Large Scale Analysis of Search Engine Content

  • Authors:

  • John D. King

  • Affiliations:

  • School of Software Engineering and Data Communications, Queensland University of Technology, Australia, j5.king@qut.edu.au

  • Venue:
  • Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006
  • Year:
  • 2006

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Abstract

We mine a large taxonomic dataset for subject classification rules. We then use these rules to perform an extensive analysis of the subject matter of the largest general purpose internet search engines in use today.