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Hettiachchi et al., 2022 - Google Patents

A survey on task assignment in crowdsourcing

Hettiachchi et al., 2022

View PDF
Document ID
507212244574884587
Author
Hettiachchi D
Kostakos V
Goncalves J
Publication year
Publication venue
ACM Computing Surveys (CSUR)

External Links

Snippet

Quality improvement methods are essential to gathering high-quality crowdsourced data, both for research and industry applications. A popular and broadly applicable method is task assignment that dynamically adjusts crowd workflow parameters. In this survey, we review …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06Q10/00—Administration; Management
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