
Fair Recommendation
@facctrec
7th Workshop on Responsible Recommendation at @ACMRecSys #recsys2024. Organized by Michael Ekstrand, @shima__shima, @RajAmifa, and Karlijn Dinnesen
ID: 842043337687289856
https://facctrec.github.io/facctrec2024/ 15-03-2017 16:02:30
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Allen Lin is presenting fairness in conversational recommender systems. Find the paper here: arxiv.org/abs/2208.03854 #RecSys2022 ACM RecSys Fair Recommendation


First time in-person co-organizers of Fair Recommendation! Lots of fun, interesting talks and a curious audience! #recsys2022


Riku Togashi is presenting fair matrix factorization for large scare recommendations. Find the paper here: arxiv.org/abs/2209.04394 Fair Recommendation ACM RecSys #RecSys2022

Susan Leavy is presenting the principles of inclusive design ethics for recommender systems Fair Recommendation. #RecSys2022 ACM RecSys


Rebecca Salganik is presenting the analysis of the effect of sampling in GNNs on individual fairness Fair Recommendation. Find the paper here: arxiv.org/abs/2209.03904 ACM RecSys #RecSys2022




That's a wrap! Closing of FAccTRec workshop by @mdekstrand. Fair Recommendation ACM RecSys #RecSys2022


I had such an amazing time at ACM RecSys this week!! Feeling so inspired and motivated and connected to the community (and also utterly exhausted but in the best of ways 😅) Special shout out to the Fair Recommendation folks for a great workshop today. Can’t wait to see y’all next year :)

I really enjoyed attending #RecSys2022 this past week and enjoyed co-organizing the Fair Recommendation workshop with しましま amifa raj Robin Burke Luca (also on the other platforms) @mdekstrand (while keeping up with Iran's stressful news)! Hoping for the best & see you next year in Singapore!✌🏼#recsys2023






Deadline extension! #FAccTRec papers at #RecSys2023 ACM RecSys are now due *Aug, 7*; abstracts must be pre-registered by the original deadline of *Aug. 3*. facctrec.github.io/facctrec2023/

