A Preliminary Study of the Number of Votes under Majority Rule in Crowdsourcing | Zendy

Yuki Okubo | Zendy; Teruaki Kitasuka | Zendy; Masayoshi Aritsugi | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A Preliminary Study of the Number of Votes under Majority Rule in Crowdsourcing

Author(s) -

Yuki Okubo,

Teruaki Kitasuka,

Masayoshi Aritsugi

Publication year - 2013

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2013.09.133

Subject(s) - crowdsourcing , computer science , focus (optics) , majority rule , latency (audio) , data science , machine learning , data mining , artificial intelligence , world wide web , telecommunications , physics , optics

We focus on the majority rule in crowdsourcing in this paper. One of the problems that concern crowdsourcing is how to reduce the number of votes for reducing the necessary cost and latency in obtaining results. In this paper, we attempt to reduce the number of votes while we obtain almost the same results with full votes. To accomplish this goal, we record the percentage of correct answers that each human worker provided. We report a preliminary study of making use of the records for reducing the number of votes with synthetic data and workers, and we discuss future directions

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research