Non-autoregressive Generative Models for Reranking Recommendation

Yuxin Ren, Qiya Yang, Yichun Wu +3

Contemporary recommendation systems are designed to meet users' needs by delivering tailored lists of items that align with their specific demands or interests. In a multi-stage re…