Login New user?  
01-Applied Mathematics & Information Sciences
An International Journal


Volumes > Volume 9 > No. 2L


A Quality Enhancement of Crowdsourcing based on Quality Evaluation and User-Level Task Assignment Framework

PP: 423-430
Sooyoung Lee, Kangsoo Jung, Seog Park,
Crowdsourcing has recently been used in various applications, and the possibility of its utilization and importance is expected to increase continuously in the future. However, crowdsourcing cannot ensure the precision of the results because it is performed by unspecified individuals who cannot guarantee the quality of results. In particular, a more sophisticated task that has complex problems is harder to get an accurate result. In this paper, we propose a novel framework to improve the quality of work in a crowdsourcing environment. We analyze the characteristics of workers and allocate the appropriate task to workers to improve the quality of results. We propose a cumulative voting for correct assessment instead of the majority representation method which is more commonly used. Our experiments show that proposed framework improves quality of results by effective work allocation and quality analysis.

  Home   About us   News   Journals   Conferences Contact us Copyright naturalspublishing.com. All Rights Reserved