摘要
[目的/意义]为准确发现科研用户需求并预测其发展趋势,实现图书馆科研服务的个性化定制与推送。[方法/过程]通过科研用户小数据与图书馆个性化推送服务契合性分析,利用科研用户小数据决策支持层和图书馆个性化科研服务推送层构建基于科研用户小数据的图书馆个性化科研服务模式并提出应注意的问题。[结果/结论]结果表明,科研用户小数据能够准确体现科研需求和行为特征,为图书馆个性化科研服务决策制定和模式构建提供支撑作用。
[ Purpose/significance] This paper aims to find out the needs of scientific research users and predict the trend of development, as well as to realize the personalized customization and push of library scientific research service. [ Method/process ] Through the correspondence between small data of scientific research users and the personalized push service of library, the paper constructs a personalized scientific research service model based on the decision support layer of small data and push layer of person- alized scientific research service. The possible problems during the process are proposed. [ Result/conclusion ] Results show that small data of scientific research users can accurately reflect the scientific research needs and behavior characteristics, and they can provide support for library decision-making and model construction.
出处
《情报理论与实践》
CSSCI
北大核心
2017年第10期85-90,95,共7页
Information Studies:Theory & Application
基金
黑龙江省哲学社会科学研究规划2016年度项目"‘互联网+’背景下数字图书馆知识推送服务模式的构建研究"的成果
项目编号:16TQB04
成果形式:论文集
研究报告
关键词
大数据
科研用户
小数据
图书馆
个性化服务
big data
scientific research user
small data
library
personalized service
