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LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking., , , , and . CoRR, (2023)Temporal deep learning framework for retinopathy prediction in patients with type 1 diabetes., , , , , , , and . Artif. Intell. Medicine, (2022)Optimized deep learning-based multimodal method for irregular medical timestamped data. (Méthode multimodale optimisée basée sur l'apprentissage profond pour les données médicales temporelles irrégulières).. Polytechnic Institute of Paris, Palaiseau, France, (2022)Training and Deploying Multi-Stage Recommender Systems., , , and . RecSys, page 706-707. ACM, (2022)Transformers with multi-modal features and post-fusion context for e-commerce session-based recommendation., , , , and . CoRR, (2021)Accelerating recommender system training 15x with RAPIDS., , , , , and . RecSys Challenge, page 8:1-8:5. ACM, (2019)Synthetic Data and Simulators for Recommendation Systems: Current State and Future Directions., , , and . CoRR, (2021)Reducing the Friction for Building Recommender Systems with Merlin., , , , and . KDD, page 4816-4817. ACM, (2022)End-to-End Session-Based Recommendation on GPU., , , and . RecSys, page 831-833. ACM, (2021)Building and Deploying a Multi-Stage Recommender System with Merlin., , , , and . RecSys, page 632-635. ACM, (2022)