1. Exploring the landscape of recommender systems evaluation: Practices and perspectives;Bauer C.;ACM Trans. Recomm. Syst.,2024
2. Offline recommender system evaluation: Challenges and new directions;Castells P.;AI Magazine,2022
3. Cheng, H.-T., Koc, L., Harmsen, J., Shaked, T., Chandra, T., Aradhye, H., Anderson, G., Corrado, G., Chai, W., Ispir, M., Anil, R., Haque, Z., Hong, L., Jain, V., Liu, X., and Shah, H. 2016. Wide & deep learning for recommender systems. In Proceedings of the 1st Workshop on Deep Learning for Recommender Systems. DLRS 2016. ACM, New York, NY, USA, 7--10.
4. Dacrema M. F. Cremonesi P. and Jannach D. 2019. Are we really making much progress? A worrying analysis of recent neural recommendation approaches. In RecSys. ACM 101--109.
5. Deldjoo Y. He Z. McAuley J. Korikov A. Sanner S. Ramisa A. Vidal R. Sathiamoorthy M. Kasirzadeh A. and Milano S. 2024. A review of modern recommender systems using generative models (gen-recsys). 10.48550/arxiv.2404.00579