1. Adiyansjah, A.A.S.G., Suhartono, D.: Music recommender system based on genre using convolutional recurrent neural networks. Procedia Comput. Sci. 157, 99–109 (2019)
2. Arnold, A.N., Vairamuthu, S.: Music recommendation using collaborative filtering and deep learning. Int. J. Innov. Technol. Explor. Eng. (IJITEE) 8(7) (2019). ISSN: 2278-3075
3. Sánchez-Moreno, D., Zheng, Y., Moreno-García, M.N.: Time-aware music recommender systems: modeling the evolution of implicit user preferences and user listening habits in a collaborative filtering approach. Appl. Sci. 10(15), 5324–5356 (2020)
4. Ferwerda, B., Schedl, M.: Enhancing music recommender systems with personality information and emotional states: a proposal. CEUR Workshop Proc. 1181, 36–44 (2014)
5. Aurén, M., Bååw, A., Karlsson, T., Nilsson, L., Olzon, D.H., Shirmohammad, P.: Music recommendations based on real-time data. Chalmers University of Technology/Department of Computer Science and Engineering (Chalmers), 2018