Query Optimization over Crowdsourced Data
Summary: Deco's cost-based optimizer handles queries over stored data plus crowdsourced data, with a cost model separating free from paid data. It introduces a state-aware cardinality estimator and a plan-enumeration method that maximizes subplan reuse; experiments report cost accuracy and reuse efficiency. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Hyunjung Park (Stanford University)
- 2. Jennifer Widom (Stanford University)
BibTeX Citation
@article{park_vldb13,
title = {{Query Optimization over Crowdsourced Data}},
author = {Park, Hyunjung and Widom, Jennifer},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {10},
pages = {781--792},
doi = {10.14778/2733004.2733006},
url = {https://doi.org/10.14778/2733004.2733006},
year = {2013}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,654 | Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services | 2017 | SIGMOD | 9.9739611e-05 |
| 4,623 | Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach | 2016 | SIGMOD | 6.4978811e-05 |
| 8,137 | Where To: Crowd-Aided Path Selection | 2014 | VLDB | 5.3924339e-05 |
| 9,583 | CDB: Optimizing Queries with Crowd-Based Selections and Joins | 2017 | SIGMOD | 5.1571823e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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