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首页> 外文期刊>Journal of the American Society for Information Science and Technology >Is Exploratory Search Different? A Comparison of Information Search Behavior for Exploratory and Lookup Tasks
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Is Exploratory Search Different? A Comparison of Information Search Behavior for Exploratory and Lookup Tasks

机译:探索性搜索是否不同?探索性任务和查找任务的信息搜索行为比较

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摘要

Exploratory search is an increasingly important activity yet challenging for users. Although there exists an ample amount of research into understanding exploration, most of the major information retrieval (IR) systems do not provide tailored and adaptive support for such tasks. One reason is the lack of empirical knowledge on how to distinguish exploratory and lookup search behaviors in IR systems. The goal of this article is to investigate how to separate the 2 types of tasks in an IR system using easily measurable behaviors. In this article, we first review characteristics of exploratory search behavior. We then report on a controlled study of 6 search tasks with 3 exploratory-comparison, knowledge acquisition, planning-and 3 lookup tasks-fact-finding, navigational, question answering. The results are encouraging, showing that IR systems can distinguish the 2 search categories in the course of a search session, the most distinctive indicators that characterize exploratory search behaviors are query length, maximum scroll depth, and task completion time. However, 2 tasks are borderline and exhibit mixed characteristics. We assess the applicability of this finding by reporting on several classification experiments. Our results have valuable implications for designing tailored and adaptive IR systems.
机译:探索性搜索是一项日益重要的活动,但对用户却具有挑战性。尽管对理解探索有大量研究,但是大多数主要的信息检索(IR)系统并未为此类任务提供量身定制的自适应支持。原因之一是缺乏关于如何区分IR系统中探索性和查找性搜索行为的经验知识。本文的目的是研究如何使用易于测量的行为在IR系统中分离两种类型的任务。在本文中,我们首先回顾探索性搜索行为的特征。然后,我们报告了对6个搜索任务的对照研究,其中包括3个探索性比较,知识获取,计划和3个查找任务-实况调查,导航,问题解答。结果令人鼓舞,表明IR系统可以在搜索会话过程中区分两种搜索类别,最能说明探索性搜索行为的指标是查询长度,最大滚动深度和任务完成时间。但是,有2个任务处于临界点,并且表现出混合特征。我们通过报告几个分类实验来评估这一发现的适用性。我们的结果对于设计量身定制的自适应红外系统具有重要的意义。

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    Helsinki Institute for Information Technology HIIT, Department of Computer Science, University of Helsinki, Helsinki, Finland;

    Helsinki Institute for Information Technology HIIT, Department of Computer Science, University of Helsinki, Helsinki, Finland;

    Helsinki Institute for Information Technology HIIT, Department of Computer Science, University of Helsinki, Helsinki, Finland;

    Department of Communications and Networking, Aalto University, School of Electrical Engineering, Espoo, Finland;

    Max Planck Institute for Informatics and Saarland University, Saarbruecken, Germany;

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