首页> 外文会议>Online World Conference on Soft Computing: Methodologies and Applications(WSC); 20030929-1010; >A Realistic Information Retrieval Environment to Validate a Multiobjective GA-P Algorithm for Learning Fuzzy Queries
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A Realistic Information Retrieval Environment to Validate a Multiobjective GA-P Algorithm for Learning Fuzzy Queries

机译:现实的信息检索环境,用于验证用于学习模糊查询的多目标GA-P算法

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摘要

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.
机译:IQBE被证明是一种有前途的技术,可以帮助用户进行查询制定过程。在此框架中,查询是自动从其提供的文档集中派生的。但是,专业文献中发现的不同建议通常在非现实的信息检索环境中得到验证。在这项工作中,我们设计了几个实验设置来创建真实的检索环境,并验证先前提出的多目标进化IQBE技术对它们的模糊查询的适用性。

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