Database Paper Browser

Back to papers

Strongly Truthful Interactive Regret Minimization

Summary: Introduces an interactive regret-minimization framework to locate a user’s favorite tuple by asking a few questions and presenting only true database tuples. In 2D, achieves asymptotically optimal query complexity with provable guarantees in higher dimensions, outperforming prior methods on real and synthetic data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5599
Venue
SIGMOD
Year
2019
Pagerank
4.7107487e-05
Overall Rank
7,559 | 47.42%
DOI
10.1145/3299869.3300068

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers