Overell, Simon; Rae, Adam and Rüger, Stefan
(2009).
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| DOI (Digital Object Identifier) Link: | http://dx.doi.org/doi:10.1007/978-3-642-04447-2_109 |
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| Google Scholar: | Look up in Google Scholar |
Abstract
In this paper we provide some analysis of data fusion techniques employed at GeoCLEF 2008 to merge textual and geographic relevance. These methods are compared to our own experiments, where using our GIR system, Forostar, we show that an aggressive filter-based data fusion method can outperform a more sophisticated penalisation method.
| Item Type: | Conference Item |
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| Copyright Holders: | 2009 Springer-Verlag |
| ISSN: | 0302-9743 |
| Extra Information: | ISBN-13 978-3-642-04446-5
Pages 838-842 |
| Academic Unit/Department: | Knowledge Media Institute |
| Interdisciplinary Research Centre: | Centre for Research in Computing (CRC) |
| Item ID: | 28212 |
| Depositing User: | Stefan Rüger |
| Date Deposited: | 31 Oct 2011 09:29 |
| Last Modified: | 25 Oct 2012 09:58 |
| URI: | http://oro.open.ac.uk/id/eprint/28212 |
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