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Crowd-Based Deduplication: An Adaptive Approach

Summary: ACD adapts correlation clustering to crowd-based deduplication, with techniques to speed crowd work and postprocess for higher accuracy. MTurk experiments show higher precision than state-of-the-art with moderate crowdsourcing overhead. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5021
Venue
SIGMOD
Year
2015
Pagerank
6.9739851e-05
Overall Rank
3,983 | 72.68%
DOI
10.1145/2723372.2723739

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wang_sigmod15,
        title = {{Crowd-Based Deduplication: An Adaptive Approach}},
        author = {Wang, Sibo and Xiao, Xiaokui and Lee, Chun-Hee},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2723739},
        url = {https://dl.acm.org/doi/10.1145/2723372.2723739},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

Rank Citing Paper Year Venue Pagerank
2,463 A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching 2020 SIGMOD 8.5486912e-05
3,496 Waldo: An Adaptive Human Interface for Crowd Entity Resolution 2017 SIGMOD 7.3634471e-05
4,538 Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach 2016 SIGMOD 6.6404776e-05
6,908 Cost-Effective Data Annotation using Game-Based Crowdsourcing 2019 VLDB 5.7415834e-05
7,357 Crowdsourced Data Management: Overview and Challenges 2017 SIGMOD 5.6346837e-05
7,493 Human-in-the-loop Data Integration 2017 VLDB 5.6046905e-05
9,401 CDB: Optimizing Queries with Crowd-Based Selections and Joins 2017 SIGMOD 5.2755515e-05
10,049 Towards Interpretable and Learnable Risk Analysis for Entity Resolution 2020 SIGMOD 5.1685424e-05
10,248 Generalized Entity Matching with Adaptivity via Large Language Models 2026 SIGMOD 5.093636e-05
10,318 In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration 2026 SIGMOD 5.093636e-05
10,382 LLM-Powered Interactive Graph Search: A Scalable and Practical Approach 2026 SIGMOD 5.093636e-05
11,936 A Demonstration of PERC: Probabilistic Entity Resolution With Crowd Errors 2018 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 19 of 19 cited papers.

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

Rank Cited Paper Year Venue Pagerank
58 The Merge/Purge Problem for Large Databases 1995 SIGMOD 0.00040116748
90 CrowdDB: Answering Queries with Crowdsourcing 2011 SIGMOD 0.00034951786
160 Integration of Heterogeneous Databases Without Common Domains Using Queries Based on Textual Similarity 1998 SIGMOD 0.0002802209
196 CrowdER: Crowdsourcing Entity Resolution 2012 VLDB 0.00025780596
265 Human-powered Sorts and Joins 2012 VLDB 0.00022935368
439 Corleone: Hands-Off Crowdsourcing for Entity Matching 2014 SIGMOD 0.00018464913
528 On Active Learning of Record Matching Packages 2010 SIGMOD 0.00017100838
743 So Who Won? Dynamic Max Discovery with the Crowd 2012 SIGMOD 0.00014421358
852 Leveraging Transitive Relations for Crowdsourced Joins 2013 SIGMOD 0.00013604253
866 Pay-as-you-go User Feedback for Dataspace Systems 2008 SIGMOD 0.00013519288
871 Framework for Evaluating Clustering Algorithms in Duplicate Detection 2009 VLDB 0.00013496531
933 Question Selection for Crowd Entity Resolution 2013 VLDB 0.00013111293
997 CrowdScreen: Algorithms for Filtering Data with Humans 2012 SIGMOD 0.00012755983
1,270 CDAS: A Crowdsourcing Data Analytics System 2012 VLDB 0.00011388453
1,443 Crowdsourcing Algorithms for Entity Resolution 2014 VLDB 0.00010773106
1,810 CrowdDB: Query Processing with the VLDB Crowd 2011 VLDB 9.7021022e-05
2,789 Crowd Mining 2013 SIGMOD 8.1203892e-05
4,428 Arnold: Declarative Crowd-Machine Data Integration 2013 CIDR 6.7094035e-05
5,830 Exploiting Context Analysis for Combining Multiple Entity Resolution Systems 2009 SIGMOD 6.0734178e-05
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# Overall Rank Paper Year Venue
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