1. Alemi, A.A., Fischer, I., Dillon, J.V., Murphy, K.: Deep variational information bottleneck. arXiv preprint arXiv:1612.00410 (2016)
2. Cantador, I., Brusilovsky, P., Kuflik, T.: Second workshop on information heterogeneity and fusion in recommender systems (hetrec2011). In: Proceedings of the Fifth ACM Conference on Recommender Systems, pp. 387–388 (2011)
3. Chen, H., et al.: Generative adversarial framework for cold-start item recommendation. In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 2565–2571 (2022)
4. Dai, S., et al.: Poso: personalized cold start modules for large-scale recommender systems. arXiv preprint arXiv:2108.04690 (2021)
5. Finn, C., Abbeel, P., Levine, S.: Model-agnostic meta-learning for fast adaptation of deep networks. In: International Conference on Machine Learning, pp. 1126–1135. PMLR (2017)