Abstract
This paper describes a diversity featured retrieval system which is built for the task of ImageCLEFPhoto 2008. Two existing tools are used: Solr and Carrot2. We have experimented with different settings of the system to see how the performance changes. The results suggest that the system can indeed increase diversity of the retrieved results, without sacrificing too much of the precision.
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Apache lucene project, http://lucene.apache.org (Visited 23/07/08)
Apache solr project, http://lucene.apache.org/solr/index.html (Visited 23/07/08)
Carrot2 project, http://project.carrot2.org/ (Visited 23/07/08)
Arni, T., Clough, P., Sanderson, M., Grubinger, M.: Overview of the ImageCLEFphoto 2008 photographic retrieval task. In: Peters, C., et al. (eds.) CLEF 2008. LNCS, vol. 5706, pp. 500–511. Springer, Heidelberg (2009)
Osinski, S., Stefanowski, J., Weiss, D.: Lingo: Search results clustering algorithm based on singular value decomposition. In: Proceedings of the International Conference on Intelligent Information Systems, Zakopane, Poland, pp. 359–368 (2004)
Zhai, C.X., Cohen, W.W., Lafferty, J.: Beyond independent relevance: methods and evaluation metrics for subtopic retrieval. In: Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval, Toronto, Canada, pp. 10–17 (2003)
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© 2009 Springer-Verlag Berlin Heidelberg
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Tang, J., Arni, T., Sanderson, M., Clough, P. (2009). Building a Diversity Featured Search System by Fusing Existing Tools. 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_68
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DOI: https://doi.org/10.1007/978-3-642-04447-2_68
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04446-5
Online ISBN: 978-3-642-04447-2
eBook Packages: Computer ScienceComputer Science (R0)