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Investigating Automated Assistance and Implicit Feedback for Searching Systems

机译:调查用于搜索系统的自动援助和隐式反馈

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Information retrieval systems offering personalized automated assistance have the potential to improve the searching process. There has been much work in this area for several years on a variety of systems. However, there has been little empirical evaluation of automated assistance to determine if it is of real benefit for searchers. We report the results of empirical evaluation investigate how searchers use implicit feedback and automated assistance during the searching process. Results from the empirical evaluation indicate that searchers typically use multiple implicit feedback actions, usually bookmark -copy. The most commonly utilized automated assistance was for query refinement, notable the use of the thesaurus. We discuss the implications for Web systems and future research.
机译:信息检索系统提供个性化自动化辅助有可能改善搜索过程。在各种系统中,这一领域有很多工作。但是,对自动援助几乎没有实证评估,以确定它是否对搜索者的实际利益。我们报告了实证评估结果调查搜索者在搜索过程中如何使用隐含的反馈和自动化帮助。经验评估结果表明,搜索者通常使用多个隐式反馈操作,通常是书签-copy。最常用的自动化援助是用于查询细化,值得注意的使用词库。我们讨论对Web系统和未来研究的影响。

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