19 Questions

Just think of something a common person would know about, then I ask you questions and guess what it is.

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Background

19 Questions is a machine-learning game that finds out about things by playing games with users. The algorithm is based on Bayesian statistics, compared to other similar games use neural networks.

See also: notes on the the Bayesian/entropy approach and the GitHub project.

Statistics

Questions in knowledge base:564
Objects in knowledge base:3,878
Connections in knowledge base:231,619
Games played:16,016
New user-submitted objects:33
Total object entropy:11.61 bits