Training a generative re-ranker on relative scores of neighboring item lists, plus a sampling-based non-autoregressive decoder, improves CTR and GMV in Meituan's food delivery recommender.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.IR 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
NLGR: Utilizing Neighbor Lists for Generative Rerank in Personalized Recommendation Systems
Training a generative re-ranker on relative scores of neighboring item lists, plus a sampling-based non-autoregressive decoder, improves CTR and GMV in Meituan's food delivery recommender.