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.
['Yanwen Wu', 'Zhen Huang', 'Zhi-Qiang Gong']
Using Hybrid Algorithm for Automatic Recommendation Service