在线教育平台资源分类管理及推荐研究

Research on Classification Management and Recommendation of Online Education Platform Resources

受新冠肺炎疫情影响,教育部提出了停课不停学的要求,远程在线教育成为当下教学培训的主要方式,在线教育平台的核心在于教育资源。本文通过研究教育平台资源的分类管理,基于课件资源协同过滤算法,实现针对用户的个性偏好资源推荐。

Influenced by COVID-19,The Ministry of education proposed"Suspending classes without stopping learning", distance online education has become the main way of teaching and training. The core of online education platform is educational resources. This paper studies the classification management of education platform resources, based on the collaborative filtering algorithm of courseware resources, realizes the personalized preference Resource Recommendation for users.