摘要
随着移动阅读技术、自媒体技术、大数据技术的快速发展,数字阅读已逐渐成为当下最受欢迎的阅读方式。主要从如何构建多元化、个性化、共享化、互动性强的数字阅读平台,以及如何利用大数据技术和用户画像技术,生成"读者画像",为读者用户提供个性化服务等方面进行研究,从而有助于提高高校图书馆的资源利用率。
With the rapid development of mobile reading, we-media and big data technologies, digital reading has gradually become the most popular reading method. The paper mainly focuses on how to build a digital reading platform that is diversified, personalized, shared and interactive, how to use the big data technology and user portrait technology to generate "reader portraits", and how to provide personalized services for readers. This will help improve the resource utilization of university library.
作者
陈月娟
CHEN Yue-juan(Library of Neusoft Institute Guangdong,Foshan 528225,China)
出处
《计算机工程与科学》
CSCD
北大核心
2019年第S01期245-248,共4页
Computer Engineering & Science
关键词
大数据
数字阅读平台
用户画像
高校图书馆
big data
digital reading platform
user portrait
university library
