摘要
采用Visual Studio 2010与Sql Server2008开发的基于B/S架构的图书馆个性化推荐系统,能够对用户需求采用个性化定制的方式来进行,并通过数据挖掘技术认真分析读者的年龄、借阅记录等方式来发现其潜在的需求,主动地向他们提供可能感兴趣的书籍。本文简要概述了该系统的现状、所要解决的问题及系统实现过程中采用的关键技术。
Studio Visual 2010 and Server2008 Sql development of the B/S based on the framework of the library personalized recommendation system, the user needs to use personalized custom way to carry out, and through the data mining technology to analyze the reader＇s age, loan records and other ways to find their potential needs, to provide them with an active interest in the service. This paper gives a brief overview of the current situation of the system, the problems to be solved and the key technologies used in the process of implementation.
出处
《新媒体研究》
2015年第13期15-16,共2页
New Media Research
基金
江苏省现代教育技术研究2014年度技术应用课题(2014-R-30115)
苏州健雄职业技术学院2013年青年科研基金项目(课题编号:2013QNJJ41)
关键词
个性化
推荐系统
数据挖掘
Personalization
recommendation system
data mining
