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SequenceO1 achieves efficient ultra-long sequence modeling by compressing user histories while maintaining high performance, revolutionizing recommendation systems at scale.
By unifying feature interaction and sequence modeling in a single Transformer backbone, MixFormer eliminates the co-scaling trade-off that plagues fragmented recommender systems and boosts user engagement in real-world deployments.
