Can readability enhance recommendations on community question answering sites?

Anuyah, Oghenemaro; Azpiazu, Ion Madrazo; McNeill, David; Pera, M.S.

Can readability enhance recommendations on community question answering sites?

Journal article (2017)

Authors

Oghenemaro Anuyah Boise State University

Ion Madrazo Azpiazu Boise State University

David McNeill Boise State University

M.S. Pera Boise State University

Affiliation

External organisation

Readability Recommender Community question answering

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Published Date

2017

Language

English

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Affiliation

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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.