云平台中在线学习资源的智能推送模型设计研究

Research on the Design of Intelligent Push Model of Online Learning Resources in Cloud Platform

本文针对学生的个性化在线学习需求,基于部署在云平台中的海量学习资源提出了基于协同过滤算法的双维度学习资源智能推荐方案,以协同过滤算法为核心从用户相似度与课程相似度两个方面在云平台中发掘潜在的能够满足个性化学习需求的资源并向学生用户自动推送,有效提升云平台中学习资源的利用率。

Aiming at the individualized online learning needs of students,based on the massive learning resources deployed in the cloud platform,a two-dimensional intelligent recommendation scheme for learning resources based on collaborative filtering algorithm is proposed in the paper.With collaborative filtering algorithm as the core,potential resources that can meet personalized learning needs are explored in the cloud platform from two aspects of user similarity and course similarity and automatically pushed to students,effectively improving the utilization rate of learning resources in the cloud platform.