摘要
介绍了数据挖掘和个性化推荐服务所包含的内容,及网络教学系统体系结构的设计。分析了系统在挖掘用户偏好路径与发现用户的访问兴趣时所使用的改进Apriori算法。最后通过实验结果的分析说明在网络教学中应用个性化推荐算法可以完成因材施教的需求。
At first,this article introduced the content included in the Data Mining and Personalized Recommendation Service.Para continuer,it described the design of the Network Teaching system configuration.It deeply analyzed the improved Apriori Algorithm while mining the user’s hobby path and finding his visiting interests.At last,via testing and analyzing,Personalized Recommendation Algorithm can be applied to the network teaching system and reached the requirements of individualized teaching.
出处
《科技通报》
北大核心
2013年第4期127-129,共3页
Bulletin of Science and Technology
基金
河南省科技发展自然科学基础与前沿重点课题(112300410266)
关键词
数据挖掘
个性化推荐算法
个性化推荐服务
网络教学
data mining
personalized recommendation algorithm
personalized recommendation service
network teaching
