1. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions;Adomavicius;IEEE Trans. Knowl. Data Eng.,2005
2. A formal analysis of recommendation quality of adversarially-trained recommenders;Anelli,2021
3. Wasserstein generative adversarial networks;Arjovsky,2017
4. Variational autoencoders for top-k recommendation with implicit feedback;Askari,2021
5. Cfgan: A generic collaborative filtering framework based on generative adversarial networks;Chae,2018