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A test of genetic algorithms in relevance feedback

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Publication:1862393
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DOI10.1016/S0306-4573(01)00061-9zbMath1027.68148OpenAlexW2133127829WikidataQ58932102 ScholiaQ58932102MaRDI QIDQ1862393

Cristina López-Pujalte, Félix de Moya Anegón, Vincente P. Guerrero Bote

Publication date: 19 March 2003

Published in: Information Processing and Management (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0306-4573(01)00061-9


zbMATH Keywords

information retrievalgenetic algorithmsrelevance feedbacktest collections


Mathematics Subject Classification ID

Nonnumerical algorithms (68W05) Learning and adaptive systems in artificial intelligence (68T05)


Related Items

Improving metaheuristics convergence properties in inductive query by example using two strategies for reducing the search space ⋮ A GA-based query optimization method for web information retrieval ⋮ An application of the FIS-CRM model to the FISS metasearcher: Using fuzzy synonymy and fuzzy generality for representing concepts in documents. ⋮ A review on the application of evolutionary computation to information retrieval.


Uses Software

  • Genocop


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