Stefana Serban
Data Science Lead for Search@eMAG, Stefana excels in leveraging machine learning techniques to refine relevance and user experience. Her data science expertise, coupled with a keen eye for detail, fosters rapid innovation cycles and adaptable and resilient strategies.
eMag
Session
06-10
10:40
20min
Synergy of Signals: Traffic Logs Meet LLM Labels
Stefana Serban
Discover how melding user-traffic signals with LLM-derived relevance labels can significantly improve learning to rank models. This talk unveils a novel approach to enhancing search relevance for query-product pairs, offering a glimpse into the future of e-commerce search technology.
Kesselhaus