Xuefeng Luo

ICL-Bandit: Relevance Labeling in Advertisement Recommendation Systems via LLM

Measuring the relevance between user queries and advertisements is a critical task for advertisement (ad) recommendation systems, such as Microsoft Bing Ads and Google Ads. Traditionally, this requires expert data labeling, which is both costly and time-consuming. Recent advances have explored using