UJM at INEX 2008: Pre-impacting of Tags Weights

  • Authors:
  • Mathias Géry;Christine Largeron;Franck Thollard

  • Affiliations:
  • Université de Lyon, Saint-Étienne, France F-42023 and CNRS UMR 5516, Laboratoire Hubert Curien, Université de Saint-Étienne Jean Monnet, France F-42023;Université de Lyon, Saint-Étienne, France F-42023 and CNRS UMR 5516, Laboratoire Hubert Curien, Université de Saint-Étienne Jean Monnet, France F-42023;Université de Lyon, Saint-Étienne, France F-42023 and CNRS UMR 5516, Laboratoire Hubert Curien, Université de Saint-Étienne Jean Monnet, France F-42023

  • Venue:
  • Advances in Focused Retrieval
  • Year:
  • 2009

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Abstract

This paper addresses the impact of structure on terms weighting function in the context of focused Information Retrieval (IR). Our model considers a certain kind of structural information: tags that represent logical structure (title, section, paragraph, etc.) and tags related to formatting (bold, italic, center, etc.). We take into account the tags influence by estimating the probability that a tag distinguishes relevant terms. This weight is integrated in the terms weighting function. Experiments on a large collection during INEX 2008 IR competition showed improvements for focused retrieval.