Intelligent Recommendation System for Campus Courses Based on Neural Networks
With the popularization of online course selection and online education,course recommendation has become an important research topic.This article proposes an intelligent recommendation system for campus courses based on deep confidence networks.The system uses One-Hot coding to construct course profiles,uses multiple classification coding to construct user profiles,and uses deep confidence networks to output the degree of matching between users and courses.The experimental results show that the accuracy rate,recall rate and F1 value of the system have reached a good level.
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