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Recommender Systems Learning by Manouselis Nikos (55 results)
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Recommender Systems for Technology Enhanced Learning. Research Trends and Applications.
Language: English
Published by New York, NY ; s.l., Springer New York/Imprint: Springer., 2014
ISBN 10: 1493946560 ISBN 13: 9781493946563
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 5 out of 5 stars
ed. 2014. XIV, 306 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stemped. Sprache: Englisch.
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Recommender Systems for Learning (Paperback)
Book 25 of 209: SpringerBriefs in Electrical and Computer EngineeringLanguage: English
Published by Springer-Verlag New York Inc., New York, NY, 2012
ISBN 10: 1461443601 ISBN 13: 9781461443605
Paperback. Condition: new. Paperback. 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. Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individuals and organisations. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condition: As New. Unread book in perfect condition.
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Recommender Systems for Learning (SpringerBriefs in Electrical and Computer Engineering)
Book 25 of 209: SpringerBriefs in Electrical and Computer EngineeringSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 57.99
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Recommender Systems for Learning
Book 25 of 209: SpringerBriefs in Electrical and Computer EngineeringSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Recommender Systems for Learning
Book 25 of 209: SpringerBriefs in Electrical and Computer EngineeringSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Recommender Systems for Learning
Book 25 of 209: SpringerBriefs in Electrical and Computer EngineeringLanguage: English
Published by Springer-Verlag New York Inc, 2012
ISBN 10: 1461443601 ISBN 13: 9781461443605
Paperback. Condition: Brand New. 90 pages. 9.00x6.00x0.20 inches. In Stock.
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Condition: As New. Unread book in perfect condition.
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Recommender Systems for Technology Enhanced Learning (Hardcover)
Language: English
Published by Springer-Verlag New York Inc., New York, 2014
ISBN 10: 1493905295 ISBN 13: 9781493905294
Hardcover. Condition: new. Hardcover. 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 increased interest during the past years.Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. The goal is to develop, deploy and evaluate systems that provide learners and teachers with meaningful guidance in order to help identify suitable learning resources from a potentially overwhelming variety of choices.Contributions address the following topics: i) user and item data that can be used to support learning recommendation systems and scenarios, ii) innovative methods and techniques for recommendation purposes in educational settings and iii) examples of educational platforms and tools where recommendations are incorporated. Recommender Systems for Technology Enhanced Learning Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Recommender Systems for Technology Enhanced Learning: Research Trends and Applications
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 94.30
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Recommender Systems for Technology Enhanced Learning: Research Trends and Applications
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 94.30
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Recommender Systems for Technology Enhanced Learning (Paperback)
Language: English
Published by Springer-Verlag New York Inc., New York, 2016
ISBN 10: 1493946560 ISBN 13: 9781493946563
Paperback. Condition: new. Paperback. 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 increased interest during the past years.Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. The goal is to develop, deploy and evaluate systems that provide learners and teachers with meaningful guidance in order to help identify suitable learning resources from a potentially overwhelming variety of choices.Contributions address the following topics: i) user and item data that can be used to support learning recommendation systems and scenarios, ii) innovative methods and techniques for recommendation purposes in educational settings and iii) examples of educational platforms and tools where recommendations are incorporated. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Recommender Systems for Learning
Book 25 of 209: SpringerBriefs in Electrical and Computer EngineeringLanguage: English
Published by Springer New York, Springer US, 2012
ISBN 10: 1461443601 ISBN 13: 9781461443605
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 1.
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Recommender Systems for Technology Enhanced Learning : Research Trends and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: New. pp. 306.
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Condition: New. pp. 322.
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Recommender Systems for Learning (Paperback)
Book 25 of 209: SpringerBriefs in Electrical and Computer EngineeringLanguage: English
Published by Springer-Verlag New York Inc., New York, NY, 2012
ISBN 10: 1461443601 ISBN 13: 9781461443605
Paperback. Condition: new. Paperback. 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. Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individuals and organisations. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Recommender Systems for Technology Enhanced Learning: Research Trends and Applications
Language: English
Published by Springer-Verlag New York Inc, 2016
ISBN 10: 1493946560 ISBN 13: 9781493946563
Paperback. Condition: Brand New. reprint edition. 320 pages. 9.25x6.10x0.71 inches. In Stock.
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Hardcover. Condition: Neu. Neu Neuware, auf Lager - 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 increased interest during the past years.Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. The goal is to develop, deploy and evaluate systems that provide learners and teachers with meaningful guidance in order to help identify suitable learning resources from a potentially overwhelming variety of choices.Contributions address the following topics: i) user and item data that can be used to support learning recommendation systems and scenarios, ii) innovative methods and techniques for recommendation purposes in educational settings and iii) examples of educational platforms and tools where recommendations are incorporated.
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Hardcover. Condition: Brand New. 320 pages. 9.50x6.25x0.75 inches. In Stock.
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Recommender Systems for Technology Enhanced Learning
Language: English
Published by Springer New York, Springer US Sep 2016, 2016
ISBN 10: 1493946560 ISBN 13: 9781493946563
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -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 increased interest during the past years.Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. The goal is to develop, deploy and evaluate systems that provide learners and teachers with meaningful guidance in order to help identify suitable learning resources from a potentially overwhelming variety of choices.Contributions address the following topics: i) user and item data that can be used to support learning recommendation systems and scenarios, ii) innovative methods and techniques for recommendation purposes in educational settings and iii) examples of educational platforms and tools where recommendations are incorporated.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 320 pp. Englisch.
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Recommender Systems for Technology Enhanced Learning
Language: English
Published by Springer New York, Springer US Apr 2014, 2014
ISBN 10: 1493905295 ISBN 13: 9781493905294
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Neuware -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 increased interest during the past years.Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. The goal is to develop, deploy and evaluate systems that provide learners and teachers with meaningful guidance in order to help identify suitable learning resources from a potentially overwhelming variety of choices.Contributions address the following topics: i) user and item data that can be used to support learning recommendation systems and scenarios, ii) innovative methods and techniques for recommendation purposes in educational settings and iii) examples of educational platforms and tools where recommendations are incorporated.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 320 pp. Englisch.
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Recommender Systems for Technology Enhanced Learning : Research Trends and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 136.99
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
