KGAN: Knowledge Grouping Aggregation Network for course recommendation in MOOCs

作者：

Highlights：

• The characteristics of student interactions in MOOCs are systematically analyzed.

• An end-to-end recommendation model KGAN is proposed.

• KGAN introduces a more reasonable graph feature propagation method.

• The superiority and effectiveness of the algorithm are verified.

摘要

•The characteristics of student interactions in MOOCs are systematically analyzed.•An end-to-end recommendation model KGAN is proposed.•KGAN introduces a more reasonable graph feature propagation method.•The superiority and effectiveness of the algorithm are verified.

论文关键词：Recommender systems,Knowledge graph,MOOCs,Course recommendation

论文评审过程：Received 10 June 2022, Revised 25 July 2022, Accepted 30 July 2022, Available online 5 August 2022, Version of Record 26 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118344