Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7530
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dc.contributor.authorDr. YUEN Man-Ching, Connieen_US
dc.contributor.authorKing, Irwinen_US
dc.contributor.authorProf. LEUNG Kwong Saken_US
dc.date.accessioned2023-03-22T07:24:54Z-
dc.date.available2023-03-22T07:24:54Z-
dc.date.issued2011-
dc.identifier.citationProceedings - 2011 IEEE International Conference on Privacy, Security, Risk and Trust and IEEE International Conference on Social Computing, PASSAT/SocialCom 2011, pp. 766 - 7732011en_US
dc.identifier.isbn978-076954578-3-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/7530-
dc.description.abstractCrowdsourcing is evolving as a distributed problemsolving and business production model in recent years. In crowdsourcing paradigm, tasks are distributed to networked people to complete such that a company's production cost can be greatly reduced. In 2003, Luis von Ahn and his colleagues pioneered the concept of "human computation", which utilizes human abilities to perform computation tasks that are difficult for computers to process. Later, the term "crowdsourcing" was coined by Jeff Howe in 2006. Since then, a lot of work in crowdsourcing has focused on different aspects of crowdsourcing, such as computational techniques and performance analysis. In this paper, we give a survey on the literature on crowdsourcing which are categorized according to their applications, algorithms, performances and datasets. This paper provides a structured view of the research on crowdsourcing to date. © 2011 IEEE.en_US
dc.language.isoenen_US
dc.titleA survey of crowdsourcing systemsen_US
dc.typeConference Paperen_US
dc.relation.conference2011 IEEE International Conference on Privacy, Security, Risk and Trust and IEEE International Conference on Social Computing, PASSAT/SocialCom 2011en_US
dc.identifier.doi10.1109/PASSAT/SocialCom.2011.36-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Applied Data Science-
Appears in Collections:Applied Data Science - Publication
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