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A Study on Exploratory Search Behaviors Based on Log Mining
Received date: 2014-04-16
Revised date: 2014-05-03
Online published: 2014-06-05
To study exploratory search behaviors, this paper designs one question-answer search task and two exploratory search tasks of different complexity, and divides the participants into two groups according to their search capacity and educational background. Based on screen recorder and browser log, it compares the characteristics of exploratory search behaviors that the two groups show in three search tasks from several different aspects, including search action, web browsing, search terms, etc.. The results indicate that: participants focus on the central theme and search relevant aspects in the meantime; with the more complex search tasks, the deeper and more open search behaviors; participants with better search ability, search more efficiently with bigger depth and width.
Key words： exploratory search; search behavior; log mining; browser log; screen recorder
Wei Li , Zhang Yunqiu . A Study on Exploratory Search Behaviors Based on Log Mining[J]. Library and Information Service, 2014 , 58(11) : 21 -28 . DOI: 10.13266/j.issn.0252-3116.2014.11.003
[1] 中国互联网络信息中心. 第33次中国互联网发展状况统计报告[R/OL].[2014-04-15]. http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/ssbg/201401/P020140127366465515288.pdf.
[2] 张云秋,安文秀,于双成.探索式搜索中用户认知的实验研究[J].情报理论与实践,2013,36(6):73-77.
[3] 张云秋,安文秀,冯佳.探索式信息搜索行为研究[J].图书情报工作,2012,56(14):67-72.
[4] Bates M J. The design of browsing and berrypicking:Techniques for the online search interface[J].Online Review,1989,13(5):407-424.
[5] Bystrom K, Jarvelin K. Task complexity affects information seeking and use[J]. Information Processing and Management,1995,31(2):191-213.
[6] Marchionini G.Exploratory search:From finding to understanding[J].Communications of the ACM,2006,49(4):41-46.
[7] White R W,Roth R A.Exploratory search: Beyond the query-response paradigm[M].California:Morgan & Claypool,2009:31-33.
[8] Silverstein C, Henzinger M, Marais H, et al. Analysis of a very large Web search engine query log[J]. SIGIR Forum,1998,33(1):6-12.
[9] Joachims T,Granka L,Pan Bing, et al. Accurately interpreting clickthrough data as implicit feedback[C]//Proceedings of the SIGIR.New York:ACM Press, 2005:154-161.
[10] 余慧佳,刘奕群,张敏,等.基于大规模日志分析的网络搜索引擎用户行为研究[J].中文信息学报,2007,21(1):109-114.
[11] Downey D,Dumais S,Lieblin D, et al.Understanding the relationship between searchers,queries and information goals[C]//Proceedings of the CIKM.New York:ACM Press,2008:449-458.
[12] 岑荣伟,刘奕群,张敏,等.基于日志挖掘的搜索引擎用户行为分析[J].中文信息学报,2010,24(3):49-54.
[13] 葛蓉.利用网络日志分析提高搜索引擎的检准率[J].情报科学,2004,22(10):1250-1253.
[14] 赖茂生,屈鹏.大学生信息检索能力调查分析[J].大学图书馆学报,2010(1):96-104.
[15] 王馨.网络环境下大学生信息素养现状及培养研究[D].上海:同济大学,2007.
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