
I also read the paper, Towards Predicting the Best Answers in Community-Based Question-Answer Services. It addressed the problem of predicting if an answer may be selected as the "best" answer, based on learning from labeled data. The contributions of this paper that will be interesting for our CREU work are the designed features that measure key aspects of an answer and the features that heavily influence whether an answer is the "best" answer. They concluded that the best answer is usually the one with more details and comments and the one that is most different than the others. We would like to predict the best answer on StackOverflow documents using eye-tracking features, so this is a beneficial paper to read towards that goal.
Finally, I finished the second revisions for the paper we submitted to the YSU Honors College Journal about the work we performed in the CREU 2015-2016 program. I also created tags I though were approriate for the StackOverflow questions we will be using for our study.
No comments:
Post a Comment