Presentation 2016-01-15
Estimating Skills of Crowd Workers Based on Awarded Contracts
Shogo Ito, Donghui Lin, Toru Ishida,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Worker selection is an important issue in crowdsourcing. In most crowdsourcing systems, reputation score is an essential indicator for requesters to make decisions when hiring workers. This reputation score is always calculated based on mutual feedbacks between requesters and workers after a task is completed. However, it is reported that the reputation in crowdsourcing platforms is skewed towards a high score because workers and requesters are afraid of retaliation if sending bad feedbacks. In this research, we propose SkillRating, a method to estimate skills of workers based on awarded contracts as a reference for selecting workers for requesters. Moreover, we evaluate our proposed approach by using real data of a crowdsourcing system.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Crowdsourcing / relevance of skill / reputation system / rating
Paper # SC2015-18
Date of Issue 2016-01-08 (SC)

Conference Information
Committee SC
Conference Date 2016/1/15(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Kyoto University (Design Innovation Center)
Topics (in Japanese) (See Japanese page)
Topics (in English) Cloud, IoT, and Service Innovation
Chair Shigeru Hosono(NEC)
Vice Chair Incheon Paik(Univ. of Aizu)
Secretary Incheon Paik(NICT)
Assistant

Paper Information
Registration To Technical Committee on Service Computing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Estimating Skills of Crowd Workers Based on Awarded Contracts
Sub Title (in English)
Keyword(1) Crowdsourcing
Keyword(2) relevance of skill
Keyword(3) reputation system
Keyword(4) rating
1st Author's Name Shogo Ito
1st Author's Affiliation Kyoto University(Kyoto Univ.)
2nd Author's Name Donghui Lin
2nd Author's Affiliation Kyoto University(Kyoto Univ.)
3rd Author's Name Toru Ishida
3rd Author's Affiliation Kyoto University(Kyoto Univ.)
Date 2016-01-15
Paper # SC2015-18
Volume (vol) vol.115
Number (no) SC-393
Page pp.pp.19-24(SC),
#Pages 6
Date of Issue 2016-01-08 (SC)