Optimal Crowd-Powered Rating and Filtering Algorithms

Summary: Optimal crowd-powered filtering for data management; relaxes prior assumptions. Two approaches: a generalization yielding optimal but intractable solutions, and an efficient near-optimal strategy; achieves up to 30% error reduction in peer evaluation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 10946
Venue: VLDB
Year: 2014
Pagerank: 6.1431599e-05
Overall Rank: 4,483 | 68.85%
DOI: -

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
2,796	Finish Them!: Pricing Algorithms for Human Computation	2014	VLDB	8.1119959e-05
2,805	Query-Oriented Data Cleaning with Oracles	2015	SIGMOD	8.103731e-05
3,324	iCrowd: An Adaptive Crowdsourcing Framework	2015	SIGMOD	7.2163115e-05
5,744	Efficient Algorithms for Crowd-Aided Categorization	2020	VLDB	5.343155e-05
7,116	Crowdsourced Data Management: Overview and Challenges	2017	SIGMOD	4.8219732e-05
7,780	A Natural Language Interface for Querying General and Individual Knowledge	2015	VLDB	4.6489024e-05
8,510	Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace	2017	VLDB	4.4904732e-05
8,690	Managing General and Individual Knowledge in Crowd Mining Applications	2015	CIDR	4.4618888e-05
9,678	Interactive Graph Search for Multiple Targets on DAGs	2025	VLDB	4.3006524e-05
10,091	LLM-Powered Interactive Graph Search: A Scalable and Practical Approach	2026	SIGMOD	4.1905499e-05
11,796	CDB: Optimizing Queries with Crowd-Based Selections and Joins	2017	SIGMOD	4.1905499e-05
11,910	The Importance of Being Expert: Efficient Max-Finding in Crowdsourcing	2015	SIGMOD	4.1905499e-05

Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 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
854	So Who Won? Dynamic Max Discovery with the Crowd	2012	SIGMOD	0.00015879917
1,154	CrowdScreen: Algorithms for Filtering Data with Humans	2012	SIGMOD	0.00013616867
3,104	Crowd Mining	2013	SIGMOD	7.5577057e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
7,025	Hear the Whole Story: Towards the Diversity of Opinion in Crowdsourcing Markets	2015	VLDB	4.8530001e-05
11,818	A Confidence-Aware Top-k Query Processing Toolkit on Crowdsourcing	2017	VLDB	4.1905499e-05
4,580	Crowdsourced Top-k Algorithms: An Experimental Evaluation	2016	VLDB	6.0646299e-05
11,713	A Rating-Ranking Method for Crowdsourced Top-k Computation	2018	SIGMOD	4.1905499e-05
4,832	An Online Cost Sensitive Decision-Making Method in Crowdsourcing Systems	2013	SIGMOD	5.8883457e-05
11,910	The Importance of Being Expert: Efficient Max-Finding in Crowdsourcing	2015	SIGMOD	4.1905499e-05
8,358	Minimizing Efforts in Validating Crowd Answers	2015	SIGMOD	4.5324924e-05
5,744	Efficient Algorithms for Crowd-Aided Categorization	2020	VLDB	5.343155e-05
7,178	Towards Globally Optimal Crowdsourcing Quality Management: The Uniform Worker Setting	2016	SIGMOD	4.80398e-05
1,154	CrowdScreen: Algorithms for Filtering Data with Humans	2012	SIGMOD	0.00013616867