Geo-Textual Relevance Ranking to Improve a Text-Based Retrieval for Geographic Queries

  • José M. Perea-Ortega
  • Miguel A. García-Cumbreras
  • L. Alfonso Ureña-López
  • Manuel García-Vega
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6716)

Abstract

Geographic Information Retrieval is an active and growing research area that focuses on the retrieval of textual documents according to a geographic criteria of relevance. In this work, we propose a reranking function for these systems that combines the retrieval status value calculated by the information retrieval engine and the geographical similarity between the document and the query. The obtained results show that the proposed ranking function always outperforms text-based baseline approaches.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • José M. Perea-Ortega
    • 1
  • Miguel A. García-Cumbreras
    • 1
  • L. Alfonso Ureña-López
    • 1
  • Manuel García-Vega
    • 1
  1. 1.SINAI research group. Computer Science DepartmentUniversity of JaénSpain

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