387 citations · 971 across the 40 of their papers we have counts for
3 papers · 1 filter
Towards Psychologically-Grounded Dynamic Preference Models
Mihaela Curmei, Andreas Haupt, Dylan Hadfield-Menell +1
Designing recommendation systems that serve content aligned with time varying preferences requires proper accounting of the feedback effects of recommendations on human behavior an…
Building Human Values into Recommender Systems: An Interdisciplinary Synthesis
Jonathan Stray, Alon Halevy, Parisa Assar +18
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 effe…
What are you optimizing for? Aligning Recommender Systems with Human Values
Jonathan Stray, Ivan Vendrov, Jeremy Nixon +2
We describe cases where real recommender systems were modified in the service of various human values such as diversity, fairness, well-being, time well spent, and factual accuracy…