CDB: A Crowd-Powered Database System
Summary: CDB: crowd-powered DB with a graph-based, fine-grained tuple-level optimization model. Simultaneous cost, latency, and quality optimization; outperforms tree-based plans and enables real-world deployments for web table integration and entity collection. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Guoliang Li (Tsinghua University)
- 2. Chengliang Chai (Tsinghua University)
- 3. Ju Fan (Renmin University)
- 4. Xueping Weng (Tsinghua University)
- 5. Jian Li (Tsinghua University)
- 6. Yudian Zheng (Twitter)
- 7. Yuanbing Li (Tsinghua University)
- 8. Xiang Yu (Tsinghua University)
- 9. Xiaohang Zhang (Tsinghua University)
- 10. Haitao Yuan (Tsinghua University)
BibTeX Citation
@article{li_vldb18,
title = {{CDB: A Crowd-Powered Database System}},
author = {Li, Guoliang and Chai, Chengliang and Fan, Ju and Weng, Xueping and Li, Jian and Zheng, Yudian and Li, Yuanbing and Yu, Xiang and Zhang, Xiaohang and Yuan, Haitao},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {12},
pages = {1926--1929},
doi = {10.14778/3229863.3236226},
url = {https://doi.org/10.14778/3229863.3236226},
year = {2018}
}Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,343 | DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing | 2025 | VLDB | 0.00011095866 |
| 3,886 | GoodCore: Data-effective and Data-efficient Machine Learning through Coreset Selection over Incomplete Data | 2023 | SIGMOD | 7.0460597e-05 |
| 4,808 | Selective Data Acquisition in the Wild for Model Charging | 2022 | VLDB | 6.4991553e-05 |
| 5,730 | Domain Adaptation for Deep Entity Resolution | 2022 | SIGMOD | 6.1071585e-05 |
| 5,813 | Efficient Algorithms for Crowd-Aided Categorization | 2020 | VLDB | 6.0780519e-05 |
| 6,580 | Fluid: A Blockchain based Framework for Crowdsourcing | 2019 | SIGMOD | 5.8364579e-05 |
| 6,899 | Human-in-the-loop Outlier Detection | 2020 | SIGMOD | 5.7431609e-05 |
| 9,193 | Query-Guided Resolution in Uncertain Databases | 2023 | SIGMOD | 5.3058708e-05 |
| 11,211 | MisDetect: Iterative Mislabel Detection using Early Loss | 2024 | VLDB | 5.093636e-05 |
| 11,597 | ActivePDB: Active Probabilistic Databases | 2022 | VLDB | 5.093636e-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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 90 | CrowdDB: Answering Queries with Crowdsourcing | 2011 | SIGMOD | 0.00034951786 |
| 251 | Crowdsourced Databases: Query Processing with People | 2011 | CIDR | 0.00023261113 |
| 852 | Leveraging Transitive Relations for Crowdsourced Joins | 2013 | SIGMOD | 0.00013604253 |
| 3,231 | Truth Inference in Crowdsourcing: Is the Problem Solved? | 2017 | VLDB | 7.6191767e-05 |
| 3,904 | QASCA: A Quality-Aware Task Assignment System for Crowdsourcing Applications | 2015 | SIGMOD | 7.0304212e-05 |
| 4,538 | Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach | 2016 | SIGMOD | 6.6404776e-05 |
| 4,915 | Crowdsourced Top-k Algorithms: An Experimental Evaluation | 2016 | VLDB | 6.4477856e-05 |
| 9,401 | CDB: Optimizing Queries with Crowd-Based Selections and Joins | 2017 | SIGMOD | 5.2755515e-05 |
| 12,019 | DOCS: Domain-Aware Crowdsourcing System | 2017 | VLDB | 5.093636e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,548 | Query Optimization over Crowdsourced Data | 2013 | VLDB |
| 2 | 334 | An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning | 2019 | SIGMOD |
| 3 | 7,493 | Human-in-the-loop Data Integration | 2017 | VLDB |
| 4 | 7,357 | Crowdsourced Data Management: Overview and Challenges | 2017 | SIGMOD |
| 5 | 5,474 | CrowdQ: Crowdsourced Query Understanding | 2013 | CIDR |
| 6 | 5,343 | Crowdsourcing Applications and Platforms: A Data Management Perspective | 2011 | VLDB |
| 7 | 7,630 | Pushing the Boundaries of Crowd-enabled Databases with Query-driven Schema Expansion | 2012 | VLDB |
| 8 | 1,810 | CrowdDB: Query Processing with the VLDB Crowd | 2011 | VLDB |
| 9 | 90 | CrowdDB: Answering Queries with Crowdsourcing | 2011 | SIGMOD |
| 10 | 9,401 | CDB: Optimizing Queries with Crowd-Based Selections and Joins | 2017 | SIGMOD |