its tags as part of its feature set. The results indicate that the tags were not always reliable indicators of the resource contents. At the same time, the results from the terms only experiment were better compared to the experiment with terms and tags. A deeper analysis of a sample of tags and documents were also conducted and implications of this research are discussed.
Subject: DRNTU::Library and information science::Libraries::Digital libraries and information portals
Type: Conference Paper
Conference name: European Conference on Research and Advanced Technology for Digital Libraries ECDL (12th : 2008)
School: Wee Kim Wee School of Communication and Information
Rights: © 2008 Springer. This is the author created version of a work that has been peer reviewed and accepted for publication by Lecture Notes in Computer Science, Springer. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [DOI: http://dx.doi.org/10.1007/978-3-540-87599-4_6].
Version: Accepted version

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