可操作IR应用的评估:通用性和自动化

Melanie Imhof, Martin Braschler, P. Hansen, Stefan Rietberger
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引用次数: 0

摘要

黑盒信息检索(IR)应用程序评估允许从业者衡量其IR应用程序的质量。而不是评估特定的组件,例如单独的搜索引擎,一个完整的IR应用程序,包括用户的视角,被评估。评估方法的设计是为了适用于实际的IR应用。黑盒评估方法可以打包成评估和监控工具,使其可用于行业利益相关者。该工具应该引导从业者通过评估过程,并维护手动和自动测试的测试结果。本文表明,尽管红外应用的多样性很高,但该方法是可推广的。自动化测试的挑战在于模拟需要脑力劳动的任务,以及处理同一概念的不同可视化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation for operational IR applications: generalizability and automation
Black box information retrieval (IR) application evaluation allows practitioners to measure the quality of their IR application. Instead of evaluating specific components, e.g. solely the search engine, a complete IR application, including the user's perspective, is evaluated. The evaluation methodology is designed to be applicable to operational IR applications. The black box evaluation methodology could be packaged into an evaluation and monitoring tool, making it usable for industry stakeholders. The tool should lead practitioners through the evaluation process and maintain the test results for the manual and automatic tests. This paper shows that the methodology is generalizable, even though the diversity of IR applications is high. The challenges in automating tests are the simulation of tasks that require intellectual effort and the handling of different visualizations of the same concept.
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