【摘要】 为满足用户对资源检索越来越高的要求,基于深度学习的在线推荐系统,研发基于神经网络的评分预测模型。该模型在词嵌入和文本卷积网络的基础上融合了深度学习模型,可以挖掘出用户隐藏的兴趣特征。实验研究结果证明,该在线网络学习服务平台不仅能够有效满足高校学生的多种多样个性化学习需求,还能提高师生学习工作效率。更多还原

【Abstract】 With the development of online learning systems,users require resource retrieval abilities to be improved greatly.This paper proposes a novel online recommendation system based on deep learning,which can implement the main functions of online learning,online programming and online communication.In particular,this paper develops a rating prediction model based on neural network,which integrates deep learning model on the basis of word embedding and text convolution network,and it can mine the hidden interest features of users.The experimental results fully show that the proposed platform can not only effectively satisfy the various personalized learning requirements of college students,but also improve the learning efficiency of teachers and students.更多还原