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Crowdsourcing Applications and Platforms: A Data Management Perspective

Summary: Data-management view of crowdsourcing; platforms and deployments, focusing on large-scale human-in-the-loop for data tasks. Outlines paths for systems, semantics, and UI; discusses quality, cost, privacy, and social issues to guide DB researchers. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10240
Venue
VLDB
Year
2011
Pagerank
5.5003491e-05
Overall Rank
5,450 | 62.09%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
3,100 Crowd Mining 2013 SIGMOD 7.5634778e-05
5,029 Crowdsourced Top-k Queries by Confidence-Aware Pairwise Judgments 2017 SIGMOD 5.7502622e-05
7,117 Crowdsourced Data Management: Overview and Challenges 2017 SIGMOD 4.826509e-05
11,810 A Confidence-Aware Top-k Query Processing Toolkit on Crowdsourcing 2017 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

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