%0 Journal Article
%T Recommendation system based on Web usage mining for personalized E-learning
基于Web使用挖掘的个性化学习推荐系统
%A TAO Jian-wen
%A YAO Qi-fu
%A
陶剑文
%A 姚奇富
%J 计算机应用
%D 2007
%I
%X To solve the problems of current E-learning recommendation systems by adopting multi-agent system(MAS),a new distributed intelligent recommendation system based on Web usage mining(WUM) was put forward integrating MAS with Web services.It can help learners find resource requested by dynamically generating personal link pages based on the user identification.By adopting least recently used(LRU) policy,the recommendation algorithm of the system was proposed including the global implementing algorithm,clustering algorithm,and suggestion algorithm.Real-time application and experiments show that it is feasible and effective.
%K Multi-Agent System(MAS)
%K personalization
%K recommendation system
%K Web usage mining
%K Web Services
多Agent系统
%K 个性化
%K 推荐系统
%K Web使用挖掘
%K Web服务
%K 使用挖掘
%K 个性化
%K 学习
%K 推荐系统
%K personalized
%K Web
%K usage
%K mining
%K based
%K system
%K 运行性能
%K 显示
%K 实时性能分析
%K 系统聚类算法
%K 推荐算法
%K 使用策略
%K 资源信息
%K 基于用户
%K 动态生成
%K 系统模型
%K 智能
%K 分布式
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD27430512C2A229820E871EE4&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=DF92D298D3FF1E6E&sid=B62D621C3785DBB4&eid=FF9809C79A59DC74&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=10