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

机译:信息检索中结果合并的模糊聚合:Choquet积分的应用

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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:对等信息检索系统(P2PIR)是可以查询多个信息检索系统并将排名结果列表合并为单个文档结果的系统。经典方法通常基于线性组合方案。经典方法的主要缺点是,没有确定的方法来研究相关性标准之间存在的依存关系和交互作用。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Choquet的合并(CBM)。在TREC上下文建议跟踪提供的测试集合上获得的实验结果表明了我们建议的有效性。

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