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"
im Bestand: Gesamter Bestand

1 - 10 von 197
<< < > >>


Online Ressourcen 1 Automating Recommender Systems: Advances in Algorithm Selection, Evaluation, and Sustainability
Wegmeth, Lukas. - Siegen : Universitätsbibliothek der Universität Siegen, 2025
Online Ressource
Online Ressourcen 2 Collaborative filtering recommender systems
Schmidtke, Marcel. - Jena : Friedrich-Schiller-Universität Jena, 2025
Online Ressource
Online Ressourcen 3 Conception of a security design pattern catalog for constraint-based recommender systems
Lammers, Dominik. - Aachen : Universitätsbibliothek der RWTH Aachen, 2025
Online Ressource
Online Ressourcen 4 Explained, yet misunderstood: How AI Literacy shapes HR Managers' interpretation of User Interfaces in Recruiting Recommender Systems
Kalff, Yannick. - Berlin : Hochschule für Technik und Wirtschaft Berlin, 2025
Online Ressource
Online Ressourcen 5 Information Needs in the Everyday Usage of Video Social Recommender Systems
Weber, Jan Raoul. - Berlin : Humboldt-Universität zu Berlin, 2025
Online Ressource
Online Ressourcen 6 Integrating Learning Context and Explainability in Educational Recommender Systems Using Markov Decision Process over Knowledge Graphs
Abu Rasheed, Hasan. - Siegen : Universitätsbibliothek der Universität Siegen, 2025
Online Ressource
Online Ressourcen 7 Meta-Intents: Interaction Preferences in Conversational Recommender Systems
Ma, Yuan. - Duisburg : Universität Duisburg-Essen, 2025
Online Ressource
Online Ressourcen 8 Supporting Knowledge Workers through Personal Information Assistance with Context-aware Recommender Systems
Bakhshizadeh, Mahta. - Kaiserslautern-Landau : Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, 2025
Online Ressource
Artikel 9 Overcoming the cold-start challenge in recommender systems: A novel two-stage framework
Enthalten in Open computer science Bd. 15, 2025, Nr. 1. 17 S.
Online Ressource
Artikel 10 An Exploratory Study on Information Cocoon in Recommender Systems
Enthalten in Data science and engineering 19.5.2025: 1-20
Online Ressource


1 - 10 von 197
<< < > >>


E-Mail-IconAdministration