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Professor Py: Information Retrieval with Python
XGBoost LambdaMART for Search Ranking: Train an LTR Model in Python
Train an XGBoost LambdaMART ranker that combines BM25, embeddings, and click features to replace brittle manual boosts. Build a transparent Python pipeline to compute NDCG, train XGBRanker with query groups and early stopping, and rerank results to improve relevance. Example uses XGBoost (XGBRanker), BM25 scores, embedding similarity, click ...
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