Web textual documents scoring based on discrete transforms with fuzzy weighting

  • Authors:
  • Piotr S. Szczepaniak;Michał Pryczek

  • Affiliations:
  • Institute of Computer Science, Technical University of Łódź, Lodz, Poland;Institute of Computer Science, Technical University of Łódź, Lodz, Poland

  • Venue:
  • AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
  • Year:
  • 2005

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Abstract

Recently, Fourier and cosine discrete transformations have been proposed for textual document ranking. The advantage of the methods is that rather than using only the count of a frequency term within document, the spatial information about presence of the term is considered. Here, further improvement of this novel approach is proposed. It is based on fuzzy evaluation of the position of words within the document.