基于大数据的图书馆个性化推送系统研究

Research on Personalized Push System of Library Based on Big Data

介绍了图书馆开展个性化信息服务的现状,通过对图书馆大数据的特点和基于网络的推送技术进行探索,将大数据分析技术和信息推送技术引入到图书馆读者信息服务中,构建个性化信息推送系统模型,分析图书馆读者的行为轨迹路线,预测读者的信息需求,并通过邮件、网页等方式推送给读者,节约了读者的信息获取时间,提高了图书馆信息服务的效率,为图书馆个性化的信息服务提供思路。

This article introduces the present situation of library carrying out personalized information service for readers,through exploring the characteristic of the big data of library and the push teehnology based on the internet, bringing big data analysis techniques and information push teehnology to the readers＇ information service of the library, builds the personalized information push system model, analyzes the readers＇ behavior trace route, forecasts the readers＇ information demand, sends this information to readers through the mail or web pages, reduces the time of readers＇ information acquisition, improves the efficiency of library information service, in order to provide new thought for the future research of library personalized information service.