From Click Logs to Search Ranking: Building an Offline Popularity Trainer with Python and Typesense

Most learning-to-rank examples end when the model has been trained. A production search system still has several harder questions to answer: Which user events are safe to treat as training examples? How should result position affect a click? How do we build features across catalogs with different schemas? How do we prevent document leakage between...