DeGRe: Dense-supervised Generative Reranking for Recommendation

Chaotian Song, Jingyao Zhang, Chenghao Chen +6

In multi-stage recommender systems, reranking optimizes overall utility by capturing intra-list contextual dependencies, yet its central challenge lies in exploring optimal sequenc…