Proposal of grade training method for quality improvement in microtask crowdsourcing-Reference-Cited by-同舟云学术

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Proposal of grade training method for quality improvement in microtask crowdsourcing

Published:2019-12-02 Issue:4 Volume:17 Page:313-326
ISSN:2405-6464
Container-title:Web Intelligence
language:
Short-container-title:WEB

Author:

Ashikawa Masayuki¹,Kawamura Takahiro²,Ohsuga Akihiko²

Affiliation:

1. Toshiba Digital Solutions Corporation, Tokyo 183-8512, Japan. E-mail: masayuki.ashikawa@toshiba.co.jp

2. Graduate School of Information Systems, The University of Electro-Communications, Tokyo 182-8585, Japan. E-mails: kawamura@ohsuga.is.uec.ac.jp, ohsuga@uec.ac.jp

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Networks and Communications,Software

Reference28 articles.

1. Designing games with a purpose;Ahn;Communications of the ACM,2008

2. Bayesian networks: A teacher’s view;Almond;International Journal of Approximate Reasoning,2009

3. M. Ashikawa, T. Kawamura and A. Ohsuga, Deployment of private crowdsourcing system with quality control methods, in: 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), pp. 9–16, 2015.

4. Y. Bachrach, How to grade a test without knowing the answers – A Bayesian graphical model for adaptive crowdsourcing and aptitude testing, in: International Conference on Machine Learning, pp. 1183–1190, 2012.

5. J. Bragg and D.S. Weld, Crowdsourcing multi-label classification for taxonomy creation, in: First AAAI Conference on Human Computation and Crowdsourcing, 2013.

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