Can Readability Enhance Recommendations on Community Question Answering Sites?

نویسندگان

  • Oghenemaro Anuyah
  • Ion Madrazo Azpiazu
  • David McNeill
  • Maria Soledad Pera
چکیده

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.

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تاریخ انتشار 2017