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k-Regret Queries with Nonlinear Utilities

Summary: Generalizes k-regret queries beyond linear utilities to convex, concave, and constant-elasticity-of-substitution models, capturing diminishing returns, risk, and substitutability. Derives upper/lower bounds and validates them empirically. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11315
Venue
VLDB
Year
2015
Pagerank
6.1330869e-05
Overall Rank
5,654 | 61.21%
DOI
10.14778/2831360.2831364

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{faulkner_vldb15,
        title = {{k-Regret Queries with Nonlinear Utilities}},
        author = {Faulkner, Taylor Kessler and Brackenbury, Will and Lall, Ashwin},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {13},
        pages = {2098--2109},
        doi = {10.14778/2831360.2831364},
        url = {https://doi.org/10.14778/2831360.2831364},
        year = {2015}
}

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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 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
407 PREFER: A System for the Efficient Execution of Multiparametric Ranked Queries 2001 SIGMOD 0.00019021441
792 Finding k-Dominant Skylines in High Dimensional Space 2006 SIGMOD 0.00013979615
1,072 Regret-Minimizing Representative Databases 2010 VLDB 0.0001230281
2,063 Computing k-Regret Minimizing Sets 2014 VLDB 9.2399169e-05
2,491 Interactive Regret Minimization 2012 SIGMOD 8.5086491e-05
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