DOCS: Domain-Aware Crowdsourcing System
Summary: Domain-aware crowdsourcing system for data management; models worker quality by domain using KBs (Wikipedia/Freebase). Domain Vector Estimation, domain-sensitive truth inference, and online task assignment; DOCS deployed on MTurk with strong gains over baselines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Yudian Zheng
- 2. Guoliang Li
- 3. Reynold Cheng
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,254 | CDB: A Crowd-Powered Database System | 2018 | VLDB | 5.5991922e-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 |
| 7,580 | Human-in-the-loop Outlier Detection | 2020 | SIGMOD | 4.7023767e-05 |
| 11,713 | A Rating-Ranking Method for Crowdsourced Top-k Computation | 2018 | SIGMOD | 4.1905499e-05 |
| 11,796 | CDB: Optimizing Queries with Crowd-Based Selections and Joins | 2017 | SIGMOD | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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