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Precision and Recall: An Ontological Perspective

机译:精度和召回率:本体论的观点

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There is a traditional narrative within information studies regarding precision and recall measures. Precision and recall have been the most commonly used retrieval metrics and are the basis for more complicated and accurate information retrieval evaluations. Relevance, which is the criterion by which both recall and precision are judged, is subject to user interpretation and is context dependent. Although the determination of precision is straightforward, important ambiguities are involved when considering recall. Search evaluation metrics can be parsed into structural components. The interaction of the component parts can be clarified by the application of ontological distinctions. Possibly relevant items not retrieved are most usefully viewed as conceptually dependent parts. Positioned as the denominator of the recall measure, these parts function analogically and are supplemental in character. Although difficult to accurately determine, the recall denominator performs a useful role in the assessment of indexed data structures and other collection types.
机译:在信息研究中,有一种关于精度和召回措施的传统叙述。精度和召回率是最常用的检索指标,并且是进行更复杂和准确的信息检索评估的基础。关联性是判断召回率和准确性的标准,它取决于用户的解释并且与上下文有关。尽管精确度的确定很简单,但是在考虑召回时会涉及到重要的歧义。搜索评估指标可以解析为结构组件。组成部分之间的相互作用可以通过应用本体区别来阐明。可能未检索到的相关项目最有用地视为概念上相关的部分。这些零件被定位为召回措施的分母,具有类似的功能,并具有补充性。尽管很难准确确定,但是召回分母在评估索引数据结构和其他集合类型中起着有用的作用。

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