基于知识图谱的计算机类专业课程资源自动推荐方法

Automatic recommendation method of computer professional course resourcesbased on knowledge graph

针对新用户或资源缺乏历史数据导致推荐不准确的问题,文章研究了基于知识图谱的计算机专业课程资源推荐法。首先,文章分析学习者偏好,构建个性化兴趣模型;然后,整合课程资源,构建详尽知识图谱;最后,通过兴趣匹配技术,精准对接学习者兴趣与图谱资源,实现自动化、个性化的推荐。实验结果表明,该方法推荐的计算机类专业课程资源,用户偏好度提升至95%,可精准推送资源。

A knowledge graph based computer course resource recommendation method was studied to address the issue of inaccurate recommendations due to a lack of historical data for new users or resources.Firstly,the paper analyzes learner preferences and construct a personalized interest model.Subsequently,it integrates course resources and construct a detailed knowledge graph.Finally,through interest matching technology,learners’interests and graph resources can be accurately matched to achieve automated and personalized recommendations.The experimental results show that the method recommends computer related professional course resources with a user preference rate of 95%,and can accurately push resources.