Predicting Clicks in a Vocabulary Learning System

Aaron Michelony
UC Santa Cruz


Abstract

We consider the problem of predicting which words a student will click in a vocabulary learning system. This paper presents an automated way of highlighting words likely to be unknown to the specific user. We present related work in search engine ranking, a description of the study used to collect click data, the experiment we performed using the random forest machine learning algorithm and finish with a discussion of future work.




Full paper: http://www.aclweb.org/anthology/P/P11/P11-1117.pdf