PM K-LightGCN: Optimizing for Accuracy and Popularity Match in Course Recommendation

Yiding Ran, Hengchang Hu, Min-Yen Kan. PM K-LightGCN: Optimizing for Accuracy and Popularity Match in Course Recommendation. In Himan Abdollahpouri, Shaghayegh Sahebi, Mehdi Elahi, Masoud Mansoury, Babak Loni, Zahra Nazari, Maria Dimakopoulou, editors, Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), Seattle, WA, USA, 18th-23rd September 2022. Volume 3268 of CEUR Workshop Proceedings, CEUR-WS.org, 2022. [doi]

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