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QASCA: A Quality-Aware Task Assignment System for Crowdsourcing Applications
Summary: QASCA is a quality-aware online task assignment system for crowdsourcing on AMT. It models probabilistic ground truths from worker answers to optimize Accuracy and F-score, delivering linear-time assignment and achieving about 8% quality gains across five real applications.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 5048
- Venue
- SIGMOD
- Year
- 2015
- Pagerank
- 7.3027561e-05
- Overall Rank
- 3,268 | 77.29%
- DOI
-
10.1145/2723372.2749430
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 16 of 16 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 2,944 |
Truth Inference in Crowdsourcing: Is the Problem Solved? |
2017 |
VLDB |
7.8457167e-05 |
| 3,767 |
Cleaning Crowdsourced Labels Using Oracles for Statistical Classification |
2019 |
VLDB |
6.7748725e-05 |
| 5,254 |
CDB: A Crowd-Powered Database System |
2018 |
VLDB |
5.5991922e-05 |
| 5,369 |
Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach |
2016 |
SIGMOD |
5.5436995e-05 |
| 5,744 |
Efficient Algorithms for Crowd-Aided Categorization |
2020 |
VLDB |
5.343155e-05 |
| 6,873 |
Cost-Effective Data Annotation using Game-Based Crowdsourcing |
2019 |
VLDB |
4.8963037e-05 |
| 7,116 |
Crowdsourced Data Management: Overview and Challenges |
2017 |
SIGMOD |
4.8219732e-05 |
| 7,285 |
Subjective Knowledge Base Construction Powered By Crowdsourcing and Knowledge Base |
2018 |
SIGMOD |
4.7702194e-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 |
| 11,615 |
CONCIERGE: Improving Constrained Search Results by Data Melioration |
2020 |
VLDB |
4.1905499e-05 |
| 11,713 |
A Rating-Ranking Method for Crowdsourced Top-k Computation |
2018 |
SIGMOD |
4.1905499e-05 |
| 11,758 |
Worker Recommendation for Crowdsourced Q&A Services: A Triple-Factor Aware Approach |
2018 |
VLDB |
4.1905499e-05 |
| 11,796 |
CDB: Optimizing Queries with Crowd-Based Selections and Joins |
2017 |
SIGMOD |
4.1905499e-05 |
| 11,799 |
CrowdDQS: Dynamic Question Selection in Crowdsourcing Systems |
2017 |
SIGMOD |
4.1905499e-05 |
| 11,824 |
DOCS: Domain-Aware Crowdsourcing System |
2017 |
VLDB |
4.1905499e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 21 of 21 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 |
| 372 |
A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration |
2012 |
VLDB |
0.00025371138 |
| 442 |
Efficient Parallel Set-Similarity Joins Using MapReduce |
2010 |
SIGMOD |
0.00023095823 |
| 686 |
Pay-as-you-go User Feedback for Dataspace Systems |
2008 |
SIGMOD |
0.00018107664 |
| 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 |
| 906 |
Fusing Data with Correlations |
2014 |
SIGMOD |
0.00015420344 |
| 1,154 |
CrowdScreen: Algorithms for Filtering Data with Humans |
2012 |
SIGMOD |
0.00013616867 |
| 1,214 |
Truth Finding on the Deep Web: Is the Problem Solved? |
2013 |
VLDB |
0.00013246179 |
| 1,242 |
Question Selection for Crowd Entity Resolution |
2013 |
VLDB |
0.00013088272 |
| 1,396 |
Can We Beat the Prefix Filtering? An Adaptive Framework for Similarity Join and Search |
2012 |
SIGMOD |
0.00012215253 |
| 1,491 |
CDAS: A Crowdsourcing Data Analytics System |
2012 |
VLDB |
0.00011685731 |
| 2,177 |
A Sample-and-Clean Framework for Fast and Accurate Query Processing on Dirty Data |
2014 |
SIGMOD |
9.371335e-05 |
| 2,255 |
Counting with the Crowd |
2013 |
VLDB |
9.1846281e-05 |
| 2,814 |
Deco: A System for Declarative Crowdsourcing |
2012 |
VLDB |
8.0807229e-05 |
| 3,177 |
Evaluating Entity Resolution Results |
2010 |
VLDB |
7.4367336e-05 |
| 4,832 |
An Online Cost Sensitive Decision-Making Method in Crowdsourcing Systems |
2013 |
SIGMOD |
5.8883457e-05 |
| 5,080 |
Reducing Uncertainty of Schema Matching via Crowdsourcing |
2013 |
VLDB |
5.7081186e-05 |
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