Katalog der Deutschen Nationalbibliothek

Neuigkeiten Servicezeiten in Frankfurt am Main ab 1. Dezember 2025: Montag bis Freitag 9–18 Uhr und Samstag 10–16 Uhr
Service hours in Frankfurt am Main from 1 December 2025: Monday to Friday 9:00-18:00 and Saturday 10:00-16:00
 
Neuigkeiten Dienstag 9. Dezember 2025: Die Lesesäle der Deutschen Nationalbibliothek in Leipzig öffnen wegen einer Personalversammlung erst ab 13 Uhr. // Tuesday 9 December 2025: The reading rooms of the German National Library in Leipzig will open at 13:00 due to a staff assembly.
 
 
 


Ergebnis der Suche nach: tit all "Recommender systems survey"
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Artikel 1 A survey on popularity bias in recommender systems
Enthalten in User modeling and user adapted interaction 1.7.2024: 1-58
Online Ressource
Online Ressourcen 2 A survey on knowledge-aware news recommender systems
Iana, Andreea. - Mannheim : Universitätsbibliothek Mannheim, 2022
Online Ressource
Artikel 3 Considering temporal aspects in recommender systems: a survey
Enthalten in User modeling and user adapted interaction 4.7.2022: 1-39
Online Ressource
Artikel 4 Context-aware recommender systems and cultural heritage: a survey
Enthalten in Journal of ambient intelligence and humanized computing 19.8.2021: 1-19
Online Ressource
Online Ressourcen 5 Analysis of survey tools for recommender systems in the selection of ambient assisted living technologies
Shkilniuk, Yurii. - Reutlingen : Hochschule Reutlingen, 2020
Online Ressource
Artikel 6 Community detection in social recommender systems: a survey
Enthalten in Applied intelligence 25.11.2020: 1-21
Online Ressource
Artikel 7 A survey of attack detection approaches in collaborative filtering recommender systems
Enthalten in Artificial intelligence review 14.9.2020: 1-56
Online Ressource
Online Ressourcen 8 Survey of business process modeling recommender systems
Elkindy, Abdullah Imad Abdullah. - Koblenz : Universität Koblenz-Landau, 2019
Online Ressource
Artikel 9 A Comprehensive Survey on Travel Recommender Systems
Enthalten in Archives of computational methods in engineering 9.10.2019: 1-27
Online Ressource
Artikel 10 A survey on group recommender systems
Enthalten in Journal of intelligent information systems 3.1.2019: 1-25
Online Ressource


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