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.
| Original language | English |
|---|---|
| Journal | CEUR Workshop Proceedings |
| Volume | 1905 |
| Publication status | Published - 2017 |
| Externally published | Yes |
| Event | 2017 Poster Track of the 11th ACM Conference on Recommender Systems, Poster-Recsys 2017 - Como, Italy Duration: 28 Aug 2017 → 28 Aug 2017 |
Keywords
- Community question answering
- Readability
- Recommender