摘要
随着大数据技术在图书馆的深入应用,基于数据驱动的图书馆用户行为研究逐渐兴起。本文首先基于该主题下的国内外期刊文献统计,回顾了这个研究领域的过去与现在几十年间的发展趋势。通过对国内外研究文献关键词的对比分析,展现了当前图书馆用户行为研究的主要研究内容和研究热点。从概念界定、研究内容、研究方法和实践应用几个方面阐述了数据驱动下图书馆用户行为研究的基础概念与理论,并对当前的一些研究文献的主要内容和方法进行了梳理和归纳,力求展现当前研究的全貌。同时结合现有的研究文献,概括了数据驱动下图书馆用户行为研究的几个新趋势:用户行为研究范式转换、研究粒度细化、数据多源融合。并从数据隐私与保护、数据存储与整合、图书馆数据产品化、与图书馆现有服务的整合等几个角度探讨了未来面临的研究挑战等。
With the further development and application of big data technologies in libraries, data-driven research on library user behaviors is gradually emerging. According to the statistical analysis results of the domestic and foreign research literatures in this domain, this paper reviews the development trends and changes during the past decades. Through the social network analysis on keywords appearing in these research literatures, this paper reveals the current research contents and hot topics in this area. We demonstrate the basic concepts and theories of data-driven research on library user behaviors from four aspects: concept definitions, research contents, research methods and practical applications. Moreover, we summarize the main contents and study methods of existing research, tring to present a current overview of this area. In the meantime, several new trends in this domain are summarized in this paper, including research paradigm shifting, research granularity refinement and multi-source data fusion. We also discuss the direction and challenges of future development from the aspects of data privacy and protection, data storage and integration, model selection and evaluation, data product development, and their impact on library services.
作者
阮光册
任金玥
涂世文
Ruan Guangce;Ren Jinyue;Tu Shiwen(Department of Information Management,Faculy of Economics and Management,East China Normal University)
出处
《图书馆杂志》
CSSCI
北大核心
2019年第12期28-37,共10页
Library Journal
