In information retrieval, fine-tuning algorithms to return the most relevant results first is known as retrieval optimization. It enhances search speed and accuracy by refining indexing, ranking, and query understanding. Businesses, developers, and data scientists benefit from faster, more precise search experiences, improving user satisfaction in e-commerce, knowledge bases, or AI systems.
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