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HAP: An Efficient Hamming Space Index Based on Augmented Pigeonhole Principle

Summary: Relax disjoint partitioning of binary vectors by allowing dimension redundancy to form Augmented Pigeonhole Principle (APP) for tighter Hamming pruning. HAP combines APP, SimCardNet, PLA-Elias-Fano compression, and batch optimization to support Hamming range and k-NN with improved space/time efficiency on large binary DBs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6332
Venue
SIGMOD
Year
2022
Pagerank
4.4761716e-05
Overall Rank
8,650 | 39.83%
DOI
10.1145/3514221.3517880

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