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Recommender systems for technology enhanced learning: research trends and applications/
As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of individuals and organizations. Information retrieval is a pivotal activity in TEL and the deployment of recommender systems has attracted in...
その他の著者: | , , , |
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フォーマット: | Printed Book |
出版事項: |
New York:
Springer,
2014.
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主題: |
MG University
請求記号: |
371.33 Q4 |
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所蔵 | ステータス情報は利用できません |