Can Readability Enhance Recommendations on Community Question Answering Sites?
Oghenemaro Anuyah, Ion Madrazo Azpiazu, David McNeill, Maria Soledad Pera. 2017. “Can Readability Enhance Recommendations on Community Question Answering Sites?”. In Proceedings of the 11th ACM Conference on Recommender Systems (RecSys 2017 Poster Proceedings).
Abstract
We present an initial examination on the impact text complexity has when incorporated into the recommendation process in community question answering sites. We use Read2Vec, a readability assessment tool designed to measure the readability level of short documents, to inform a traditional content-based recommendation strategy. The results highlight the benefits of incorporating readability information in this process.