【摘要】 阐述了读者行为大数据的概念,并以东北财经大学图书馆为例,总结了读者行为大数据分析的内容,并归纳了基于读者行为大数据可实现馆藏布局优化、精准化信息服务、科学决策电子资源采购、读者行为的智慧发现及提高图书馆决策效率等,指出目前读者行为大数据分析面临的问题。更多还原

【Abstract】 This paper elaborates the concept of readers’ behavior big data through literature analysis.Taking the library of Dongbei University of Finance and Economics as an example,it sums up the content of the big data analysis of the reader’s behavior,summarizes the big data analysis of readers’ behavior can realize collection layout optimization,accurate information services,scientific decision-making of electronic resources,the discovery of the wisdom of the reader’s behavior and improve the efficiency of the decision making of the library and so on.At the end of this paper,some problems of the big data analysis of readers’ behavior are put forward.更多还原