【松鼠会】论文分享：《基于向量量化的最大内积搜索》- 戴新颜（香港中文大学博士）
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Xinyan DAI
xinyan.dai@outlook.com
DBSys Group@SUSTech
Husky Data Lab@CUHK
Quantization Based Maximum
Inner Product Search (MIPS)
Maximum Inner Product Search (MIPS)
Given a dataset containing 𝑛 items and , for a
query , find the item that satisfies
❑ Usually require the top-k items with the largest inner product
❑ Approximate results suffice in most cases and quality measured by recall
is the ground-truth top-k MIPS items and is the estimated top-k.
❑ Recall-item curve or recall-time curve as the main performance metric
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