Push Method of Chinese Online Education Personalized Course Content for Foreign Students

In order to improve the quality of Chinese online education personalized course content push service, the weighted information entropy is introduced to design and research the content push service of Chinese online education. Based on the interest preference of Chinese online learning of foreign students in colleges and universities in China, complete the construction of personalized portrait of foreign students in colleges and universities in China; extract features from the contents of personalized courses of Chinese online education; calculate the similarity between the contents and images of various courses by using weighted information entropy; and realize the push of the contents of personalized courses of Chinese online education of foreign students in colleges and universities in China by using collaborative filtering algorithm. Through comparative experiments, it is proved that this method can improve the classification and push precision of course content, shorten the execution time and recovery time.