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. © 2009 Springer Berlin Heidelberg.
Cite
CITATION STYLE
Villatoro-Tello, E., Montes-Y-Gómez, M., & Villaseñor-Pineda, L. (2009). A ranking approach based on example texts for geographic information retrieval. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5706 LNCS, pp. 875–879). https://doi.org/10.1007/978-3-642-04447-2_115
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
