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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)

Paper ID
13652
Venue
VLDB
Year
2024
Pagerank
4.3441378e-05
Overall Rank
9,407 | 34.56%
DOI
10.14778/3685800.3685870

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Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,277 Efficient Query Repair for Aggregate Constraints 2026 VLDB 4.1945683e-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
185 DuckDB: an Embeddable Analytical Database 2019 SIGMOD 0.00036538405
1,597 Designing Fair Ranking Schemes 2019 SIGMOD 0.00011209846
5,649 Query Refinement for Diverse Top-k Selection 2024 SIGMOD 5.3911246e-05
6,643 Query Refinement for Diversity Constraint Satisfaction 2024 VLDB 4.9786132e-05
11,294 Erica: Query Refinement for Diversity Constraint Satisfaction 2023 VLDB 4.1945683e-05
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