University of Cambridge > Talks.cam > Cambridge Psychometrics Centre Seminars > Aggregating Minds

Aggregating Minds

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Luning Sun.

How can we combine crowds of people into one giant mind in order to solve a problem at hand? Given many individual opinions regarding a question, how can we identify both the correct answer and the strongest members of the crowd? Crowdsourced solutions to various problems have proven to be of extremely high quality in many business situations. However, in many such situations, finding the best solution is equivalent to grading the tests of several students, without knowing the correct answers to the questions. I will show how machine learning techniques based on item-response theory can overcome this problem, and discuss some applications of this model.

This talk is part of the Cambridge Psychometrics Centre Seminars series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity