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Active Learning for Recommender Systems.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Karimi, Rasoul
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Göttingen : Cuvillier Verlag, 2014.
Temas:
Acceso en línea:Texto completo

MARC

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049 |a UAMI 
100 1 |a Karimi, Rasoul. 
245 1 0 |a Active Learning for Recommender Systems. 
260 |a Göttingen :  |b Cuvillier Verlag,  |c 2014. 
300 |a 1 online resource (153 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
588 0 |a Print version record. 
505 0 |a Acknowledgements; Abstract; Contents; List of Figures; List of Tables; Notation; Abbreviation; Chapter 1 Introduction; Chapter 2 Problem Definition; Chapter 3 Background; Chapter 4 Related Work; Chapter 5 Active Learning for Aspect Model; Chapter 6 Active Learning for Matrix Factorization; Chapter 7 Factorized Decision Trees; Chapter 8 Learning Active Learning; Chapter 9 Active Learning for Museum Recommender Systems; Chapter 10 Conclusion; Index; References. 
504 |a Includes bibliographical references and index. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Machine learning. 
650 0 |a Recommender systems. 
650 6 |a Apprentissage automatique. 
650 7 |a Machine learning  |2 fast 
758 |i has work:  |a Active learning for recommender systems (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCFVrYfxxHq3dwkByVB7wfm  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Karimi, Rasoul.  |t Active Learning for Recommender Systems.  |d Göttingen : Cuvillier Verlag, ©2014  |z 9783954046928 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=5023267  |z Texto completo 
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