摘要
本文提出了一种基于深度学习的智能推荐策略,旨在通过深入分析用户行为数据和多媒体内容特征,构建更加精准的用户画像和资源语义理解,从而实现对学习资源的个性化推荐。这种策略的运用不仅可以大幅提高学习资源的利用效率,还能促进学习者的持续学习和知识深化,为个性化学习提供强有力的支持。
This article proposes an intelligent recommendation strategy based on deep learning,aiming to construct more accurate user profiles and semantic understanding of resources through in-depth analysis of user behavior data and multimedia content features,thereby achieving personalized recommendation of learning resources.The application of this strategy not only can improve the utilization efficiency of learning resources significantly,but also can promote continuous learning and knowledge deepening for learners,providing strong support for personalized learning.
作者
刘丽
LIU Li(School of Information Engineering,Lianyungang Technical College,Lianyungang Jiangsu 222001,China)
出处
《信息与电脑》
2024年第10期178-180,共3页
Information & Computer
关键词
数据驱动
深度学习
多媒体学习资源
data-driven
deep learning
multimedia learning resources
