Regret-Minimizing Representative Databases
Summary: Introduces k-regret queries that output k representative tuples for multi-criteria decision making without user-provided utility functions. Proves a maximum regret ratio bound independent of database size and offers linear-time algorithms compatible with skyline, validated on real and synthetic data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Danupon Nanongkai
- 2. Atish Das Sarma
- 3. Ashwin Lall
- 4. Richard J. Lipton
- 5. Jun Xu
Incoming Citations (Sorted by Pagerank)
Showing 26 of 26 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 428 | The Onion Technique: Indexing for Linear Optimization Queries | 2000 | SIGMOD | 0.0002349868 |
| 464 | PREFER: A System for the Efficient Execution of Multiparametric Ranked Queries | 2001 | SIGMOD | 0.00022476798 |
| 913 | Finding k-Dominant Skylines in High Dimensional Space | 2006 | SIGMOD | 0.00015372758 |
| 2,004 | Discovering Relative Importance of Skyline Attributes | 2009 | VLDB | 9.8183624e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,351 | Multi-objective Query Processing for Database Systems | 2004 | VLDB | 8.9836468e-05 |
| 2,477 | Computing k-Regret Minimizing Sets | 2014 | VLDB | 8.6907684e-05 |
| 6,804 | RRR: Rank-Regret Representative | 2019 | SIGMOD | 4.917138e-05 |
| 7,541 | Strongly Truthful Interactive Regret Minimization | 2019 | SIGMOD | 4.7104726e-05 |
| 6,816 | A Unified Optimization Algorithm For Solving "Regret-Minimizing Representative" Problems | 2020 | VLDB | 4.9115662e-05 |
| 5,113 | Efficient Computation of Regret-ratio Minimizing Set: A Compact Maxima Representative | 2017 | SIGMOD | 5.6827696e-05 |
| 2,621 | Interactive Regret Minimization | 2012 | SIGMOD | 8.4408945e-05 |
| 5,906 | k-Regret Queries with Nonlinear Utilities | 2015 | VLDB | 5.274596e-05 |
| 5,259 | Efficient k-Regret Query Algorithm with Restriction-free Bound for any Dimensionality | 2018 | SIGMOD | 5.5972902e-05 |
| 6,841 | Minimizing Average Regret Ratio in Database | 2016 | SIGMOD | 4.9057455e-05 |