Query Refinement for Diversity Constraint Satisfaction.

Jinyang Li, Yuval Moskovitch, Julia Stoyanovich, H. V. Jagadish

Research output: Contribution to journalArticlepeer-review

Abstract

Diversity, group representation, and similar needs often apply to query results, which in turn require constraints on the sizes of various subgroups in the result set. Traditional relational queries only specify conditions as part of the query predicate(s), and do not support such restrictions on the output. In this paper, we study the problem of modifying queries to have the result satisfy constraints on the sizes of multiple subgroups in it. This problem, in the worst case, cannot be solved in polynomial time. Yet, with the help of provenance annotation, we are able to develop a query refinement method that works quite efficiently, as we demonstrate through extensive experiments.
Original languageAmerican English
Pages (from-to)106-118
Number of pages13
JournalProceedings of the VLDB Endowment
Volume17
Issue number2
DOIs
StatePublished - 1 Oct 2023

Fingerprint

Dive into the research topics of 'Query Refinement for Diversity Constraint Satisfaction.'. Together they form a unique fingerprint.

Cite this