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k-Regret Queries with Nonlinear Utilities

Summary: Extends k-regret queries from linear to nonlinear utility functions for representative point selection. Provides upper/lower bounds over convex/concave/CES utility classes and validates with real and synthetic data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11127
Venue
VLDB
Year
2015
Pagerank
5.2790141e-05
Overall Rank
5,904 | 58.93%
DOI
-

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
430 The Onion Technique: Indexing for Linear Optimization Queries 2000 SIGMOD 0.00023463938
465 PREFER: A System for the Efficient Execution of Multiparametric Ranked Queries 2001 SIGMOD 0.00022455702
914 Finding k-Dominant Skylines in High Dimensional Space 2006 SIGMOD 0.00015387584
1,072 Regret-Minimizing Representative Databases 2010 VLDB 0.00014270817
2,478 Computing k-Regret Minimizing Sets 2014 VLDB 8.6927744e-05
2,615 Interactive Regret Minimization 2012 SIGMOD 8.4473503e-05
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