Using Web 2.0 TO Design An English Article Recommendation System
- DOI
- 10.2991/erse.2013.77How to use a DOI?
- Keywords
- Web 2.0, Facebook, Recommendation System.
- Abstract
The spirit of Web 2.0 is through the collective power of communities to create, share and comment on the opinions of the user and others. The purpose of this study is to use the concept of Web 2.0 to design an English article recommendation system for senior high school students who are reading and learning. Five different databases of English vocabularies are utilized in this work. First, IWiLL, SHSETs and Web News Corpus are used for data pre-processing. Then they are combined with the GEPT level six to do article difficulty calculation. Lastly, phrases of three words in the article are compared with PyDict dictionary to translate into Chinese for learners to remember and learn. In this study, the system is combined with Facebook; learners only need to use a Facebook account to log on to the system with the use of Facebook Social Plugins components so that learners who like the article may share and recommend it to friends on Facebook.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Chung Chi Chen AU - Hwa Kuo Chin AU - Jui Yu Wen PY - 2013/08 DA - 2013/08 TI - Using Web 2.0 TO Design An English Article Recommendation System BT - Proceedings of the 2013 International Conference on Educational Research and Sports Education (ERSE 2013) PB - Atlantis Press SP - 271 EP - 274 SN - 1951-6851 UR - https://doi.org/10.2991/erse.2013.77 DO - 10.2991/erse.2013.77 ID - Chen2013/08 ER -