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: 5412
Venue: SIGMOD
Year: 2017
Pagerank: 4.1945683e-05
Overall Rank: 11,788 | 18.00%
DOI: 10.1145/3035918.3064036

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

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Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
5,279	CDB: A Crowd-Powered Database System	2018	VLDB	5.5902418e-05
6,569	Domain Adaptation for Deep Entity Resolution	2022	SIGMOD	5.0065379e-05
6,868	Cost-Effective Data Annotation using Game-Based Crowdsourcing	2019	VLDB	4.9010083e-05
7,179	Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning	2023	VLDB	4.8078895e-05
7,535	Interactive Graph Search	2019	SIGMOD	4.7178467e-05
7,575	Human-in-the-loop Outlier Detection	2020	SIGMOD	4.7068909e-05
7,668	Human-in-the-loop Data Integration	2017	VLDB	4.6834075e-05
11,707	A Rating-Ranking Method for Crowdsourced Top-k Computation	2018	SIGMOD	4.1945683e-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	0.00051013264
249	Crowdsourced Databases: Query Processing with People	2011	CIDR	0.00030740523
263	CrowdER: Crowdsourcing Entity Resolution	2012	VLDB	0.00029862413
267	Human-powered Sorts and Joins	2012	VLDB	0.00029690405
643	Corleone: Hands-Off Crowdsourcing for Entity Matching	2014	SIGMOD	0.00018754451
859	So Who Won? Dynamic Max Discovery with the Crowd	2012	SIGMOD	0.00015870894
866	Leveraging Transitive Relations for Crowdsourced Joins	2013	SIGMOD	0.00015801196
1,164	CrowdScreen: Algorithms for Filtering Data with Humans	2012	SIGMOD	0.00013564823
1,242	Question Selection for Crowd Entity Resolution	2013	VLDB	0.00013096655
1,491	CDAS: A Crowdsourcing Data Analytics System	2012	VLDB	0.00011694982
1,546	KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing	2015	SIGMOD	0.00011446851
1,841	Crowdsourcing Algorithms for Entity Resolution	2014	VLDB	0.00010348858
2,334	Counting with the Crowd	2013	VLDB	9.0161817e-05
2,740	String Similarity Joins: An Experimental Evaluation	2014	VLDB	8.1980628e-05
2,937	Truth Inference in Crowdsourcing: Is the Problem Solved?	2017	VLDB	7.853108e-05
3,100	Crowd Mining	2013	SIGMOD	7.5634778e-05
3,263	QASCA: A Quality-Aware Task Assignment System for Crowdsourcing Applications	2015	SIGMOD	7.3097573e-05
3,322	iCrowd: An Adaptive Crowdsourcing Framework	2015	SIGMOD	7.2230626e-05
4,011	A Confidence-Aware Approach for Truth Discovery on Long-Tail Data	2015	VLDB	6.5343479e-05
4,479	Optimal Crowd-Powered Rating and Filtering Algorithms	2014	VLDB	6.149053e-05
4,579	Crowdsourced Top-k Algorithms: An Experimental Evaluation	2016	VLDB	6.070469e-05
4,619	Crowd-Based Deduplication: An Adaptive Approach	2015	SIGMOD	6.0444854e-05
5,081	Reducing Uncertainty of Schema Matching via Crowdsourcing	2013	VLDB	5.7132042e-05
5,362	Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach	2016	SIGMOD	5.5473503e-05
6,806	Query Optimization over Crowdsourced Data	2013	VLDB	4.9218336e-05
8,056	Where To: Crowd-Aided Path Selection	2014	VLDB	4.5946189e-05
9,212	Ontology Assisted Crowd Mining	2014	VLDB	4.3722536e-05
11,816	DOCS: Domain-Aware Crowdsourcing System	2017	VLDB	4.1945683e-05

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4,579	Crowdsourced Top-k Algorithms: An Experimental Evaluation	2016	VLDB	6.070469e-05
1,885	CrowdDB: Query Processing with the VLDB Crowd	2011	VLDB	0.0001021098
5,450	Crowdsourcing Applications and Platforms: A Data Management Perspective	2011	VLDB	5.5003491e-05
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