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作 者:袁红 Yuan Hong(School of Economics and Management,Nantong University,Nantong 226019,China)
机构地区:[1]南通大学经济与管理学院
出 处:《现代情报》2020年第2期44-51,共8页Journal of Modern Information
基 金:国家社会科学基金一般项目“用户探索式搜索行为的意图—策略关联模式研究”(项目编号:17BTQ087)
摘 要:[目的/意义]搜索策略是搜索行为的规划,是搜索过程的核心,一直是搜索行为研究的重要课题。探索用户搜索策略的运用及其转换的规律,对于IR系统的功能优化及提升用户信息搜索效率具有重要意义。[方法/过程]研究确定了来自4个搜索主题的8个搜索任务,招募了30名参与者,开展了搜索实验,并对搜索行为视频加以编码,在统计不同搜索策略使用频次的基础上,构建了常见的用户搜索策略转换模式。[结果/结论]访问和评估策略是信息搜索的常见策略,而修改查询语句、学习等搜索策略运用较少。向前访问→评估单个项目、评估搜索结果→向前访问为用户信息搜索最常见的策略转换模式,而向前访问→探索等策略转换发生概率极低。此外,用户在搜索的不同阶段的策略运用及策略转换呈现较大差异,这为IR系统设计提供了详尽有用的指导。[Purpose/Significance]Search strategy is the planning of search behavior,the core of search process,and it has always been an important topic in search behavior research.Exploring the application of user search strategy and its transformation rules has important guiding significance for the function optimization of IR system and the improvement of user information search efficiency.[Method/Process]8 search tasks from 4 search topics were identified,30 participants were enrolled,and search experiments were carried out to encode users search behavior videos.Common transformation models of search strategies were constructed on basis of the statistics of the frequency of different search strategies.[Result/Conclusion]Access and Evaluation are the common search strategies,while Modify Query,Learning are seldom used.Access Forward→Evaluation Individual Project,Evaluation Results→Access Forward are the most common strategy transformation models,while the probability of strategy transformation models such as Access Forward→Exploration are very low.In addition,the user s strategy application and strategy transformation in different design search stages would also show great differences,which provided detailed and useful guidance for the IR system.
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