RRR: Rank-Regret Representative
Summary: Rank-Regret Representative (RRR): minimal subset ensuring at least one of the top-k items for every possible ranking function (rank-based regret). NP-hard; uses geometric bounds and combinatorial approximations to compute compact, scalable representatives, validated on real datasets. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Abolfazl Asudeh (University of Michigan)
- 2. Azade Nazi (Google; University of Texas)
- 3. Nan Zhang (Pennsylvania State University)
- 4. Gautam Das (University of Texas)
- 5. H. V. Jagadish (University of Michigan)
BibTeX Citation
@inproceedings{asudeh_sigmod19,
title = {{RRR: Rank-Regret Representative}},
author = {Asudeh, Abolfazl and Nazi, Azade and Zhang, Nan and Das, Gautam and Jagadish, H. V.},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3300080},
url = {https://dl.acm.org/doi/10.1145/3299869.3300080},
year = {2019}
}
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,597 | Designing Fair Ranking Schemes | 2019 | SIGMOD | 0.00010246472 |
| 5,300 | Towards Distribution-aware Query Answering in Data Markets | 2022 | VLDB | 6.2751506e-05 |
| 5,465 | On Obtaining Stable Rankings | 2019 | VLDB | 6.2075408e-05 |
| 6,636 | Marrying Top-k with Skyline Queries: Relaxing the Preference Input while Producing Output of Controllable Size | 2021 | SIGMOD | 5.8172769e-05 |
| 9,393 | Happiness Maximizing Sets under Group Fairness Constraints | 2023 | VLDB | 5.2755515e-05 |
| 9,901 | Interactive Search for One of the Top-k | 2021 | SIGMOD | 5.1997534e-05 |
| 10,511 | On Fair Epsilon Net and Geometric Hitting Set | 2026 | VLDB | 5.093636e-05 |
| 10,823 | Mining the Minoria: Unknown, Under-represented, and Under-performing Minority Groups | 2025 | VLDB | 5.093636e-05 |
| 11,397 | rkHit: Representative Query with Uncertain Preference | 2023 | SIGMOD | 5.093636e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,491 | Interactive Regret Minimization | 2012 | SIGMOD |
| 2 | 11,397 | rkHit: Representative Query with Uncertain Preference | 2023 | SIGMOD |
| 3 | 7,449 | Rank Aggregation with Proportionate Fairness | 2022 | SIGMOD |
| 4 | 4,939 | Efficient k-Regret Query Algorithm with Restriction-free Bound for any Dimensionality | 2018 | SIGMOD |
| 5 | 5,654 | k-Regret Queries with Nonlinear Utilities | 2015 | VLDB |
| 6 | 2,063 | Computing k-Regret Minimizing Sets | 2014 | VLDB |
| 7 | 6,886 | Minimizing Average Regret Ratio in Database | 2016 | SIGMOD |
| 8 | 4,727 | Efficient Computation of Regret-ratio Minimizing Set: A Compact Maxima Representative | 2017 | SIGMOD |
| 9 | 1,072 | Regret-Minimizing Representative Databases | 2010 | VLDB |
| 10 | 6,786 | A Unified Optimization Algorithm For Solving “Regret-Minimizing Representative” Problems | 2020 | VLDB |