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认知转向背景下用户相关性判断研究的方法论观察
引用本文:王健,王志强,刘茜,崔运鹏,赵华,王剑,满芮.认知转向背景下用户相关性判断研究的方法论观察[J].图书情报工作,2014,58(18):66-76.
作者姓名:王健  王志强  刘茜  崔运鹏  赵华  王剑  满芮
作者单位:1. 中国农业科学院农业信息研究所; 2. 中国科学院地理科学与资源研究所
基金项目:本文系国家社会科学基金项目“科学数据用户相关性标准与使用模式实证研究”(项目编号:14BTQ056)、国家自然科学基金项目“区域可持续发展模型集成与共享研究”(项目编号:41371536)与国家社会科学基金项目“大数据环境下的科技信息潜在语义挖掘技术优化与比较研究”(项目编号:14BTQ029)研究成果之一。
摘    要:调查1967-2013年期间与用户相关性判断研究相关的82篇文献,筛选其中55篇在研究方法上具有代表性者构成样本文献。通过分析发现:样本文献在方法论思想和具体研究方法上存在较多共性和规律性的观点与做法,并可在结构上组织为一个以相关性判断的情境依赖性、认知主因和真实情境设定中开展研究3项方法原则为核心,纵向上涵盖方法论思想、研究策略和具体研究方案设计等多个层次,横向上涉及样本选取、数据采集与分析策略制定等多个研究方案设计关键环节的参考性框架。认为信息查询与检索领域的认知观是该方法框架形成、发展和进一步演化的关键驱动因素,并据此分析该框架的未来发展。

关 键 词:用户相关性判断  研究方法  认知  信息检索  信息行为  
收稿时间:2014-07-09

A Methodological Survey on the Study of User Relevance Judgment in Context of Cognitive Turn
Wang Jian,Wang Zhiqiang,Liu Qian,Cui Yunpeng,Zhao Hua,Wang Jian,Man Rui.A Methodological Survey on the Study of User Relevance Judgment in Context of Cognitive Turn[J].Library and Information Service,2014,58(18):66-76.
Authors:Wang Jian  Wang Zhiqiang  Liu Qian  Cui Yunpeng  Zhao Hua  Wang Jian  Man Rui
Institution:1. Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081; 2. Institute of Geography Sciences and Natural Resources Research, Chinese Acaderny of Sciences, Beijing 100039
Abstract:The paper constructs a set of sample documents with 55 representative research documents from 82 published during 1967 to 2013. A survey on these sample documents shows that there are many common and regular ideas and operations among methodology thoughts and specific research methods, such methodological consensus form a reference methodological framework which 1) takes its core from three principles including situation dependency of user relevance judgment, cognitive main-factors of relevance judgment and operating research in real situation, 2) covers vertically the layers of methodology philosophy, research strategy and research planning, and 3) horizontally touches some key procedures of making a research plan such as sampling, data collecting and analyzing. The paper concludes that the cognitive view in the domain of information seeking and retrieval (ISR) is the main driver for the forming, developing and further evolving the framework. By the viewpoint the paper forecasts the future development of the framework.
Keywords:user relevance judgment  research methodology  cognition  information seeking  information behavior  
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