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Counting with the Crowd

Summary: Crowdsourced selectivity estimation for predicates without full scans, leveraging workers to estimate the fraction of items satisfying a property. Counts (showing items) excel for image datasets, while sampled labeling wins on text; a spammer/collusion detector boosts accuracy by up to 100×. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
he4310471f3c0bd9b
Venue
VLDB
Year
2013
Pagerank
9.3636304e-05
Overall Rank
1,926 | 87.06%
DOI
10.14778/2536222.2536228

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{marcus_vldb13,
        title = {{Counting with the Crowd}},
        author = {Marcus, Adam and Karger, David and Madden, Samuel and Miller, Robert and Oh, Sewoong},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {2},
        pages = {109--120},
        doi = {10.14778/2536222.2536228},
        url = {https://doi.org/10.14778/2536222.2536228},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 19 of 19 citing papers.

Rank Citing Paper Year Venue Pagerank
1,655 Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services 2017 SIGMOD 9.9694129e-05
2,505 Query-Oriented Data Cleaning with Oracles 2015 SIGMOD 8.3743595e-05
2,643 Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning 2015 VLDB 8.1741373e-05
3,668 Revisiting Prompt Engineering via Declarative Crowdsourcing 2024 CIDR 7.1144218e-05
3,840 QASCA: A Quality-Aware Task Assignment System for Crowdsourcing Applications 2015 SIGMOD 6.988858e-05
4,025 CLAMShell: Speeding up Crowds for Low-latency Data Labeling 2016 VLDB 6.8439934e-05
5,309 SemBench: A Benchmark for Semantic Query Processing Engines 2026 VLDB 6.1841176e-05
5,572 Efficient Algorithms for Crowd-Aided Categorization 2020 VLDB 6.078318e-05
6,400 Human-in-the-loop Data Integration 2017 VLDB 5.7962311e-05
6,539 QOCO: A Query Oriented Data Cleaning System with Oracles 2015 VLDB 5.7507888e-05
6,633 Budget Constrained Interactive Search for Multiple Targets 2021 VLDB 5.724725e-05
6,928 Interactive Graph Search 2019 SIGMOD 5.6397012e-05
7,230 OASSIS: Query Driven Crowd Mining 2014 SIGMOD 5.5779439e-05
7,505 Crowdsourced Data Management: Overview and Challenges 2017 SIGMOD 5.5057737e-05
8,959 Managing General and Individual Knowledge in Crowd Mining Applications 2015 CIDR 5.2496174e-05
9,200 Interactive Graph Search for Multiple Targets on DAGs 2025 VLDB 5.2086045e-05
9,459 Ontology Assisted Crowd Mining 2014 VLDB 5.1727984e-05
9,591 CDB: Optimizing Queries with Crowd-Based Selections and Joins 2017 SIGMOD 5.154741e-05
12,218 A Rating-Ranking Method for Crowdsourced Top-k Computation 2018 SIGMOD 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

Rank Cited Paper Year Venue Pagerank
92 CrowdDB: Answering Queries with Crowdsourcing 2011 SIGMOD 0.00034670735
257 Crowdsourced Databases: Query Processing with People 2011 CIDR 0.00022958404
259 Answering Queries using Humans, Algorithms and Databases 2011 CIDR 0.00022916014
266 Human-powered Sorts and Joins 2012 VLDB 0.00022735106
750 So Who Won? Dynamic Max Discovery with the Crowd 2012 SIGMOD 0.00014258988
987 CrowdScreen: Algorithms for Filtering Data with Humans 2012 SIGMOD 0.00012655094
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