Improving Approximate Nearest Neighbor Search through Learned Adaptive Early Termination

SIGMOD/PODS '20: International Conference on Management of Data Portland OR USA June, 2020, pp. 2539-2554, 2020.

Cited by: 2|Bibtex|Views90|DOI:https://doi.org/10.1145/3318464.3380600
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Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

In applications ranging from image search to recommendation systems, the problem of identifying a set of "similar" real-valued vectors to a query vector plays a critical role. However, retrieving these vectors and computing the corresponding similarity scores from a large database is computationally challenging. Approximate nearest neighb...More

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