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RankUp tackles representation collapse in deep recommender systems, unlocking significant GMV gains in real-world deployments by strategically boosting the effective rank of token representations.
Unifying feature interaction and sequential recommendation models can lead to "Sequential Collapse Propagation," but TokenFormer's novel attention and interaction mechanisms solve it.
