Query Refinement for Diverse Top-k Selection
Summary: Query refinement for top-k ORDER BY: minimally perturb predicates so results satisfy a user-defined diversity objective while preserving original intent. Proves hardness and gives an MILP-based optimizer plus scalability tricks for practical diverse top-k selection. (summarized by gpt-5.4-mini on May 24 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,407 | Rodeo: Making Refinements for Diverse Top-k Queries | 2024 | VLDB | 4.3441378e-05 |
| 10,277 | Efficient Query Repair for Aggregate Constraints | 2026 | VLDB | 4.1945683e-05 |
| 10,814 | GooseDB: A Database Engine that Optimally Refines Top-k Queries to Satisfy Representation Constraints | 2025 | VLDB | 4.1945683e-05 |
| 13,105 | OmniTune: A Universal Framework for Query Refinement via LLMs | 2025 | SIGMOD | - |
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Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 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 | Pagerank |
|---|---|---|---|---|
| 3,474 | Solving the Join Ordering Problem via Mixed Integer Linear Programming | 2017 | SIGMOD | 7.0625972e-05 |
| 12,111 | Optimal Top-k Generation of Attribute Combinations based on Ranked Lists | 2012 | SIGMOD | 4.1945683e-05 |
| 7,692 | Processing Top-k Join Queries | 2010 | VLDB | 4.6761366e-05 |
| 4,711 | Answering Top-k Queries with Multi-Dimensional Selections: The Ranking Cube Approach | 2006 | VLDB | 5.9790683e-05 |
| 2,346 | Multi-objective Query Processing for Database Systems | 2004 | VLDB | 8.9919258e-05 |
| 10,283 | Hybrid Mixed Integer Linear Programming for Large-Scale Join Order Optimisation | 2026 | VLDB | 4.1945683e-05 |
| 2,556 | Probabilistic Optimization of Top N Queries | 1999 | VLDB | 8.5465733e-05 |
| 7,468 | Boolean + Ranking: Querying a Database by K-Constrained Optimization | 2006 | SIGMOD | 4.7210446e-05 |
| 805 | Evaluating Top-k Selection Queries | 1999 | VLDB | 0.00016437265 |
| 4,056 | On the Complexity of Query Result Diversification | 2013 | VLDB | 6.4883623e-05 |