Efficient Personalized Reranking with Semi-Autoregressive Generation and Online Knowledge Distillation

Kai Cheng, Hao Wang, Wei Guo +4

Generative models offer a promising paradigm for the final stage reranking in multi-stage recommender systems, with the ability to capture inter-item dependencies within reranked l…