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SnapToQuery: Providing Interactive Feedback during Exploratory Query Specification

Summary: SnapToQuery interactively “snaps” imprecise mouse, touch, or motion-capture query gestures to likely intended queries learned from logs or data. Data-reduction techniques preserve responsiveness, yielding faster, more accurate specification (up to 2.2× for motion capture). (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11192
Venue
VLDB
Year
2015
Pagerank
5.7447134e-05
Overall Rank
6,892 | 52.72%
DOI
10.14778/2809974.2809986

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{jiang_vldb15,
        title = {{SnapToQuery: Providing Interactive Feedback during Exploratory Query Specification}},
        author = {Jiang, Lilong and Nandi, Arnab},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {11},
        doi = {10.14778/2809974.2809986},
        url = {https://doi.org/10.14778/2809974.2809986},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,506 Query Steering for Interactive Data Exploration 2013 CIDR 0.00010545273
1,725 Addressing Diverse User Preferences in SQL-Query-Result Navigation 2007 SIGMOD 9.9197083e-05
2,087 Guided Interaction: Rethinking the Query-Result Paradigm 2011 VLDB 9.1914119e-05
2,946 Gestural Query Specification 2014 VLDB 7.93259e-05
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