E—Learning系统的个性化推荐方法研究 |
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引用本文: | 石宜金,马瑞英,贾志洋. E—Learning系统的个性化推荐方法研究[J]. 山东电子, 2012, 0(2): 51-54 |
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作者姓名: | 石宜金 马瑞英 贾志洋 |
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作者单位: | 云南大学旅游文化学院信息科学与技术系,674100 |
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基金项目: | 基金项目:云南省教育厅科学研究基金资助项目(2011y345) |
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摘 要: | 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。
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关 键 词: | 数字化学习 个性化推荐 推荐系统 协同过滤 关联规则 |
Research on Recommendation Method of E - learning Systems |
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Affiliation: | SHI Yi -fin MA Rui -ying JIA Zhi -yang |
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Abstract: | 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. |
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Keywords: | E -learning Personalized recommendation Recommendation systems Collaborative filtering Association rules |
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