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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
4578
Venue
SIGMOD
Year
2012
Pagerank
8.5086491e-05
Overall Rank
2,491 | 82.92%
DOI
10.1145/2213836.2213850

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{nanongkai_sigmod12,
        title = {{Interactive Regret Minimization}},
        author = {Nanongkai, Danupon and Lall, Ashwin and Sarma, Atish Das and Makino, Kazuhisa},
        series = {{SIGMOD} '12},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2213836.2213850},
        url = {https://dl.acm.org/doi/10.1145/2213836.2213850},
        year = {2012}
}

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