33 citations · 39 across the 9 of their papers we have counts for
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cs.IR2025
Efficient Large-Scale Cross-Domain Sequential Recommendation with Dynamic State Representations
Manuel V. Loureiro, Steven Derby, Aleksei Medvedev +3
Recently, autoregressive recommendation models (ARMs), such as Meta's HSTU model, have emerged as a major breakthrough over traditional Deep Learning Recommendation Models (DLRMs),…
cs.IR2025
Universal Reusability in Recommender Systems: The Case for Dataset- and Task-Independent Frameworks
Tri Kurniawan Wijaya, Xinyang Shao, Gonzalo Fiz Pontiveros +1
Recommender systems are pivotal in delivering personalized experiences across industries, yet their adoption and scalability remain hindered by the need for extensive dataset- and…