DataSift: A Crowd-Powered Search Toolkit
Summary: Crowd-powered search toolkit DataSift over any corpus via a keyword API enables handling non-textual, long, subjective, or semantic queries. Querying image/video/product search with playback and side-by-side comparisons to traditional retrieval. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Aditya Parameswaran (Stanford University; University of Illinois Urbana-Champaign)
- 2. Ming Han Teh (Stanford University)
- 3. Hector Garcia-Molina (Stanford University)
- 4. Jennifer Widom (Stanford University)
BibTeX Citation
@inproceedings{parameswaran_sigmod14,
title = {{DataSift: A Crowd-Powered Search Toolkit}},
author = {Parameswaran, Aditya and Teh, Ming Han and Garcia-Molina, Hector and Widom, Jennifer},
series = {{SIGMOD} '14},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2588555.2594510},
url = {https://dl.acm.org/doi/10.1145/2588555.2594510},
year = {2014}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,021 | Budget Constrained Interactive Search for Multiple Targets | 2021 | VLDB | 5.7242766e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 997 | CrowdScreen: Algorithms for Filtering Data with Humans | 2012 | SIGMOD | 0.00012755983 |
| 5,474 | CrowdQ: Crowdsourced Query Understanding | 2013 | CIDR | 6.2054029e-05 |
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