基于大数据的课程思政教学资源推荐系统研究

Research on the Recommendation System of Curriculum Ideological and Political Teaching Resources Based on Big Data

为解决基于知识图谱的推荐系统在实际应用中存在服务器响应时间长、用户对系统推荐结果偏好度低等问题,开展基于大数据的课程思政教学资源推荐系统研究。在硬件部分,设计底层物理主机选型以及数据库服务器选型等;在软件部分,对基于大数据的课程思政教学资源读取与搜索进行设计。对比实验表明:设计的推荐系统在实际应用中,能够为用户提供更高精度和更快速的推荐服务。

In order to solve the problem of long server response time and low user preference for system recommendation results in practical applications of recommendation systems based on knowledge graphs, a research on curriculum ideological and political teaching resources recommendation system based on big data has been carried out. In the hardware part, the selection of underlying physical host and database server are designed;In the software part, the reading and search of curriculum ideological and political teaching resources and Resource Recommendation Based on big data are designed. Comparative experiments show that the designed recommendation system can provide users with higher-precision and faster recommendation services in practical applications.