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Continuously Adaptive Similarity Search

Summary: Continuously adaptive similarity search via OASIS, avoiding full re-indexing as the distance metric evolves. LSH invariance lets the original index stay effective under metric updates; incremental re-hashing and metric learning yield up to 1,000x speedups with accuracy preserved. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5814
Venue
SIGMOD
Year
2020
Pagerank
5.2066612e-05
Overall Rank
6,107 | 57.52%
DOI
10.1145/mod0251

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