Framework Model of Personalized Learning Recommendation System Based on Deep Learning Under the Background of Big Data

Abstract

In the context of big data, information overload has emerged in various resources, especially the various learning resources available today. In order to effectively improve the recommendation accuracy of learning resources under the background of big data, firstly, the existing research on the recommendation system is analyzed. Then, based on the deep learning model, the deep learning model framework and the personalized learning recommendation framework are constructed. How to effectively obtain user and learning resource information. Finally, through the proposed framework model, the accuracy of personalized learning recommendations can be effectively improved.