CDB: Optimizing Queries with Crowd-Based Selections and Joins

Summary: Graph-based query model for crowd-powered selections and joins enables fine-grained, per-tuple optimization beyond coarse tree orders. Unified multi-goal optimization (cost, latency, quality) under a single framework, with AMT/CrowdFlower/ChinaCrowd deployments and benchmarks showing gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 5413
Venue: SIGMOD
Year: 2017
Pagerank: 4.1905499e-05
Overall Rank: 11,796 | 18.02%
DOI: 10.1145/3035918.3064036

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Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
5,254	CDB: A Crowd-Powered Database System	2018	VLDB	5.5991922e-05
6,570	Domain Adaptation for Deep Entity Resolution	2022	SIGMOD	5.0017341e-05
6,873	Cost-Effective Data Annotation using Game-Based Crowdsourcing	2019	VLDB	4.8963037e-05
7,180	Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning	2023	VLDB	4.8032775e-05
7,534	Interactive Graph Search	2019	SIGMOD	4.7133212e-05
7,580	Human-in-the-loop Outlier Detection	2020	SIGMOD	4.7023767e-05
7,667	Human-in-the-loop Data Integration	2017	VLDB	4.6791871e-05
11,713	A Rating-Ranking Method for Crowdsourced Top-k Computation	2018	SIGMOD	4.1905499e-05

Outgoing Citations (Sorted by Pagerank)

Showing 28 of 28 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
94	CrowdDB: Answering Queries with Crowdsourcing	2011	SIGMOD	0.00051273089
246	Crowdsourced Databases: Query Processing with People	2011	CIDR	0.00030952631
265	CrowdER: Crowdsourcing Entity Resolution	2012	VLDB	0.00029904018
266	Human-powered Sorts and Joins	2012	VLDB	0.00029884758
641	Corleone: Hands-Off Crowdsourcing for Entity Matching	2014	SIGMOD	0.00018759417
854	So Who Won? Dynamic Max Discovery with the Crowd	2012	SIGMOD	0.00015879917
863	Leveraging Transitive Relations for Crowdsourced Joins	2013	SIGMOD	0.00015793243
1,154	CrowdScreen: Algorithms for Filtering Data with Humans	2012	SIGMOD	0.00013616867
1,242	Question Selection for Crowd Entity Resolution	2013	VLDB	0.00013088272
1,491	CDAS: A Crowdsourcing Data Analytics System	2012	VLDB	0.00011685731
1,544	KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing	2015	SIGMOD	0.00011438274
1,842	Crowdsourcing Algorithms for Entity Resolution	2014	VLDB	0.00010342022
2,255	Counting with the Crowd	2013	VLDB	9.1846281e-05
2,729	String Similarity Joins: An Experimental Evaluation	2014	VLDB	8.2175463e-05
2,944	Truth Inference in Crowdsourcing: Is the Problem Solved?	2017	VLDB	7.8457167e-05
3,104	Crowd Mining	2013	SIGMOD	7.5577057e-05
3,268	QASCA: A Quality-Aware Task Assignment System for Crowdsourcing Applications	2015	SIGMOD	7.3027561e-05
3,324	iCrowd: An Adaptive Crowdsourcing Framework	2015	SIGMOD	7.2163115e-05
4,016	A Confidence-Aware Approach for Truth Discovery on Long-Tail Data	2015	VLDB	6.5280895e-05
4,483	Optimal Crowd-Powered Rating and Filtering Algorithms	2014	VLDB	6.1431599e-05
4,580	Crowdsourced Top-k Algorithms: An Experimental Evaluation	2016	VLDB	6.0646299e-05
4,617	Crowd-Based Deduplication: An Adaptive Approach	2015	SIGMOD	6.0400801e-05
5,080	Reducing Uncertainty of Schema Matching via Crowdsourcing	2013	VLDB	5.7081186e-05
5,369	Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach	2016	SIGMOD	5.5436995e-05
6,801	Query Optimization over Crowdsourced Data	2013	VLDB	4.9175463e-05
8,062	Where To: Crowd-Aided Path Selection	2014	VLDB	4.5902135e-05
9,214	Ontology Assisted Crowd Mining	2014	VLDB	4.3680645e-05
11,824	DOCS: Domain-Aware Crowdsourcing System	2017	VLDB	4.1905499e-05

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4,580	Crowdsourced Top-k Algorithms: An Experimental Evaluation	2016	VLDB	6.0646299e-05
1,883	CrowdDB: Query Processing with the VLDB Crowd	2011	VLDB	0.00010208032
5,458	Crowdsourcing Applications and Platforms: A Data Management Perspective	2011	VLDB	5.4952003e-05
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