Nikos Manouselis & Hendrik Drachsler 
Recommender Systems for Learning [PDF ebook] 

поддержка

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.

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Содержание

Introduction and Background.- TEL as a recommendation context.- Survey and Analysis of TEL Recommender Systems.- Challenges and Outlook.

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язык английский ● Формат PDF ● страницы 76 ● ISBN 9781461443612 ● Размер файла 1.4 MB ● издатель Springer New York ● город NY ● Страна US ● опубликованный 2012 ● Загружаемые 24 месяцы ● валюта EUR ● Код товара 2662743 ● Защита от копирования Социальный DRM

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