Cun Mu

Towards More Relevant Product Search Ranking Via Large Language Models: An Empirical Study

2024 · arXiv (Cornell University)

Training Learning-to-Rank models for e-commerce product search ranking can be challenging due to the lack of a gold standard of ranking relevance. In this paper, we decompose ranking relevance into content-based and engagement-based aspects, and …