一种融合知识图谱推理和强化学习的MOOC推荐方法和装置
本发明公开一种融合知识图谱推理和强化学习的MOOC推荐方法,包括:基于实体数据和关系构建知识图谱;基于三元组集通过训练TransH模型获取所述实体数据和所述关系的嵌入表示;通过优化PGPR模型获取推荐路径,所述推荐路径设有课程推荐的解释数据。
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