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Query Refinement for Diverse Top-k Selection

Summary: Query refinement for top-k ORDER BY: minimally perturb predicates so results satisfy a user-defined diversity objective while preserving original intent. Proves hardness and gives an MILP-based optimizer plus scalability tricks for practical diverse top-k selection. (summarized by gpt-5.4-mini on May 24 2026)

Paper ID
6929
Venue
SIGMOD
Year
2024
Pagerank
5.3911246e-05
Overall Rank
5,649 | 60.71%
DOI
10.1145/3654969

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