Summary
IQBE has been shown as a promising technique to assist the users in the query formulation process. In this framework, queries are automatically derived from sets of documents provided by them. However, the different proposals found in the specialized literature are usually validated in non realistic information retrieval environments. In this work, we design several experimental setups to create real-like retrieval environments and validate the applicability of a previously proposed multiobjective evolutionary IQBE technique for fuzzy queries on them.
This work was supported by the Spanish Ministerio de Ciencia y Tecnología under projects TIC2003-07977 and TIC2003-00877, including FEDER fundings.
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Cordón, O., Herrera-Viedma, E., Luque, M., Moya, F., Zarco, C. (2005). A Realistic Information Retrieval Environment to Validate a Multiobjective GA-P Algorithm for Learning Fuzzy Queries. In: Hoffmann, F., Köppen, M., Klawonn, F., Roy, R. (eds) Soft Computing: Methodologies and Applications. Advances in Soft Computing, vol 32. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32400-3_23
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DOI: https://doi.org/10.1007/3-540-32400-3_23
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