摘要
为了提高新时代网络教育服务的质量与效果,推动网络教育服务产业的良性发展,基于深度学习算法研究了一种自适应移动学习服务智能推荐方法。首先分析自适应移动学习服务智能推荐方法的基本架构,其次探讨移动学习数据信息的采集与处理,最后建立基于深度学习的智能推荐模型,并进行测试与分析。实验结果表明,该方法具有高效性与实时性,能够满足实际项目对运行速度与推荐性能的基本需求。
In order to improve the quality and effect of online education services in the new era and promote the virtuous circle development of online education service industry,an adaptive mobile learning service intelligent recommendation method based on deep learning algorithm is studied.Firstly,it analyzes the basic architecture of the intelligent recommendation method of adaptive mobile learning service,then discusses the collection and processing of mobile learning data information,and finally establishes the intelligent recommendation model based on deep learning,and tests and analyzes it.The experimental results show that the method is efficient and real-time,and can meet the basic requirements of actual projects for running speed and recommendation performance.
作者
李学威
孙滨
LI Xuewei;SUN Bin(College of Information and Engineering,Zhoukou Vocational and Technical College,Zhoukou Henan 466000,China;School of Information Engineering,Zhengzhou University of Industrial Technology,Zhengzhou Henan 451150,China)
出处
《信息与电脑》
2023年第3期254-256,共3页
Information & Computer
基金
河南省高等学校重点科研项目计划支持(项目编号:23B520036)
河南省科技厅软科学支持项目(项目编号:222400410228)
河南省科技厅科技攻关支持项目(项目编号:222102210159)。
关键词
深度学习算法
自适应
移动学习服务平台
智能推荐
deep learning algorithm
adaptive
mobile learning service platform
intelligent recommendation
