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ChethanPallempati / search-ranking-model

Built an end-to-end search ranking system that improves document relevance using LambdaMART on lexical and user-behavior features, outperforming a BM25-style baseline in offline NDCG@10 evaluation and packaged with an interactive Streamlit demo.

machine-learning learning-to-rank search-ranking lightg

Updated Apr 7, 2026
Python

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