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On using genetic algorithms for multimodal relevance optimization in information retrieval
2002
Journal of the American Society for Information Science and Technology
This paper presents a genetic relevance optimisation process performed in an information retrieval system. The process uses genetic techniques for solving multimodal problems (niching) and query reformulation techniques commonly used in information retrieval. The niching technique allows the process to reach different relevance regions of the document space. Query reformulation techniques represent domain knowledge integrated in the genetic operators structure in order to improve the
doi:10.1002/asi.10119
fatcat:3fqzqsbnnvafdb2o57ntiz7dpi