Kids Library Home

Welcome to the Kids' Library!

Search for books, movies, music, magazines, and more.

     
Available items only
E-Books/E-Docs

Title Recommender systems for learning / Nikos Manouselis [and others].

Imprint New York : Springer, ©2013.

Copies

Location Call No. OPAC Message Status
 Axe Books 24x7 IT E-Book  Electronic Book    ---  Available
Description 1 online resource (76 pages).
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
Series SpringerBriefs in electrical and computer engineering, 2191-8120
SpringerBriefs in electrical and computer engineering.
Bibliography Includes bibliographical references.
Contents Introduction and Background -- TEL as a Recommendation Context -- Survey and Analysis of TEL Recommender Systems -- Challenges and Outlook.
Note Print version record.
Summary 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.
Subject Recommender systems (Information filtering)
Educational technology.
COMPUTERS -- Optical Data Processing.
Ingénierie.
Educational technology. (OCoLC)fst00903623
Recommender systems (Information filtering) (OCoLC)fst01743365
Empfehlungssystem
Kollaborative Filterung
Indexed Term Computer science.
Information Systems and Communication Service.
Education (general)
Genre/Form Electronic books.
Added Author Manouselis, Nikos.
Other Form: Print version: Recommender systems for learning. New York : Springer, ©2013 9781461443605 (OCoLC)793571937
ISBN 9781461443612 (electronic bk.)
146144361X (electronic bk.)
9781283611749
1283611740
9781461443605 (paper)
1461443601 (paper)
Standard No. 10.1007/978-1-4614-4361-2 doi
AU@ 000050182790
DEBSZ 397345798
NLGGC 356961729
NZ1 14695859
NZ1 15747123

 
    
Available items only