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Understanding science and technology information users through transaction log analysis

机译：通过交易日志分析了解科技信息用户

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Purpose: This study seeks to provide insight into user interaction with a web-based information system of science and technology, as extending the large-scale research of search queries. Ultimately, this study aims to gain knowledge of user behavior in order to improve the IR system for the users. Design/methodology/approach: The paper quantitatively analyzed queries submitted to a web-based IR system in science and technology. The data were collected in a full one-year period beginning on Friday, 1 January 2010 through on Friday, 31 December 2010. More than 7,240,000 queries and 20,700,000 records were quantitatively analyzed in this period for this study. Findings: In general, queries themselves tend to be short and simple (1.4 terms) for the web-based IR system in science and technology. This indicates that users tend to invest a minimum of effort (cognitive and physical) and time in structuring their information needs to look for information on the system. However, user sessions on the IR system are longer (8.2 queries) than on web search engines. Most search sessions last less than 30 minutes with a mean of 24 minutes and 15 seconds, a minimum of one second, a maximum of ten hours, and a mode of ten seconds. Regarding the topic trends in science and technology, Life Science ranked first in 2010. Environment ranked first and Life Science, 11th in 2009. Originality/value: The authors have presented a study which has characterized users' searching behaviors of an information system in science and technology over a full one-year period, and suggested improvement issues in user interface and search functionality for the system. From this recent exploratory analysis, the authors believe that the user behavioral characteristics are valuable in monitoring the patterns and trends in use of an information system in the field of science and technology.
机译：目的：随着扩展对搜索查询的大规模研究，本研究旨在深入了解用户与基于Web的科学技术信息系统之间的交互。最终，本研究旨在获得用户行为的知识，以便为用户改进IR系统。设计/方法/方法：本文定量分析了提交给基于Web的科学技术领域IR系统的查询。从2010年1月1日星期五到2010年12月31日星期五，是一个完整的一年期间的数据收集。在此期间，本研究定量分析了7,240,000条查询和20,700,000条记录。结果：通常，对于基于Web的科学和技术领域的IR系统，查询本身往往很简短（1.4项）。这表明用户倾向于花费最少的精力（认知和体力）和时间来构造他们的信息，以寻找系统上的信息。但是，IR系统上的用户会话（8.2个查询）比Web搜索引擎上的用户会话更长。大多数搜索会话持续不到30分钟，平均24分钟15秒，最少一秒钟，最多十小时，并且模式为十秒钟。在科学和技术的主题趋势方面，生命科学在2010年排名第一。环境科学在2009年排名第一，生命科学在2009年排名第11。原创性/价值：作者提出了一项研究，该研究描述了用户在科学信息系统中的搜索行为和整个一年的技术，并提出了系统的用户界面和搜索功能方面的改进问题。从最近的探索性分析中，作者认为，用户行为特征对于监视科学技术领域中信息系统的使用模式和趋势非常有价值。

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