Why is the recall rate of IP lower than L2 for IVFPQ ? #3572
shiwanghua
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It depends on the data distribution. But indeed it is typical that IP is harder to index than L2. This is because the quantizers are trained with k-means that guarantees to minimize the quantization error only for squared L2. |
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But I used HNSWFlatIP as the k-means quantizers for IVF train and PQ train. |
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Why is the recall rate of IP lower than L2 for IVFPQ ?
lower about 5~30% for top1 and top10
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