摘要
在大数据环境下,要想提高读者个性化阅读满意度和图书馆服务竞争力关键在于两点：一是以阅读模式和用户服务内容为依据,合理的、科学的分配资源,给读者提供效率高、质量好、节约成本及安全有保障的个性化服务。二是把握读者需求变化情况,及时的、合理的调整服务内容和方式,以便更好的满足不同读者的不同需求。本文先较为详细的阐述了基于大数据的图书馆的用户需求与特点,再着力探讨了图书馆大数据精准化推送服务面临的挑战,最后提出了基于大数据的图书馆个性化推送服务质量保障对策。
In the big data environment,in order to improve the satisfaction of library services and key competitiveness of personalized reading lies in two points： one is to read mode and user service content as the basis,a reasonable allocation of resources and scientific,to provide readers with high efficiency,good quality,cost saving and safety of personalized service.The two is to grasp the changes in the needs of readers,timely and reasonable adjustment of service content and methods,in order to better meet the different needs of different readers. This paper first expounds the user demand and the characteristics of big data based on the library,and then discusses the library data precision push service challenge,finally proposed the personalized data push service of Library Based on quality assurance measures.
作者
刘淑娟
LIU Shujuan(Baoji College of Arts and Sciences, Shanxi Baoji, 721016)
出处
《自动化与仪器仪表》
2018年第7期89-91,共3页
Automation & Instrumentation
基金
宝鸡文理学院重点科研项目:高校图书馆单元信息组织与精准化推送服务研究(ZK12115)
