摘要
大数据时代背景下高校图书馆的大数据采集、集成和数据挖掘方法,为高校图书馆优化文献储藏和开展以读者需求为导向的服务提供了新模式和新思路。文章通过定性分析法,探索以读者需求为导向、以大数据为支撑的藏书采购新模式。这种基于读者显性及隐性阅读需求,建立以读者数据及用户行为为支撑、以数据为导向的藏书采购模式,使现有图书采访工作更加数据化、系统化。
The innovative mode of data collection,integration and data mining in the era of big data have provided a new pattern for achieving abundant literature storage and offering reader-driven service simultaneously.This paper investigates a new reader-driven library acquisition pattern in support of big data technology by qualitative analysis method. Built up upon both reader data and consumer behavior and led by data,the captioned acquisition pattern values both reader's visible and hidden needs. Such data-driven college library acquisition and management have provided insights for literature storage and reader-driven service.
出处
《大学图书情报学刊》
2017年第6期27-30,共4页
Journal of Academic Library and Information Science
关键词
大数据
藏书采购
读者数据
用户行为
数据分析
big data analysis
library acquisition
reader data
consumer behavior