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Learning to Rank and the Shift from Hand-Tuned Scoring to Trained Ranking Models
Learning to rank reframed search ranking as supervised machine learning, allowing systems to combine many relevance signals using models trained on preference judgments rather than fixed hand-tuned formulas.
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