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7:32
YouTube
Professor Py: Information Retrieval with Python
Why BM25 defaults underperform, what k1,b + NDCG change
BM25 k1/b tuning, step-by-step: use an NDCG@3-driven loop to unbury the best matches and fix relevance. Learn to grid search k1 and b in Python, interpret TF vs length-normalization tradeoffs, and improve top-3 ranking quality. Minimal Python implementation of BM25, IDF, and NDCG@3—fast, interpretable, and production-friendly. #BM25 # ...
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