A ranking approach based on example texts for geographic information retrieval

Authors:
Esaú Villatoro-Tello;Manuel Montes-Y-Gómez;Luis Villaseñor-Pineda
Affiliations:
Language Technologies Group, Computer Science Department, National Institute of Astrophysics, Optics and Electronics, Mexico;Language Technologies Group, Computer Science Department, National Institute of Astrophysics, Optics and Electronics, Mexico;Language Technologies Group, Computer Science Department, National Institute of Astrophysics, Optics and Electronics, Mexico
Venue:
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Year:
2008

Citing 2
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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.