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In engineering practice, recall (the proportion of the returned results that are true nearest neighbors) is usually used to measure the loss introduced by ANN approximate search.
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11/3/2026
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UnverifiedRecall is defined as the proportion of the returned Top-K results that truly belong to the set of true nearest neighbors.70% similarUnverifiedANN trades a small amount of recall for order-of-magnitude speed improvements, and its core metric is recall@K.68% similarUnverifiedANN solutions trade a slight loss in accuracy for orders-of-magnitude improvements in retrieval speed, returning the most similar results in milliseconds even at scales of millions to billions of vectors.67% similarUnverifiedWhen evaluating the effectiveness of AI recommendations, downstream metrics such as return rate, average order value and repurchase rate are more worth watching going forward, rather than looking only at engagement rate.66% similarUnverified绝大多数常见损失函数都可以从最大似然估计推导出来64% similar
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