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Interactive Regret Minimization

Summary: Interactive regret minimization for multi-criteria DB queries; users pick the best from small displays. Shows exponential regret reduction via interaction; tight bounds and moderate per-question size yield few questions. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4516
Venue
SIGMOD
Year
2012
Pagerank
8.4473503e-05
Overall Rank
2,615 | 81.81%
DOI
-

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