LDR | | 00000nam u2200205 4500 |
001 | | 000000432213 |
005 | | 20200224114955 |
008 | | 200131s2019 ||||||||||||||||| ||eng d |
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▼a 9781085608466 |
035 | |
▼a (MiAaPQ)AAI13896238 |
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▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
082 | 0 |
▼a 020 |
100 | 1 |
▼a Jonathan, Christopher. |
245 | 10 |
▼a Towards an Extensible Expert-Sourcing Platform. |
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▼a [S.l.]:
▼b University of Minnesota.,
▼c 2019. |
260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2019. |
300 | |
▼a 117 p. |
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▼a Source: Dissertations Abstracts International, Volume: 81-03, Section: A. |
500 | |
▼a Advisor: Mokbel, Mohamed F. |
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▼a Thesis (Ph.D.)--University of Minnesota, 2019. |
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▼a This item must not be sold to any third party vendors. |
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▼a In recent years, general purpose crowdsourcing platforms, e.g., Amazon Mechanical Turk, Figure Eight, and ChinaCrowds, have been gaining a lot of popularity due to their capability in solving tasks that are still difficult for machines or computers to solve, e.g., labeling data, sorting images, computing skyline over noisy data, and sentiment analysis. Unfortunately, current crowdsourcing platforms are lacking a very important feature that is desired by many of the recent crowdsourcing applications, namely, recruiting workers that are expert at a given task. Being able to recruit expert workers will allow those applications to not only achieve a more accurate results but also higher quality results than recruiting general crowd for the applications. We call such crowdsourcing process as expert-sourcing, i.e., outsourcing tasks to experts. Without having any platforms to support them, developers of each expert-sourcing application needs to build the whole crowdsourcing system stack from scratch while, in fact, those systems share many common components with each other. This thesis proposes Luna |
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▼a School code: 0130. |
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▼a Computer science. |
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▼a Information science. |
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▼a 0984 |
690 | |
▼a 0723 |
710 | 20 |
▼a University of Minnesota.
▼b Computer Science. |
773 | 0 |
▼t Dissertations Abstracts International
▼g 81-03A. |
773 | |
▼t Dissertation Abstract International |
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▼a 0130 |
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▼a Ph.D. |
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▼a 2019 |
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▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15491685
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
980 | |
▼a 202002
▼f 2020 |
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▼a ***1008102 |
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▼a E-BOOK |