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Simulating Interactive Information Retrieval: SimIIR: A Framework for the Simulation of Interaction

机译:模拟交互式信息检索:SimIIR:用于交互模拟的框架

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Simulation provides a powerful and cost-eu000bective approachrnto explore and evaluate how interactions between a searcherrnand system inruence search behaviour and performance.rnWith a growing interest in simulation and an increasingrnnumber of papers using such an approach, there is a needrnfor a rexible framework for simulation. Thus, we presentrnSimIIR, an open-source toolkit for building and conductingrnInteractive Information Retrieval (IIR) experiments. Thernframework consists of a number of high level components,rnincluding the simulation, the searcher and the system, all ofrnwhich must be confgured. The SimIIR framework providesrna series of interchangeable components. Examples of theserncomponents include the querying strategies (how simulatedrnqueries are formulated) and stopping strategies (the depthrnto which a searcher will examine snippets and documents)rnthat a simulated searcher will employ. We have implementedrnvarious existing strategies so that they can be used by otherrnresearchers to not only replicate and reproduce past experiments,rnbut also create new experiments. This paper describesrnthe SimIIR framework and the diu000berent componentsrnthat can be confgured and extended as required.
机译:仿真提供了一种功能强大且成本合理的方法,以探索和评估搜索者与系统之间的交互如何影响搜索行为和性能。随着对仿真的兴趣日益增加,使用这种方法的论文数量越来越多,需要一种可恶的仿真框架。因此,我们介绍了SimIIR,这是一个用于构建和进行交互式信息检索(IIR)实验的开源工具包。框架由许多高级组件组成,包括仿真,搜索器和系统,所有这些都必须配置。 SimIIR框架提供了一系列可互换的组件。这些要素的示例包括模拟搜索者将采用的查询策略(如何制定模拟查询)和停止策略(搜索者将检查摘要和文档的深度)。我们已经实施了各种现有策略,以便其他研究人员不仅可以复制和重现过去的实验,还可以创建新的实验。本文描述了SimIIR框架和可以根据需要进行配置和扩展的各种组件。

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