Building Human Values into Recommender Systems: An Interdisciplinary Synthesis

Recommender systems are the algorithms which select, filter, and personalize content across many of the worlds largest platforms and apps. As such, their positive and negative effects on individuals and on societies have been extensively theorized and studied. Our overarching question is how to ensu...

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Veröffentlicht in:	arXiv.org 2022-07
Hauptverfasser:	Stray, Jonathan, Halevy, Alon, Assar, Parisa, Hadfield-Menell, Dylan, Boutilier, Craig, Ashar, Amar, Beattie, Lex, Ekstrand, Michael, Leibowicz, Claire, Connie Moon Sehat, Johansen, Sara, Kerlin, Lianne, Vickrey, David, Singh, Spandana, Vrijenhoek, Sanne, Zhang, Amy, McKane Andrus, Natali Helberger, Proutskova, Polina, Mitra, Tanushree, Vasan, Nina
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computer Science - Information Retrieval Computer Science - Social and Information Networks Interdisciplinary aspects Optimization Product design Psychology Questions Recommender systems
Online-Zugang:	Volltext
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