In e-commerce recommendation, effective re-ranking must jointly optimize multiple business objectives such as clicks, add-to-carts, and purchases. Existing methods typically employ either multiple per-objective generators combined with static fusion through handcrafted rules, or adopt non-autoregressive sequence genera...
Heng-Rui Zhang, Yi-Fan Gu, Wei Xu et al.· Proceedings of the 20th ACM...· 0 citations
In e-commerce recommendation, effective re-ranking must jointly optimize multiple business objectives such as clicks, add-to-carts, and purchases. Existing methods typically employ either multiple per-objective generators combined with static fusion through handcrafted rules, or adopt non-autoregressive sequence genera...
Heng-Rui Zhang, Yi-Fan Gu, Wei Xu et al.· Proceedings of the 20th ACM...· 0 citations
Results show that function-preserving conditional residuals add input-dependent capacity while preserving the Dense path and its optimization stability, and introduce PRIME (Plug-in Residual Input-conditioned Mixture of Experts), a Dense-anchored mixture of low-rank residual experts.
Heng Yao, Si-Yun Hou, Tian-Ying Liu et al.· 0 citations
SmartGR is proposed, a novel distillation framework that utilizes Hierarchy-Aware SID Distillation to transfer the teacher's modeling capability across the hierarchy and leverages Beam-Aware Ranking Distillation to distill the teacher's ranking preferences during beam search.
Ziheng Zhang, Yu Cui, Bohao Wang et al.· 0 citations
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