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首页> 外文期刊>Journal of the American Society for Information Science >Rethinking Online Monitoring Methods for Information Retrieval Systems: From Search Product to Search Process
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Rethinking Online Monitoring Methods for Information Retrieval Systems: From Search Product to Search Process

机译：重新思考信息检索系统的在线监视方法：从搜索产品到搜索过程

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摘要

Searching information retrieval systems is a highly interactive, iterative process that cannot be understood simply by comparing the output of a search session (the "search product") to a query stated in advance. In this article, we examine evaluation goals and methods for studying information retrieval behavior, drawing examples from our own research and that of others. We limit our review to research that employs online monitoring, also known as transaction log analysis. Online monitoring is one of few methods that can capture detailed data on the search process at a reasonable cost; these data can be used to build quantitative models or to support qualitative interpretations of quantitative results. Monitoring is a data collection technique rather than a research design, and can be employed in experimental or field studies, whether alone or combined with other data collection methods. Based on the research questions of interest, the researcher must determine what variables to collect from each data source, which to treat as independent variables to manipulate, and which to treat as dependent variables to observe effects. Studies of searching behavior often treat search task and searcher characteristics as independent variables and may manipulate other independent variables specific to the research questions addressed. Search outcomes, time, and search paths frequently are treated as dependent variables. We discuss each of these sets of variables, illustrating them with sample results from the literature and from our own research. Our examples are drawn from the Science Library Catalog project, a 7-year study of children's searching behavior on an experimental retrieval system. We close with a brief discussion of the implications of these results for the design of information retrieval systems.
机译：搜索信息检索系统是高度交互的迭代过程，无法简单地通过将搜索会话（“搜索产品”）的输出与预先说明的查询进行比较来理解。在本文中，我们将研究评估信息检索行为的目标和方法，并从我们自己的研究和其他研究中得出一些例子。我们的审查仅限于采用在线监控的研究，也称为交易日志分析。在线监视是可以以合理的成本捕获搜索过程中详细数据的几种方法之一；这些数据可用于建立定量模型或支持定量结果的定性解释。监视是一种数据收集技术，而不是研究设计，并且可以单独或与其他数据收集方法结合使用于实验或现场研究中。基于感兴趣的研究问题，研究人员必须确定从每个数据源收集哪些变量，将哪些变量视为要操作的自变量以及哪些变量作为要观察效果的因变量。对搜索行为的研究通常将搜索任务和搜索者特征视为自变量，并且可以操纵针对所研究问题的其他自变量。搜索结果，时间和搜索路径经常被视为因变量。我们讨论了每组变量，并用文献和我们自己研究的样本结果说明了它们。我们的示例摘自科学图书馆目录项目，该项目为期7年，通过实验性检索系统研究儿童的搜索行为。最后，我们简要讨论这些结果对信息检索系统设计的影响。

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