基于用户大数据的学习资源推荐算法研究

Research on learning resource recommendation algorithm based on user big data

作为神经网络的一个重要分支,深度学习具有无监督学习的特点,其研究成果可以在一定程度上为学习者提供个性化、精准化的教育服务。通过对深度学习相关理论的梳理,文章采用文献调研、系统分析等方法对深度学习与基于用户大数据的学习资源推荐问题展开研究,并在此基础上构建个体化的学习资源推荐模型,旨在为相关领域的研究人员提供参考。

As an important branch of neural network,deep learning has the characteristics of unsupervised learning,and its research results can provide personalized and accurate education services for learners to a certain extent.Through sorting out the relevant theories of deep learning,this paper uses literature research,system analysis and other methods to study the deep learning and learning resource recommendation based on user big data,and on this basis,builds an individualized learning resource recommendation model,aiming to provide reference for researchers in relevant fields.