Hyunjung Park, Jennifer Widom

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations


CrowdFill is a system for collecting structured data from the crowd. Unlike a typical microtask-based approach, CrowdFill shows an entire partially-filled table to all participating workers; workers collaboratively complete the table by filling in empty cells, as well as upvoting and downvoting data entered by other workers, using CrowdFill's intuitive data entry interface. CrowdFill ensures data entry is leading to a final table that satisfies prespecified constraints, and its compensation scheme encourages workers to submit useful, high-quality work. We demonstrate how CrowdFill collects structured data from the crowd, from the perspective of a user as well as from the perspective of workers.
Original languageEnglish (US)
Title of host publicationProceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion
PublisherACM Press
Number of pages4
ISBN (Print)9781450327459
StatePublished - 2014
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2021-03-29
Acknowledgements: This work was supported by the NSF (IIS-0904497), the Boeing Corporation, and a KAUST research grant.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.


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