Question Difficulty Estimation in Community Question Answering Services
Jing Liu, Quan Wang, Chin-Yew Lin, Hsiao-Wuen Hon · 2013
In this paper, we address the problem of estimating question difficulty in community question answering services.We propose a competition-based model for estimating question difficulty by leveraging pairwise comparisons between questions and users.Our experimental results show that our model significantly outperforms a PageRank-based approach.Most importantly, our analysis shows that the text of question descriptions reflects the question difficulty.This implies the possibility of predicting question difficulty from the text of question descriptions.