Andrea Schütt
ML/Search Engineer at Otto (otto.de), part of the internal “Team Jarvis.” Author of writing on learning to rank for e-commerce search.
Key Contributions
- LTR for E-commerce at Scale: Described Otto’s migration from manual ranking rules to LambdaMART as the product catalog grew via marketplace expansion. Key insights: labels must come from behavioral signals (not crowd-sourced); RankyMcRankFace + Solr LTR plugin for training and serving.