Rodeo: Making Refinements for Diverse Top-k Queries
Summary: Rodeo generates minimal query refinements to enforce group-representation constraints across multiple top-k thresholds, improving diversity in ranked query outputs. Produces modified queries (not post-hoc re-ranking), targeting constrained diversity for various k values. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Felix S. Campbell (Ben Gurion University)
- 2. Julia Stoyanovich (New York University)
- 3. Yuval Moskovitch (Ben Gurion University)
BibTeX Citation
@article{campbell_vldb24,
title = {{Rodeo: Making Refinements for Diverse Top-k Queries}},
author = {Campbell, Felix S. and Stoyanovich, Julia and Moskovitch, Yuval},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {12},
pages = {4341--4344},
doi = {10.14778/3685800.3685870},
url = {https://doi.org/10.14778/3685800.3685870},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,576 | Efficient Query Repair for Aggregate Constraints | 2026 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 103 | DuckDB: an Embeddable Analytical Database | 2019 | SIGMOD | 0.00034161428 |
| 1,597 | Designing Fair Ranking Schemes | 2019 | SIGMOD | 0.00010246472 |
| 6,293 | Query Refinement for Diversity Constraint Satisfaction | 2024 | VLDB | 5.9247942e-05 |
| 6,389 | Query Refinement for Diverse Top-k Selection | 2024 | SIGMOD | 5.8895166e-05 |
| 11,493 | Erica: Query Refinement for Diversity Constraint Satisfaction | 2023 | VLDB | 5.093636e-05 |
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