Recommender Systems for Learning. This item is unavailable.
Language: English
Published by Springer, 2012
Series: Book 25 of 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
- New
Seller: preigu, Osnabrück, Germanypreigu
AbeBooks seller since August 5, 2024
Condition: New
US$ 70.04
Item description from seller
Recommender Systems for Learning | Nikos Manouselis (u. a.) | Taschenbuch | SpringerBriefs in Electrical and Computer Engineering | xi | Englisch | 2012 | Springer | EAN 9781461443605 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Seller Inventory # 106484082
- Title
- Recommender Systems for Learning
- Author
- Nikos Manouselis (u. a.)
- Publisher
- Springer
- Publication year
- 2012
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1461443601
- ISBN 13
- 9781461443605
- Item weight
- 149 grams
- Dimensions
- 235 x 155 x 6 mm
- Series
- Book 25 of 209: SpringerBriefs in Electrical and Computer Engineering
- Seller catalogs
- Bücher
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.