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Recommender Systems for Technology Enhanced Learning: Research Trends and Applic

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ISBN-10:

1493905295
Buchtitel:

Recommender Systems for Technology Enhanced Learni
Untertitel:

Research Trends and Applications
Höhe:

2.3 cm
Gewicht:

647 g
Länge:

24.1 cm
Breite:

16 cm
ISBN:

9781493905294
Produktart:

Lehrbuch
Format:

Gebundene Ausgabe
Erscheinungsjahr:

2014
Anzahl der Seiten:

320 Seiten
Autor:

Katrien Verbert, Hendrik Drachsler, Nikos Manouselis, Olga C. Santos
Verlag:

Springer Us, Springer New York
Publikationsname:

Recommender Systems For Technology Enhanced Learning
Sprache:

Englisch

Expressversand:

Sonstige (1 Werktag) kostenlos - Lieferung zwischen 26. May 2025 und 26. May 2025 (bei heutigem Zahlungseingang)
Versand nach:

Deutschland, Italien, Spanien, Österreich, Polen, Schweiz
Versand ausgeschlossen:

Afrika , Asien , Mittelamerika und Karibik , Naher Osten , Ozeanien , Südostasien , Südamerika , Bermuda , Grönland , Kanada , ... und weitere

Recommender Systems for Technology Enhanced Learning: Research Trends and Applic

Methodologies and Intelligent Systems for Technology Enhanced Learning Tania Di

Methodologies and Intelligent Systems for Technology Enhanced Learning Mauro Cap

Recommender Systems for Technology Enhanced Learning - 9781493946563

Methodologies and Intelligent Systems for Technology Enhanced Learning, 9th Inte

Technology Enhanced Learning for People with Disabilities: Approaches and Applic

Perspectives on Wearable Enhanced Learning (WELL): Current Trends, Research, and

Recommender Systems for Technology Enhanced Learning - 9781493905294

Scalable dimensionality reduction methods for recommender systems Micha¿ Ciesiel

Methodologies and Intelligent Systems for Technology Enhanced Learning Tania Di

Recommender Systems Charu C. Aggarwal

Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshop

Group Recommender Systems Alexander Felfernig

Learning Sentiment Lexicons with applications to Recommender Systems Filipa Pele

Technology-Enhanced Systems and Tools for Collaborative Learning Scaffolding Tha

Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshop

Active Learning for Recommender Systems Rasoul Karimi

Towards Metadata-Aware Algorithms for Recommender Systems Karen Tso-Sutter

Web personalized Recommender System for e-business Subhash K. Shinde

Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshop

Methodologies and Intelligent Systems for Technology Enhanced Learning, 10th Int

Recommender Systems for Technology Enhanced Learning: Research Trends and Applic

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