E—Learning系统的个性化推荐方法研究

以E—Learning系统建设为背景，通过采用文献查找、调查研究等方法探讨个性化推荐理论的内涵，并结合当前建设中的E—Learning系统，分析了目前常用的个性化推荐策略，并进行介绍比较和分析以后，总结经验，以应用于E—Learning系统的建设。提出适合于E—learning系统建设的个性化推荐策略：采用关联规则推荐策略和协同过滤技术，基于WEB技术建立一个虚拟学习系统，利用推荐算法，结合用户需求，将学习的资源、学习活动和学习策略进行整合，向用户推荐完整的满足用户需求的E—Learning学习方案。

Research on Recommendation Method of E - learning Systems

Based on the background of the construction of E - learning systems, personalized recommenda- tion and its related theories are discussed according to the formers. E - Learning systems, that combined with the current construction commonly used in personalized recommendation strategy, and introduced comparison and a- nalysis, sum up experience, to apply to the construction of the E -Learning system. Personalized recommenda- tion strategy suitable for the construction of E - learning system ： association rules recommend strategies and col- laborative filtering technologies, to create a virtual learning system based on WEB technologies, the use of the recommendation algorithm, combined with users needs, learning resources, learning activities and learning poli- cy integration, referring users to complete E - Learning learning programs to meet user needs.