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- W2963576795 abstract "We consider the problem of designing locality sensitive hashes (LSH) for inner product similarity, and of the power of asymmetric hashes in this context. Shrivastava and Li argue that there is no symmetric LSH for the problem and propose an asymmetric LSH based on different mappings for query and database points. However, we show there does exist a simple symmetric LSH that enjoys stronger guarantees and better empirical performance than the asymmetric LSH they suggest. We also show a variant of the settings where asymmetry is in-fact needed, but there a different asymmetric LSH is required." @default.
- W2963576795 created "2019-07-30" @default.
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- W2963576795 date "2014-10-21" @default.
- W2963576795 modified "2023-09-27" @default.
- W2963576795 title "A simpler and better LSH for Maximum Inner Product Search (MIPS)" @default.
- W2963576795 hasPublicationYear "2014" @default.
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