Any recommendations for recently published papers about state-of-the-art recommendation models?

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Certainly, here are some recently published papers about state-of-the-art recommendation models: 1. "Neural Collaborative Filtering Revisited" by Xiangnan He et al. (2020): This paper proposes a new neural collaborative filtering approach that combines matrix factorization and multi-layer perceptron architectures to improve recommendation accuracy. 2. "BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer" by Pengjie Ren et al. (2019): This paper applies the BERT model, originally developed for natural language processing, to the task of sequential recommendation and achieves state-of-the-art performance on several datasets.