Recommended method of personalized teaching resources for computer majors based on deep learning
The conventional recommendation method is relatively simple,which leads to its poor recommendation effect.In order to solve this problem,based on the deep learning theory,the recommendation method of personalized teaching resources for computer major.This method first understands the learning habits,interest preferences,learning objectives and teaching progress,completes the recommendation requirement analysis and the generation of teaching resource recommendation labels.Then,based on deep learning theory,it constructs the teaching resource recommendation model,and completes the model training based on gradient descent algorithm to realize the accurate recommendation of teaching resource.Finally,it applies comparative experiment to verify the advanced nature of the proposed method.The test results show that the average recommendation frequency of the design method is higher,higher than 20 times,which is better than the comparison method,and the recommendation effect can better meet the actual needs.
deep learningcomputer majorteaching resourcesrecommendation methods
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