Weighing the usefulness of social tags for content discovery

Khasfariyati Razikin*, Dion Hoe Lian Goh, Chei Sian Lee, Alton Yeow Kuan Chua

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationDigital Libraries
Subtitle of host publicationUniversal and Ubiquitous Access to Information - 11th International Conference on Asian Digital Libraries, ICADL 2008, Proceedings
PublisherSpringer Verlag
Pages51-60
Number of pages10
ISBN (Print)3540895329, 9783540895329
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event11th International Conference on Asian Digital Libraries, ICADL 2008 - Bali, Indonesia
Duration: Dec 2 2008Dec 5 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5362 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Asian Digital Libraries, ICADL 2008
Country/TerritoryIndonesia
CityBali
Period12/2/0812/5/08

ASJC Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

Keywords

  • Content discovery and organization
  • Effectiveness
  • Social computing
  • Social tagging
  • Text categorization
  • Web 2.0

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