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SQL QueRIE Recommendations

Summary: QueRIE provides real-time SQL query recommendations for interactive scientific DB exploration, tailored to non-experts via user-trace data. Two engines: (i) locate regions of interest from past access patterns, (ii) propose structurally similar queries; outputs executable SQL for SkyServer. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10197
Venue
VLDB
Year
2010
Pagerank
7.9756156e-05
Overall Rank
2,905 | 80.08%
DOI
10.14778/1920841.1921041

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{akbarnejad_vldb10,
        title = {{SQL QueRIE Recommendations}},
        author = {Akbarnejad, Javad and Chatzopoulou, Gloria and Eirinaki, Magdalini and Koshy, Suju and Mittal, Sarika and On, Duc and Polyzotis, Neoklis and Varman, Jothi S. Vindhiya},
        journal = {PVLDB},
        series = {{VLDB} '10},
        volume = {3},
        number = {2},
        pages = {1597--1600},
        doi = {10.14778/1920841.1921041},
        url = {https://doi.org/10.14778/1920841.1921041},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

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

Rank Cited Paper Year Venue Pagerank
1,149 A Case for A Collaborative Query Management System 2009 CIDR 0.0001194728
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