Adaptive questionnaire system based on Bayesian network

Abstract

In this study, we aim to find effective and personalized questions from a questionnaire that enable answerers clustering. We propose a question selection method based on a Bayesian network model that is constructed from probabilistic clustering results. We show that the gap between the accuracies of estimating cluster index of our method and the upper bound of them is very small.