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Weighing the usefulness of social tags for content discovery

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Title: Weighing the usefulness of social tags for content discovery
Author: Khasfariyati Razikin; Goh, Dion Hoe-Lian; Lee, Chei Sian; Chua, Alton Yeow Kuan
Copyright year: 2008
Abstract: A new wave of social computing applications has empowered users to create and share a variety of content. This upsurge of user-generated data involves a paradigm shift in terms of the management, searching and accessing of information. Social tagging is one of these ways. This paper serves as an extension to the existing work done on investigating the effectiveness of tags for content discovery using text categorization techniques. In particular, we explored how different tag weighting schemes affect classifier performance. Six text categorization experiments were conducted using a dataset drawn from del.icio.us. The results suggest that not all tags are useful for content discovery even with different weights associated with them. Content analysis was done to understand the relationships between the use of a tag on a document and the document’s terms. Implications of this research are discussed.
Subject: DRNTU::Library and information science::Libraries::Information retrieval and analysis
Type: Conference Paper
Conference name: International Conference on Asian Digital Libraries (11th : 2008 : Bali, Indonesia)
School: Wee Kim Wee School of Communication and Information
Rights: © 2008 Springer-Verlag Berlin Heidelberg. This is the author created version of a work that has been peer reviewed and accepted for publication by 11th International Conference on Asian Digital Libraries: Universal and Ubiquitous Access To information (ICADL), Springer-Verlag Berlin Heidelberg. 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/10.1007/978-3-540-89533-6].
Version: Accepted version

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