Building Human Values into Recommender Systems: An Interdisciplinary Synthesis

Building Human Values into Recommender Systems: An Interdisciplinary Synthesis

Recommender systems are the algorithms which select, filter, and personalize content across many of the world?s 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 ens...

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Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид: Stray, Jonathan, Halevy, Alon, Assar, Parisa, Hadfield-Menell, Dylan, Boutilier, Craig, Ashar, Amar, Bakalar, Chloe, Beattie, Lex, Ekstrand, Michael, Leibowicz, Claire, Moon Sehat, Connie, Johansen, Sara, Kerlin, Lianne, Vickrey, David, Singh, Spandana, Vrijenhoek, Sanne, Zhang, Amy, Andrus, McKane, Helberger, Natali, Proutskova, Polina
Бусад зохиолчид: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Формат: Өгүүллэг
Хэл сонгох:English
Хэвлэсэн: ACM 2023
Онлайн хандалт:https://hdl.handle.net/1721.1/153135

Интернэт

https://hdl.handle.net/1721.1/153135

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