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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
9.3637786e-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
1,654 Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services 2017 SIGMOD 9.9739611e-05
2,504 Query-Oriented Data Cleaning with Oracles 2015 SIGMOD 8.3782213e-05
2,642 Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning 2015 VLDB 8.1778168e-05
3,695 Revisiting Prompt Engineering via Declarative Crowdsourcing 2024 CIDR 7.092445e-05
3,839 QASCA: A Quality-Aware Task Assignment System for Crowdsourcing Applications 2015 SIGMOD 6.9921604e-05
4,024 CLAMShell: Speeding up Crowds for Low-latency Data Labeling 2016 VLDB 6.8472018e-05
5,501 SemBench: A Benchmark for Semantic Query Processing Engines 2026 VLDB 6.1027188e-05
5,570 Efficient Algorithms for Crowd-Aided Categorization 2020 VLDB 6.0811968e-05
6,397 Human-in-the-loop Data Integration 2017 VLDB 5.7989499e-05
6,537 QOCO: A Query Oriented Data Cleaning System with Oracles 2015 VLDB 5.7535125e-05
6,629 Budget Constrained Interactive Search for Multiple Targets 2021 VLDB 5.7274363e-05
6,925 Interactive Graph Search 2019 SIGMOD 5.6423723e-05
7,228 OASSIS: Query Driven Crowd Mining 2014 SIGMOD 5.5805857e-05
7,500 Crowdsourced Data Management: Overview and Challenges 2017 SIGMOD 5.5083793e-05
8,951 Managing General and Individual Knowledge in Crowd Mining Applications 2015 CIDR 5.252096e-05
9,191 Interactive Graph Search for Multiple Targets on DAGs 2025 VLDB 5.2110714e-05
9,450 Ontology Assisted Crowd Mining 2014 VLDB 5.1752483e-05
9,583 CDB: Optimizing Queries with Crowd-Based Selections and Joins 2017 SIGMOD 5.1571823e-05
12,212 A Rating-Ranking Method for Crowdsourced Top-k Computation 2018 SIGMOD 4.9793485e-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 0.00034672523
257 Crowdsourced Databases: Query Processing with People 2011 CIDR 0.00022962347
259 Answering Queries using Humans, Algorithms and Databases 2011 CIDR 0.00022923243
266 Human-powered Sorts and Joins 2012 VLDB 0.00022739124
749 So Who Won? Dynamic Max Discovery with the Crowd 2012 SIGMOD 0.00014265279
987 CrowdScreen: Algorithms for Filtering Data with Humans 2012 SIGMOD 0.00012660627
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