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Application of Aboutness to Functional Benchmarking in Information Retrieval

机译:本体在信息检索中的功能基准测试中的应用

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摘要

Experimental approaches are widely employed to benchmark the performance of an information retrieval (IR) system. Measurements in terms of recall and precision are computed as performance indicators. Although they are good at assessing the retrieval effectiveness of an IR system, they fail to explore deeper aspects such as its underlying functionality and explain why the system shows such performance. Recently, inductive (i.e., theoretical) evaluation of IR systems has been proposed to circumvent the controversies of the experimental methods.
机译:实验方法被广泛用于基准信息检索(IR)系统的性能。召回率和精确度方面的度量作为性能指标进行计算。尽管他们擅长评估IR系统的检索效果,但是他们无法深入探讨诸如其基本功能之类的方面,也无法解释为什么该系统显示出这种性能。近来,已经提出了对IR系统的归纳(即理论上)评估来规避实验方法的争议。

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