Recommender Systems for Learning

Recommender Systems for Learning

Sale price  $58.49 Regular price $64.99
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Recommender Systems for Learning

Recommender Systems for Learning

Sale price  $58.49 Regular price $64.99

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SpringerBriefs in Electrical and Computer Engineering

Recommender Systems for Learning

Nikos Manouselis | Hendrik Drachsler | Katrien Verbert | Erik Duval

Computers / Networking / General

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.

Publication Date: 28 August 2012
Publisher: Springer New York
Imprint: Springer
ISBN-13: 9781461443605
Format: Paperback softback
Page Count: 76

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