Katalog der Deutschen Nationalbibliothek

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Service hours in Frankfurt am Main from 1 December 2025: Monday to Friday 9:00-18:00 and Saturday 10:00-16:00

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"
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11 - 20 von 528

	11	Recommender Systems for Sustainability and Social Good Cham : Springer Nature Switzerland, Imprint: Springer, 2025, 1st ed. 2025
	12	Revolutionizing Fashion and Retail Cham : Springer Nature Switzerland, Imprint: Springer, 2025, 1st ed. 2025
	13	Supporting Knowledge Workers through Personal Information Assistance with Context-aware Recommender Systems Bakhshizadeh, Mahta. - Kaiserslautern-Landau : Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, 2025
	14	Technical and Regulatory Perspectives on Information Retrieval and Recommender Systems Schedl, Markus. - Cham : Springer Nature Switzerland, Imprint: Springer, 2025, 1st ed. 2025
	15	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.
	16	Toward transparent diagnosis of fatty liver disease: explainable AI-driven recommender systems using SHAP and LIME Enthalten in International journal of information technology 16.9.2025: 1-18
	17	Cross-distillation-based approach for detecting poisoning attacks in recommender systems Enthalten in Journal of intelligent information systems 11.8.2025: 1-29
	18	Design Knowledge for Sensitive Social Media Recommender Systems Enthalten in Information systems frontiers 24.7.2025: 1-28
	19	Unleashing the power of untuned large language models in recommender systems: a thorough investigation of current approaches, challenges, and future research directions Enthalten in Knowledge and information systems 16.7.2025: 1-77
	20	Comparing data reduction strategies for energy-efficient green recommender systems Enthalten in Journal of intelligent information systems 11.7.2025: 1-27