Design of online Civics teaching course recommendation method based on decision tree classification idea
With the rapid development of education forms,online Civics teaching has gradually become a common education mode.In order to improve the efficiency of online Civics education,this study improves the ID3 algorithm in decision tree classification algorithm by introducing information gain rate and importance parameters.The improved ID3 algorithm is then used to construct a civic education resource classification model,and a civic education course recommendation system is constructed based on the model.The experimental results show that the classification model of Civic Education under the improved ID3 algorithm can achieve 99.5%classification accuracy and 0.4%loss rate.In the application of the system,the satisfaction rate of the functional modules of the system is above 90%.Therefore,the Civic Education course recommendation system proposed in this study has good application value.
国家科技期刊平台
NSTL
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