KDD

MixFormer: Co-Scaling Up Dense and Sequence in Industrial Recommenders

MixFormer: 在工业推荐系统中协同扩展稠密与序列

Xu Huang, Hao Zhang, Zhifang Fan, Yunwen Huang, Zhuoxing Wei, Zheng Chai, Jinan Ni, Yuchao Zheng, Qiwei Chen

AI总结 提出MixFormer统一Transformer架构，联合建模序列行为与特征交互，通过统一参数化实现稠密容量与序列长度的协同扩展，并引入用户-物品解耦策略提升工业实用性。

Comments Accepted by KDD 2026