Recommender Systems for Learning Recommender Systems for Learning

Recommender Systems for Learning

Nikos Manouselis và các tác giả khác
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Lời Giới Thiệu Của Nhà Xuất Bản

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.

THỂ LOẠI
Máy Vi Tính & Internet
ĐÃ PHÁT HÀNH
2012
28 tháng 8
NGÔN NGỮ
EN
Tiếng Anh
ĐỘ DÀI
87
Trang
NHÀ XUẤT BẢN
Springer New York
NGƯỜI BÁN
Springer Nature B.V.
KÍCH THƯỚC
1
Mb
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