基于模糊渐进包容的红外模型的不同解释

L. Ughetto, V. Claveau
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引用次数: 4

摘要

近年来,人们提出了一种基于渐进式包含测度的理论模糊红外系统。在该模型中,从模糊关系的划分出发,通过模糊暗示对文档中查询的逐渐包含进行建模。在之前的论文中,我们已经证明,在某些假设下,该模型可以被视为向量空间模型。本文还研究了基于渐进式夹杂物的模糊红外模型的其他解释。结果表明,模糊模型可以解释为IR的语言模型。与IR的逻辑模型的链接也被召回。更一般地说,本文讨论了这些模型之间的联系,从我们的模糊模型的角度来看。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Different interpretations of fuzzy gradual-inclusion-based IR models
Recently, a theoretical fuzzy IR system, based on gradual inclusion measures, has been proposed [1]. In this model, derived from the division of fuzzy relations, the gradual inclusion of a query in a document is modeled by a fuzzy implication. In previous papers, we have shown that, under some assumptions, this model can be seen as a Vector Space Model. This paper also studies other interpretations of our fuzzy IR models based on gradual inclusions. It is shown that the fuzzy models can be interpreted as language models for IR. The links with logical models to IR are also recalled. More generally, this paper discusses the links between these models, shown from the point of view of our fuzzy models.
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