Fairness in recommender systems: research landscape and future directions

Recommender systems can strongly influence which information we see online, e.g., on social media, and thus impact our beliefs, decisions, and actions. At the same time, these systems can create substantial business value for different stakeholders. Given the growing potential impact of such AI-base...

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Veröffentlicht in:	User modeling and user-adapted interaction Jg. 34; H. 1; S. 59 - 108
Hauptverfasser:	Deldjoo, Yashar, Jannach, Dietmar, Bellogin, Alejandro, Difonzo, Alessandro, Zanzonelli, Dario
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.03.2024 Springer Nature B.V
Schlagworte:	Computer Science Interdisciplinary studies Management of Computing and Information Systems Multimedia Information Systems Questions Recommender systems User Interfaces and Human Computer Interaction Survey Recommender systems Fairness
ISSN:	0924-1868, 1573-1391
Online-Zugang:	Volltext
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