| 混合算法用于学习资源的自动推荐 |
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| 引用本文： | 吴彦文,黄珍.混合算法用于学习资源的自动推荐[J].计算机应用与软件,2008,25(12). |
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| 作者姓名： | 吴彦文 黄珍 |
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| 作者单位： | 华中师范大学信息技术系,湖北,武汉,430079 |
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| 摘 要： | 提出一种基于决策树和BP网络的混合算法。采用决策树挖掘学生初始学习能力的行为模式以及应用BP神经网络算法评价用户的学习程度，以学习者对资源的掌握程度形成个性化的学习模式，并自动地对其将要学习的后继知识进行预测以及合理推荐。理论分析和实验结果都表明，该算法具有显著的推荐能力。
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| 关 键 词： | 个性化推荐 BP网络 决策树 |
USING HYBRID ALGORITHM FOR AUTOMATIC RECOMMENDATION OF STUDY RESOURCES |
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| Wu Yanwen,Huang Zhen.USING HYBRID ALGORITHM FOR AUTOMATIC RECOMMENDATION OF STUDY RESOURCES[J].Computer Applications and Software,2008,25(12). |
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| Authors: | Wu Yanwen Huang Zhen |
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| Affiliation: | Wu Yanwen Huang Zhen(Department of Information Technology,Huazhong Normal University,Wuhan 430079,Hubei,China) |
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| Abstract: | A Hybrid Algorithm is presented based on decision tree and BP neural network.It applies decision tree to mining the behaviour pattern of initial learning capability of students as well as applies BP neural network to evaluating users' study progress,then forms personalized study pattern according to the mastering degree of resources of the students,and finally predicts and recommends reasonably the subsequent course to be studied automatically.The theoretical analysis and experimental results all show that ... |
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| Keywords: | Personalized recommendation BP neural network Decision tree |
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