This paper describes the University of Jaén system presented at ImagePhoto CLEF 2008. Previous systems used translation approaches and different information retrieval systems to obtain good results. The queries used are monolingual, so translation methods are not necessary. The new system uses the parameters that obtain the best results in the past. The novelty of our method consists of some filtered methods that are used to improve the results, with the cluster terms and its WordNet synonyms. The combination of different weighting functions (Okapi and Tfidf), the results obtained by the information retrieval systems (Lemur and Jirs), and the use or not of automatic feedback complete the experimentation. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
García-Cumbreras, M. A., Díaz-Galiano, M. C., Martín-Valdivia, M. T., & Ureña-López, L. A. (2009). University of jaén at ImagePhoto 2008: Filtering the results with the cluster term. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5706 LNCS, pp. 593–596). https://doi.org/10.1007/978-3-642-04447-2_73
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