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Adapting Information Retrieval Systems To User Queries

机译：使信息检索系统适应用户查询

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摘要

Users enter queries that are short as well as long. The aim of this work is to evaluate techniques that can enable information retrieval (IR) systems to automatically adapt to perform better on such queries. By adaptation we refer to (1) modifications to the queries via user interaction, and (2) detecting that the original query is not a good candidate for modification. We show that the former has the potential to improve mean average precision (MAP) of long and short queries by 40% and 30% respectively, and that simple user interaction can help towards this goal. We observed that after inspecting the options presented to them, users frequently did not select any. We present techniques in this paper to determine beforehand the utility of user interaction to avoid this waste of time and effort. We show that our techniques can provide IR systems with the ability to detect and avoid interaction for unpromising queries without a significant drop in overall performance.
机译：用户输入的查询短而长。这项工作的目的是评估可以使信息检索（IR）系统自动适应在此类查询上执行得更好的技术。通过适应，我们指的是（1）通过用户交互对查询的修改，以及（2）检测到原始查询不是修改的好候选者。我们表明，前者有可能将长查询和短查询的平均平均精度（MAP）分别提高40％和30％，并且简单的用户交互可以帮助实现此目标。我们观察到，检查提供给他们的选项后，用户经常没有选择任何选项。我们在本文中介绍一些技术，以预先确定用户交互的效用，从而避免浪费时间和精力。我们证明了我们的技术可以为IR系统提供检测并避免不希望的查询发生交互的能力，而不会显着降低整体性能。

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