1. Sequential recommendation with dual side neighbor-based collaborative relation modeling;Qin,2020
2. Contextual and sequential user embeddings for large-scale music recommendation;Hansen,2020
3. Enhancing long term fairness in recommendations with variational autoencoders;Borges,2019
4. On mitigating popularity bias in recommendations via variational autoencoders;Borges,2021
5. Group Recommender Systems: Combining Individual Models;Masthoff,2011