Neighbor-Sensitive Hashing
Summary: Rejects the standard locality-sensitive hashing premise: deliberately separating similar items in Hamming space can improve approximate-kNN discrimination. Provides theoretical justification and a corresponding hashing algorithm, yielding better accuracy and efficiency empirically. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yongjoo Park (University of Michigan)
- 2. Michael Cafarella (University of Michigan)
- 3. Barzan Mozafari (University of Michigan)
BibTeX Citation
@article{park_vldb16,
title = {{Neighbor-Sensitive Hashing}},
author = {Park, Yongjoo and Cafarella, Michael and Mozafari, Barzan},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {3},
pages = {144--155},
doi = {10.14778/2850583.2850589},
url = {https://doi.org/10.14778/2850583.2850589},
year = {2016}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 784 | VerdictDB: Universalizing Approximate Query Processing | 2018 | SIGMOD | 0.00014012614 |
| 839 | Improving Approximate Nearest Neighbor Search through Learned Adaptive Early Termination | 2020 | SIGMOD | 0.00013547412 |
| 1,225 | ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data | 2024 | SIGMOD | 0.00011444398 |
| 2,027 | Database Learning: Toward a Database that Becomes Smarter Every Time | 2017 | SIGMOD | 9.1618139e-05 |
| 5,272 | InferDB: In-Database Machine Learning Inference Using Indexes | 2024 | VLDB | 6.2010954e-05 |
| 5,877 | BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees | 2019 | SIGMOD | 5.9627218e-05 |
| 9,575 | A Step Toward Deep Online Aggregation | 2023 | SIGMOD | 5.1571823e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 3,774 | Efficient Reverse k-Nearest Neighbor Search in Arbitrary Metric Spaces | 2006 | SIGMOD |
| 2 | 298 | Query-Aware Locality-Sensitive Hashing for Approximate Nearest Neighbor Search | 2016 | VLDB |
| 3 | 9,674 | MQH: Locality Sensitive Hashing on Multi-level Quantization Errors for Point-to-Hyperplane Distances | 2023 | VLDB |
| 4 | 11,088 | On the Adversarial Robustness of Locality-Sensitive Hashing in Hamming Space | 2025 | PODS |
| 5 | 338 | Locality-Sensitive Hashing Scheme Based on Dynamic Collision Counting | 2012 | SIGMOD |
| 6 | 5,796 | Smooth Tradeoffs between Insert and Query Complexity in Nearest Neighbor Search | 2015 | PODS |
| 7 | 6,704 | Distance-Sensitive Hashing | 2018 | PODS |
| 8 | 3,546 | A General and Efficient Querying Method for Learning to Hash | 2018 | SIGMOD |
| 9 | 20 | Similarity Search in High Dimensions via Hashing | 1999 | VLDB |
| 10 | 2,505 | DSH: Data Sensitive Hashing for High-Dimensional k-NN Search | 2014 | SIGMOD |