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Fuzzy aggregation for results merging in information retrieval: An application of Choquet Integral

机译:信息检索中的结果融合模糊汇总:Choquet Integral的应用

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Peer-to-Peer Information Retrieval System (P2PIR) is a system that can query multiple information retrieval systems and merges ranked results list into a single result of documents. Classical methods are generally based on linear combination schemes. A major shortcoming of the classical methods is that there is no defined way to study dependencies and interactions existing among relevance criteria. In this paper, we propose a result merging method based on the Choquet Integral, called Choquet-Based Merging (CBM). The experimental results obtained on the test collection provided by TREC Contextual Suggestion track shows the effectiveness of our proposal.
机译:点对点信息检索系统(P2PIR)是一种可以查询多个信息检索系统的系统,并将排名结果列表合并到文档的单个结果中。古典方法通常基于线性组合方案。古典方法的主要缺点是,没有明确的方法来研究相关性标准存在的依赖性和互动。在本文中,我们提出了一种基于Choquet积分的结果合并方法,称为基于Chource的合并(CBM)。在TREC上下文建议轨道提供的测试收集上获得的实验结果表明了我们提案的有效性。

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