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Computing k-Regret Minimizing Sets

Summary: Proposes k-regret minimizing sets as a relaxed data-summary: small R approximates D's top-k results via top-1 queries. In 2D, optimal R via DP plane-sweep; in higher dimensions, a greedy LP-based algorithm yields compact summaries despite NP-hardness. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11105
Venue
VLDB
Year
2014
Pagerank
9.2399169e-05
Overall Rank
2,063 | 85.85%
DOI
10.14778/2735479.2735483

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{chester_vldb14,
        title = {{Computing k-Regret Minimizing Sets}},
        author = {Chester, Sean and Thomo, Alex and Venkatesh, S. and Whitesides, Sue},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {5},
        pages = {389--400},
        doi = {10.14778/2735479.2735483},
        url = {https://doi.org/10.14778/2735479.2735483},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 16 of 16 citing papers.

Rank Citing Paper Year Venue Pagerank
4,727 Efficient Computation of Regret-ratio Minimizing Set: A Compact Maxima Representative 2017 SIGMOD 6.5362946e-05
4,939 Efficient k-Regret Query Algorithm with Restriction-free Bound for any Dimensionality 2018 SIGMOD 6.4336325e-05
5,465 On Obtaining Stable Rankings 2019 VLDB 6.2075408e-05
5,654 k-Regret Queries with Nonlinear Utilities 2015 VLDB 6.1330869e-05
6,052 Exact Processing of Uncertain Top-k Queries in Multi-criteria Settings 2018 VLDB 5.9941393e-05
6,592 RRR: Rank-Regret Representative 2019 SIGMOD 5.830041e-05
6,636 Marrying Top-k with Skyline Queries: Relaxing the Preference Input while Producing Output of Controllable Size 2021 SIGMOD 5.8172769e-05
6,786 A Unified Optimization Algorithm For Solving “Regret-Minimizing Representative” Problems 2020 VLDB 5.7740702e-05
8,665 Geometric Approaches for Top-k Queries 2017 VLDB 5.3884685e-05
8,825 Creating Top Ranking Options in the Continuous Option and Preference Space 2019 VLDB 5.3616725e-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
10,823 Mining the Minoria: Unknown, Under-represented, and Under-performing Minority Groups 2025 VLDB 5.093636e-05
11,199 Directional Queries: Making Top-k Queries More Effective in Discovering Relevant Results 2024 SIGMOD 5.093636e-05
11,250 Robust Best Point Selection under Unreliable User Feedback 2024 VLDB 5.093636e-05
11,397 rkHit: Representative Query with Uncertain Preference 2023 SIGMOD 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
333 The Onion Technique: Indexing for Linear Optimization Queries 2000 SIGMOD 0.0002089582
792 Finding k-Dominant Skylines in High Dimensional Space 2006 SIGMOD 0.00013979615
1,072 Regret-Minimizing Representative Databases 2010 VLDB 0.0001230281
2,491 Interactive Regret Minimization 2012 SIGMOD 8.5086491e-05
3,317 Ad-hoc Top-k Query Answering for Data Streams 2007 VLDB 7.5251856e-05
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