Recommender Systems for Learning Recommender Systems for Learning

Recommender Systems for Learning

Nikos Manouselis 및 다른 저자
    • US$49.99
    • US$49.99

출판사 설명

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.

장르
컴퓨터 및 인터넷
출시일
2012년
8월 28일
언어
EN
영어
길이
87
페이지
출판사
Springer New York
판매자
Springer Nature B.V.
크기
1
MB
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