TagAssist: Automatic tag suggestion for blog posts

Research output: Contribution to conferencePaper

102 Scopus citations

Abstract

In this paper, we describe a system called TagAssist that provides tag suggestions for new blog posts by utilizing existing tagged posts. The system is able to increase the quality of suggested tags by performing lossless compression over existing tag data. In addition, the system employs a set of metrics to evaluate the quality of a potential tag suggestion. Coupled with the ability for users to manually add tags, TagAssist can ease the burden of tagging and increase the utility of retrieval and browsing systems built on top of tagging data.

Original languageEnglish (US)
StatePublished - Dec 1 2007
Event2007 International Conference on Weblogs and Social Media, ICWSM 2007 - Boulder, CO, United States
Duration: Mar 26 2007Mar 28 2007

Other

Other2007 International Conference on Weblogs and Social Media, ICWSM 2007
CountryUnited States
CityBoulder, CO
Period3/26/073/28/07

Keywords

  • Blogs
  • Case Base Reasoning
  • Tag Suggestions
  • Tags
  • Text Classification

ASJC Scopus subject areas

  • Computer Networks and Communications

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  • Cite this

    Sood, S. C., Hammond, K. J., Sood, S. O., & Birnbaum, L. A. (2007). TagAssist: Automatic tag suggestion for blog posts. Paper presented at 2007 International Conference on Weblogs and Social Media, ICWSM 2007, Boulder, CO, United States.