Abstract
This paper focuses on the problem of ranking documents for Geographic Information Retrieval. It aims to demonstrate that by using some query-related example texts it is possible to improve the final ranking of the retrieved documents. Experimental results indicated that our approach could improve the MAP of some sets of retrieved documents using only two example texts.
This work was done under partial support of CONACyT (scholarship 165545), SNI and INAOE.
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References
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Villatoro-Tello, E., Montes-y-Gómez, M., Villaseñor-Pineda, L. (2009). A Ranking Approach Based on Example Texts for Geographic Information Retrieval. In: Peters, C., et al. Evaluating Systems for Multilingual and Multimodal Information Access. CLEF 2008. Lecture Notes in Computer Science, vol 5706. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04447-2_115
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DOI: https://doi.org/10.1007/978-3-642-04447-2_115
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04446-5
Online ISBN: 978-3-642-04447-2
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