基于混合算法的自动推荐服务

First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008) Pub Date : 2008-01-23 DOI:10.1109/WKDD.2008.142

Yanwen Wu, Zhen Huang, Zhiqiang Gong

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引用次数: 1

摘要

提出了一种基于决策树和BP网络的混合推荐算法，并将其应用于自动推荐服务中。我们利用决策树来挖掘学生初始学习能力的行为模式，并基于BP神经网络得到用户的学习状态。然后根据学生的身份形成个性化的学习模式。最后，为用户自动显示将要学习的课程。

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Using Hybrid Algorithm for Automatic Recommendation Service

A hybrid algorithm based on decision tree and BP network is presented in the paper, which is applied to Automatic Recommendation service. We apply decision tree to mine the behavior pattern of initial learning capability of students as well as get learning state of users based on BP neural network to. Then the personalized study pattern will be formed according to the status of students. Finally, for users which course will be studied is shown automatically.

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First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)

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