113 citations · 114 across the 2 of their papers we have counts for
2 papers
cs.AI2015★ 1 cited
Time-Sensitive Bayesian Information Aggregation for Crowdsourcing Systems
Matteo Venanzi, John Guiver, Pushmeet Kohli +1
Crowdsourcing systems commonly face the problem of aggregating multiple judgments provided by potentially unreliable workers. In addition, several aspects of the design of efficien…
cs.LG2012★ 113 cited
How To Grade a Test Without Knowing the Answers --- A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing
Yoram Bachrach, Thore Graepel, Tom Minka +1
We propose a new probabilistic graphical model that jointly models the difficulties of questions, the abilities of participants and the correct answers to questions in aptitude tes…