Proximity Rank Join
Summary: Proximity rank join: relations with scores and feature vectors; return top-K combos closest to a target and to each other. A tight bound guarantees instance-optimal I/O and drives adaptive pulling; experiments show gains vs HRJN-based methods. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Davide Martinenghi (Politecnico di Milano)
- 2. Marco Tagliasacchi (Politecnico di Milano)
BibTeX Citation
@article{martinenghi_vldb10,
title = {{Proximity Rank Join}},
author = {Martinenghi, Davide and Tagliasacchi, Marco},
journal = {PVLDB},
series = {{VLDB} '10},
volume = {3},
number = {1},
pages = {352--363},
doi = {10.14778/1920841.1920889},
url = {https://doi.org/10.14778/1920841.1920889},
year = {2010}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,259 | Top-k Bounded Diversification | 2012 | SIGMOD | 8.8529269e-05 |
| 12,377 | Search Computing: Multi-domain Search on Ranked Data | 2011 | SIGMOD | 5.093636e-05 |
| 12,386 | Efficient Rank Join with Aggregation Constraints | 2011 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5 | Optimal Aggregation Algorithms for Middleware [Extended Abstract] | 2001 | PODS | 0.0010828372 |
| 509 | Supporting Top-k Join Queries in Relational Databases | 2003 | VLDB | 0.00017220967 |
| 1,525 | Incremental Distance Join Algorithms for Spatial Databases | 1998 | SIGMOD | 0.00010493702 |
| 1,605 | Efficient Search for the Top-k Probable Nearest Neighbors in Uncertain Databases | 2008 | VLDB | 0.00010229844 |
| 2,585 | Evaluating Rank Joins with Optimal Cost | 2008 | PODS | 8.3774452e-05 |
| 5,138 | Robust and Efficient Algorithms for Rank Join Evaluation | 2009 | SIGMOD | 6.3495536e-05 |
| 7,123 | Depth Estimation for Ranking Query Optimization | 2007 | VLDB | 5.6966694e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,462 | Output-optimal Parallel Algorithms for Similarity Joins | 2017 | PODS |
| 2 | 9,052 | Fast Approximate Similarity Join in Vector Databases | 2025 | SIGMOD |
| 3 | 7,286 | Efficient Computation of Quantiles over Joins | 2023 | PODS |
| 4 | 499 | Supporting Incremental Join Queries on Ranked Inputs | 2001 | VLDB |
| 5 | 5,601 | Optimal Join Algorithms Meet Top-k | 2020 | SIGMOD |
| 6 | 7,550 | Processing Top-k Join Queries | 2010 | VLDB |
| 7 | 1,759 | Rank-aware Query Optimization | 2004 | SIGMOD |
| 8 | 12,386 | Efficient Rank Join with Aggregation Constraints | 2011 | VLDB |
| 9 | 5,138 | Robust and Efficient Algorithms for Rank Join Evaluation | 2009 | SIGMOD |
| 10 | 2,585 | Evaluating Rank Joins with Optimal Cost | 2008 | PODS |