CrowdFill: Collecting Structured Data from the Crowd
Summary: CrowdFill presents a partially-filled table to workers; they fill cells and upvote/downvote others. A latency-aware synchronization model minimizes latency; it supports constraints, inconsistency handling, and contribution-based compensation. (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
@inproceedings{park_sigmod14,
title = {{CrowdFill: Collecting Structured Data from the Crowd}},
author = {Park, Hyunjung and Widom, Jennifer},
series = {{SIGMOD} '14},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2588555.2610503},
url = {https://dl.acm.org/doi/10.1145/2588555.2610503},
year = {2014}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 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 |
| 250 | Answering Queries using Humans, Algorithms and Databases | 2011 | CIDR | 0.00023261164 |
| 2,715 | Concurrency Control in Groupware Systems | 1989 | SIGMOD | 8.2110866e-05 |
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