manouselis nikos (15 Ergebnisse)

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.

Paperback. Zustand: Brand New. 1st edition. 343 pages. 9.30x6.00x0.80 inches. In Stock.

Paperback. Zustand: Brand New. 90 pages. 9.00x6.00x0.20 inches. In Stock.

Zustand: New. Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that support and enhance learning practices of individuals and organisations. This brief offers an introduction to recommender systems for TEL settings. It highlights their particularities compared to recommender systems for other application domains. Series: SpringerBriefs in Electrical and Computer Engineering. Num Pages: 87 pages, 4 black & white illustrations, 10 black & white tables, biography. BIC Classification: JNV. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 4. Weight in Grams: 148. . 2012. Paperback. . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume collects the papers selected for presentation at the Third Inter- tional Conference on Metadata and Semantic Research (MTSR 2009), held in Milan at the University of Milano Bicocca (October 1-2, 2009). Metadataandsemanticresearchistodayagrowingcomplexsetofconceptual, theoretical, methodological, and technological frameworks, o ering innovative computational solutions in the design and development of computer based s- tems.Fromthis perspective,researchersworkinginthisareamusttackleabroad range of issues on methods, results, and solutions coming from di erent classic areas of this discipline. The conference has been designed as a forum allowing researchers to present and discuss specialized results as general contributions to the eld. In order to give a novelperspective in which both theoreticaland application aspects of metadata research contribute in the growth of the area, this book mirrors the structure of the conference, grouping the papers into three main categories: (1) Theoretical Research: Results and Proposals; (2) Applications: Case Studies and Proposals; (3) Special Track: Metadata and Semantics for Agriculture,FoodandEnvironment.Thebookcontains31fullpapers(10forthe rstcategory,10forthesecondand12forthethird),selectedfromapre liminary initial set of about 70 submissions. Many people contributed to the success of the conference and the creation of this volume, from the initial idea to its implementation. Our rst ackno- edgement is to the members of the Steering Commitee, GeorgeBokosand David Raitt. We would also like to thank all Program Committee members and - viewers for their collaboration. Special thanks to Carlo Batini, on behalf of the DepartmentofComputerScience,SystemsandCommunicationoftheUniversity of Milan Bicocca, who kindly hosted our conference.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 1.

Paperback. Zustand: Brand New. reprint edition. 320 pages. 9.25x6.10x0.71 inches. In Stock.

Hardcover. Zustand: 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.

Hardcover. Zustand: Brand New. 320 pages. 9.50x6.25x0.75 inches. In Stock.

Taschenbuch. Zustand: 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.

Buch. Zustand: 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.

Zustand: New. Recommender Systems for Technology Enhanced Learning Editor(s): Manouselis, Nikos; Drachsler, Hendrik; Verbert, Katrien; Santos, Olga C. Num Pages: 320 pages, 67 black & white illustrations, 30 black & white tables, biography. BIC Classification: JNV; UYQ. Category: (P) Professional & Vocational. Dimension: 241 x 163 x 22. Weight in Grams: 620. . 2014. 2014th Edition. Hardcover. . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 320 | Sprache: Englisch | Produktart: Bücher | 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.