Optimizing Generative Ranking Relevance via Reinforcement Learning in Xiaohongshu Search

Ziyang Zeng, Heming Jing, Jindong Chen +11

Ranking relevance is a fundamental task in search engines, aiming to identify the items most relevant to a given user query. Traditional relevance models typically produce scalar s…