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NOVA reduces silent failures in recommender systems by over 13x while boosting performance metrics by up to 2.02% in online A/B testing.
Unifying feature interaction and sequential recommendation models can lead to "Sequential Collapse Propagation," but TokenFormer's novel attention and interaction mechanisms solve it.
