摘要
在信息保障性发展的背景下,人们主要通过移动设备获取信息,智能移动设备逐渐普及,我国加大了建设电信基础设施力度,4G网络普及,5G网络应用范围逐渐扩大,移动网络宽带加大,原本使用有线网络才能保证服务工作的开展,当前通过移动网络就能够进行相应服务,使得移动信息服务水平不断提升。这使得当前高校图书馆中学生用户的阅读行为产生变化,尽管图书馆有着优质、丰富的资源,如果不能创新服务模式,很难对用户进行良好信息服务。高校图书馆将面临如何向用户推送正确信息的问题,只有实现个性化服务才能够达到这一目标,而构建图书馆推荐系统可实现个性化服务。
In the context of the development of information security,people mainly obtain information through mobile devices,and intelligent mobile devices are becoming more and more popular.China has increased the construction of telecommunications infrastructure,popularized 4G network,gradually expanded the application scope of 5G network,and increased the bandwidth of mobile network.The original use of wired network can ensure the development of service work,At present,the corresponding services can be carried out through the mobile network,which makes the mobile information service level continuously improve.This makes the reading behavior of middle school students in the current university library change.Although the library has high-quality and rich resources,it is difficult to provide good information services to users if it can not innovate the service mode.University libraries will face the problem of how to push correct information to users.This goal can be achieved only by realizing personalized service,and the construction of Library recommendation system can realize personalized service.
作者
王月娥
WANG Yuee(Guangdong Lingnan Vocational and Technical College,Guangzhou Guangdong,510663,China)
出处
《文化创新比较研究》
2021年第35期165-168,共4页
Comparative Study of Cultural Innovation
基金
2019年广东省普通高校青年创新人才类项目(人文社科)《利用深度学习技术对高校图书馆图书自动推荐系统研究》(项目编号:2019GWQNCX038)。
关键词
高校图书馆
图书馆推荐系统
稀疏性问题
学生
阅读行为
University library
Library recommendation system
Sparsity problem
Students
Reading behavior