| 書目名稱 | Recommender Systems for Learning |
| 編輯 | Nikos Manouselis,Hendrik Drachsler,Erik Duval |
| 視頻video | http://file.papertrans.cn/825/824127/824127.mp4 |
| 概述 | Includes supplementary material: |
| 叢書名稱 | SpringerBriefs in Electrical and Computer Engineering |
| 圖書封面 |  |
| 描述 | Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individuals and organisations. It is therefore an application domain that generally covers technologies that support all forms of teaching and learning activities. Since information retrieval (in terms of searching for relevant learning resources to support teachers or learners) is a pivotal activity in TEL, the deployment of recommender systems has attracted increased interest. This brief attempts to provide an introduction to recommender systems for TEL settings, as well as to highlight their particularities compared to recommender systems for other application domains. |
| 出版日期 | Book 2013 |
| 關鍵詞 | Recommender systems; TEL datasets; personalization; recommendation algorithms; technology enhanced learn |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4614-4361-2 |
| isbn_softcover | 978-1-4614-4360-5 |
| isbn_ebook | 978-1-4614-4361-2Series ISSN 2191-8112 Series E-ISSN 2191-8120 |
| issn_series | 2191-8112 |
| copyright | The Author(s) 2013 |
|Archiver|手機版|小黑屋|
派博傳思國際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-6 19:44
發(fā)表于 2025-3-21 16:37:54
