大数据环境下基于读者决策的图书馆文献资源采购模型研究

A Study on PDA-Based Library Literature Resource Purchase Model in the Environment of Big Data

读者决策采购是指大数据时代以计算机网络技术为基础,以用户需求为中心,将用户的需求转化为量化指标,当需求达到阀值时,触发购买或短期借阅。文章介绍了读者决策采购的概念、国内外发展现状、工作流程以及存在的争议。为了提升PDA效果,作者设计了大数据环境下读者行为分析模型,通过该模型得到读者行为数据库。并以读者行为数据库与图书馆书目数据库作为数据处理层,构建了读者决策文献资源采购模型,阐述了这两个模型的实现过程。

Patron-driven acquisitions are based on the computer network technology in the age of big data, and the requirement of the users as the center. It changes the user＇s requirements into the quantitative indicators, triggering purchase or short-term borrowing when demand reaches the threshold. This paper introduces the concept of patron-driven acquisitions, the development at home and abroad, the work process and the controversy. In order to improve the effect of PDA, this paper designs the model of reader behavior analysis in the environment of big data, and the reader＇s behavior database is obtained by the model. This paper also builds the model of patron-driven acquisitions and expounds the realization process of these two models, and the reader＇s behavior database and the library bibliographic database are taken as the data processing layer.