Recommender Systems for Learning

Nikos Manouselis

ISBN 10: 1461443601 / ISBN 13: 9781461443605

Verlag: Springer New York, Springer US, 2012

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - 1.

Bestandsnummer des Verkäufers 9781461443605

Bibliografische Details

• Titel: Recommender Systems for Learning
• Verlag: Springer New York, Springer US
• Erscheinungsjahr: 2012
• Sprache: Englisch
• ISBN-10: 1461443601
• ISBN-13: 9781461443605
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 235B x 155 H x 6 T Millimeter Breite: 235 mm, Höhe: 155 mm, Tiefe: 6 mm
• Gewicht: 149 Gramm

Über diesen Titel

Inhaltsangabe

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.