Abstract
In order to further improve the online learning experience and effect of courses for learners, this study, with the help of deep learning neural network algorithm, based on the characteristics of deep learning algorithm such as good processing performance and strong data adaptability, carries out research for online course students' preferences, learner characteristics and other fields, and constructs a course resource recommendation technical algorithm based on deep learning. Through algorithm experiments, it is found that the performance of NCF model is improved by 57.7% compared with that of CF model in the algorithm with RMSE as evaluation index. The performance under MAE evaluation index is improved by 58.5%, indicating that the integration of the deep learning neural network algorithm can better improve the online course recommendation effect and enhance students' online learning experience.
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