This paper presents a framework for modeling and optimizing max algorithms commonly used in crowdsourcing. The model allows tuning the number of human responses needed and the size of item sets to be compared for achieving a certain level of quality given time and budget constraints.
M. Yuen, L. Chen, and I. King. Proceedings of the International Conference on Computational Science and Engineering, CSE '09, 4, page 723--728. (August 2009)
V. Ambati, S. Vogel, and J. Carbonell. Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work, page 1191--1194. New York, NY, USA, ACM, (2012)
A. Kittur, B. Smus, S. Khamkar, and R. Kraut. Proceedings of the 24th annual ACM symposium on User interface software and technology, page 43--52. New York, NY, USA, ACM, (2011)
A. Kittur, B. Smus, S. Khamkar, and R. Kraut. Proceedings of the 24th annual ACM symposium on User interface software and technology, page 43--52. New York, NY, USA, ACM, (2011)
A. Marcus, E. Wu, S. Madden, and R. Miller. Proceedings of the 5th Biennial Conference on Innovative Data Systems Research, page 211--214. CIDR, (January 2011)
X. Chai, B. Vuong, A. Doan, and J. Naughton. Proceedings of the 35th SIGMOD international conference on Management of data, page 87--100. New York, NY, USA, ACM, (2009)
M. Ageev, Q. Guo, D. Lagun, and E. Agichtein. Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval, page 345--354. New York, NY, USA, ACM, (2011)
A. Quinn, and B. Bederson. Proceedings of the 2011 annual conference on Human factors in computing systems, page 1403--1412. New York, NY, USA, ACM, (2011)
Y. Li, A. Wen, Q. Lin, R. Li, and Z. Lu. Web-Age Information Management, volume 6897 of Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, (2011)