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Query Refinement for Diversity Constraint Satisfaction

Summary: Modify relational queries to enforce multiple subgroup-size (diversity/representation) constraints; problem is worst-case intractable. Propose a provenance-driven query-refinement technique that efficiently enforces these constraints in practice, with empirical validation. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
h4dc2109061032ed3
Venue
VLDB
Year
2024
Pagerank
6.6632438e-05
Overall Rank
4,327 | 70.91%
DOI
10.14778/3626292.3626295

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{li_vldb24,
        title = {{Query Refinement for Diversity Constraint Satisfaction}},
        author = {Li, Jinyang and Moskovitch, Yuval and Stoyanovich, Julia and Jagadish, H. V.},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {2},
        pages = {106--118},
        doi = {10.14778/3626292.3626295},
        url = {https://doi.org/10.14778/3626292.3626295},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

Rank Cited Paper Year Venue Pagerank
17 Provenance Semirings 2007 PODS 0.00059752575
518 Query by Output 2009 SIGMOD 0.00016944862
791 How to ConQueR Why-Not Questions 2010 SIGMOD 0.00013976192
1,145 Efficient Diversity-Aware Search 2011 SIGMOD 0.00011824078
1,476 Diversifying Top-K Results 2012 VLDB 0.00010551487
1,643 Relaxing Join and Selection Queries 2006 VLDB 0.00010006399
1,944 Caravan: Provisioning for What-If Analysis 2013 CIDR 9.3281326e-05
2,127 Query Rewriting for Semistructured Data 1999 SIGMOD 9.0005009e-05
2,353 Bias in OLAP Queries: Detection, Explanation, and Removal (Or Think Twice About Your AVG-Query) 2018 SIGMOD 8.5902514e-05
3,338 On the Complexity of Query Result Diversification 2013 VLDB 7.4103278e-05
4,606 MLINSPECT: A Data Distribution Debugger for Machine Learning Pipelines 2021 SIGMOD 6.5041225e-05
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