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基于多维度推荐的智慧在线学习系统
引用本文:吴冉,黄超,卢盛祺.基于多维度推荐的智慧在线学习系统[J].计算机系统应用,2015,24(12):88-92.
作者姓名:吴冉  黄超  卢盛祺
作者单位:复旦大学软件学院, 上海 200000,复旦大学软件学院, 上海 200000,复旦大学软件学院, 上海 200000;上海财经大学信息管理与工程学院, 上海 200433
摘    要:针对目前在线学习系统中存在的不足,探讨如何有效地运用数据挖掘技术建立智慧的在线学习系统.从大量的用户数据中挖掘出关联关系,用以提供全面个性化、定制化的学习过程序列.利用数据挖掘着重发现用户与课程之间、课程与课程之间、用户与用户间的关联,形成一个多维度的网络.利用多维度推荐为用户推荐有价值的课程.实验表明多维度推荐具有良好的准确性和良好的用户体验.

关 键 词:智慧在线学习系统  数据挖掘  多维度网络  多维度推荐  扩散激活
收稿时间:4/3/2015 12:00:00 AM
修稿时间:2015/5/28 0:00:00

Intelligent E-Learning System Based on Multi-dimensional Recommendation
WU Ran,HUANG Chao and LU Sheng-Qi.Intelligent E-Learning System Based on Multi-dimensional Recommendation[J].Computer Systems& Applications,2015,24(12):88-92.
Authors:WU Ran  HUANG Chao and LU Sheng-Qi
Affiliation:School of Software, Fudan University, Shanghai 200000, China,School of Software, Fudan University, Shanghai 200000, China and School of Software, Fudan University, Shanghai 200000, China;School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai 200433, China
Abstract:Aiming at the shortage in the present e-learning systems, how to establish an intelligent e-learning system effectively using data mining is discussed. Associations are extracted from mass of user data in order to provide a comprehensive personalized, customized learning sequence. Associations between Users & Courses, Courses & Courses, Users & Users are mined using data mining, and a multi-dimensional network is built on that basis. Multi-dimensional recommendation is utilized to recommend useful courses to users. Experiments show that multi-dimensional recommendation has a high precision and provides a good experience to users.
Keywords:intelligent e-learning system  data mining  multi-dimensional network  multi-dimensional recommendation  spreading activation
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