A literature review of implemented recommendation techniques used in Massive Open online Courses
作者：
Highlights：
• Systematic literature review of implemented recommender systems for MOOCs.
• Design of a classification framework to review recommender systems for MOOCs.
• Analysis of research trends on recommender systems for MOOCs.
• Identification of future areas for recommender systems in MOOCs.
• It serves the purpose of offering an up-to-date review of the field and showing its evolution trends.
摘要
•Systematic literature review of implemented recommender systems for MOOCs.•Design of a classification framework to review recommender systems for MOOCs.•Analysis of research trends on recommender systems for MOOCs.•Identification of future areas for recommender systems in MOOCs.•It serves the purpose of offering an up-to-date review of the field and showing its evolution trends.
论文关键词：Massive Open Online Courses (MOOCs),Recommender systems (RSs),Recommendation techniques,Evaluation techniques and classification framework
论文评审过程：Received 7 January 2021, Revised 5 July 2021, Accepted 16 September 2021, Available online 2 October 2021, Version of Record 7 October 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115926
