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CHAMELEON: a deep learning meta-architecture for news recommender systems.

. RecSys, page 578-583. ACM, (2018)

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A Recommender System to tackle Enterprise Collaboration., and . RecSys, page 395-396. ACM, (2016)Training and Deploying Multi-Stage Recommender Systems., , , and . RecSys, page 706-707. ACM, (2022)Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG., , , , , and . CoRR, (2024)Reducing the Friction for Building Recommender Systems with Merlin., , , , and . KDD, page 4816-4817. ACM, (2022)Why Are Deep Learning Models Not Consistently Winning Recommender Systems Competitions Yet?: A Position Paper., , and . RecSys Challenge, page 44-49. ACM, (2020)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)Using Deep Learning to Win the Booking.com WSDM WebTour21 Challenge on Sequential Recommendations., , , , , , and . WebTour@WSDM, volume 2855 of CEUR Workshop Proceedings, page 22-28. CEUR-WS.org, (2021)Investigating the effects of incremental training on neural ranking models., , , , , , , , , and . RecSys, page 318-321. ACM, (2023)CHAMELEON: a deep learning meta-architecture for news recommender systems.. RecSys, page 578-583. ACM, (2018)