摘要
现有的图书馆个性化推送服务还处于被动阶段,将数据挖掘技术整合入信息推送服务前端流程,可以改进图书馆的个性化信息推送服务。此系统能挖掘出用户的潜在需求,同时结合手机短消息的信息推送方式,主动推送用户需要的信息。通过用户个性化需求模型的建立、用户需求信息的匹配,和短信服务平台,数据挖掘可以与手机短信的信息推送模式整合,共同促进图书馆信息服务。
The present personalized push service of library is still in a passive stage. It can improve library personalized information services by integrating the data mining technology to the information push services. This system can push the messages which the users need positively through exploring the potential demand of them as well as integrating mobile phone short message system , Through the creation of personalized users＇ demands model, the matching of their demands and platform of SMS service, data mining can integrate with mobile phones information push mode, which can improve the library information services mutually.
出处
《图书馆学研究》
CSSCI
2008年第4期49-53,共5页
Research on Library Science
关键词
图书馆
手机短信
数据挖掘
个性化服务
library mobile phone short message data mining personalized service
