Fair Recommendation

Several opportunities coming up for fair recommendation work! This is a thread w/ details, but the quick summary: - UMUAI Special Issue (abstracts June 6) - FACTS-IR @ #SIGIR2019 (papers May 3) - RMSE @ #recsys2019

The CFP for FAccTRec at #RecSys2024 is now up: facctrec.github.io/facctrec2024/c… Papers due Aug. 2.

The FAccTRec program for #RecSys2023 is now available: facctrec.github.io/facctrec2023/p… See you in Singapore!

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

Reminder #RecSys2023 folks! #FAccTRec is happening, with papers due on Aug. 3.

The FAccTRec 2023 CFP is now available - papers due Aug. 3. #RecSys2023 facctrec.github.io/facctrec2023/c…

Very pleased to announce that FAccTRec is back for #RecSys2023! More details to come, but for this year's edition in Singapore we especially encourage people doing work on on responsible search and recommendation in Asia-Pacific contexts to submit.

Slides of keynote and contributed talks are now available. facctrec.github.io/facctrec2022/p…

More slides from Danny’s talk. For more details you can read paper in arxiv and feel free to reach to us.

I really enjoyed attending #RecSys2022 this past week and enjoyed co-organizing the @FAccTRec workshop with @shima__shima @RajAmifa @rburke2233 @__lucab @mdekstrand (while keeping up with Iran's stressful news)! Hoping for the best & see you next year in Singapore!✌🏼#recsys2023

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

I had such an amazing time at @ACMRecSys 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 @FAccTRec folks for a great workshop today. Can’t wait to see y’all next year :)

That's a wrap! Closing of FAccTRec workshop by @mdekstrand. @FAccTRec @ACMRecSys #RecSys2022

The last presentation of the afternoon is by Jessie Smith @_jessiejsmith_ on "RecSys Fairness Metrics: Many to Use But Which One To Choose?" co-authored with Lex Beattie from Spotify #facct2022 #recsys2022 #facct arxiv.org/abs/2209.04011

Join us in listening to a "Discussion about attacks and defenses for fair and robust recommendation system design" by Mirae Kim and Simon Woo: tinyurl.com/mr4b38u8 #facctrec2022 #facct #recsys2022

@NassimSo is starting the #FAccTRec2022 workshop. @ACMRecSys @FAccTRec

Allen Lin is presenting fairness in conversational recommender systems. Find the paper here: arxiv.org/abs/2208.03854 #RecSys2022 @ACMRecSys @FAccTRec

@FAccTRec @MansouryMasoud If you want to know more about this great work, please consult the paper. arxiv.org/abs/2209.01665

Riku Togashi is presenting fair matrix factorization for large scare recommendations. Find the paper here: arxiv.org/abs/2209.04394 @FAccTRec @ACMRecSys #RecSys2022

Susan Leavy is presenting the principles of inclusive design ethics for recommender systems @FAccTRec. #RecSys2022 @ACMRecSys

Rebecca Salganik is presenting the analysis of the effect of sampling in GNNs on individual fairness @FAccTRec. Find the paper here: arxiv.org/abs/2209.03904 @ACMRecSys #RecSys2022