しましまのRecSys2022まとめ

Yashar Deldjoo @yashardel

Random is not fair, packett-luce sampling is better, a work by #spotify at @FAccTRec workshop #recsys22 A talk focoused on producer fairness. #fairness #producer #random #recsys2022 twitter.com/FAccTRec/statu… pic.twitter.com/4dNgax0fIN

Fair Recommendation @FAccTRec

#recsys2022 @facctrec workshop: Session 2 (on-line) * Minimizing Mindless Mentions: Recommendation with Minimal Necessary User Reviews pic.twitter.com/0nLOjpcmtS

2022-09-24 02:30:00

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Andrea @amarchin87

After the great @usait0en's tutorial on Off-Policy evaluation, waiting for Lihong Li #RecSys2022 @CONSEQUENCES_ws pic.twitter.com/oV99eHLokY

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bochra chemam @ChemamBochra

#RecSys2022 #RecSys22StudentVolunteer Here we are on the last day of the conference join the recsyshub.org/agenda For different workshops until 17:30 PDT

amifa raj @RajAmifa

Allen Lin is presenting fairness in conversational recommender systems. Find the paper here: arxiv.org/abs/2208.03854 #RecSys2022 @ACMRecSys @FAccTRec pic.twitter.com/JvPe0uYCVv

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Andres Segura-Tinoco @SeguraAndres7

Now, my last (and one of my favorite) #RecSys2022 workshop: @FAccTRec - Responsible Recommendation. You can find more info about this workshop at the following link: facctrec.github.io/facctrec2022/ pic.twitter.com/LWOqDIqFWX

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Romain Lerallut 💙💛 🌻 @RLerallut

2022 confirms it : @ACMRecSys is my favorite conference and @FAccTRec is the part I prefer. Asking ourselves how we can act for a positive impact on the world. 🥰 #RecSys2022

amifa raj @RajAmifa

@MansouryMasoud is presenting exposure-aware recommendations using contextual bandits. Find the paper here: arxiv.org/abs/2209.01665 #RecSys2022 @FAccTRec @ACMRecSys pic.twitter.com/8v3HZ0hsj9

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Andres Segura-Tinoco @SeguraAndres7

Current talk at the @FAccTRec workshop: Exposure-aware recommendation using contextual bandits (a buzzword at this congress) by @MansouryMasoud Measuring exposure bias methods: ▪️ Equality of opportunity ▪️ Equality of Impact #RecSys2022 pic.twitter.com/nSHyF2u2ry

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Eugene Yan @eugeneyan

At CONSEQUENCES: Useful keynote by Lihong Li that includes a map for using bandits in e-commerce. #RecSys2022 pic.twitter.com/mgw0gEgof6

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Craig Macdonald @craig_macdonald

Now @JavierSanzCruza is giving an overview of @Infinitech_EU to the #finrec #recsys2022 project - including hearing a snippet by @jsoldatos et al pic.twitter.com/lgbFGeK8fF

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khushboo @khushsi

Interaction grounded recommender - IGL presented by Jessica #Recsys2022 pic.twitter.com/jOEfehjjEq

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Sole Pera @DrCh0le

Excellent work by @Owlslee13 & @snchancellor shining a light on mental health and #RecSys now at @FAccTRec #RecSys2022 pic.twitter.com/b5W2Kg7qFS

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amifa raj @RajAmifa

@Owlslee13 is presenting on mental illness behavior and recommendations @FAccTRec. Find the paper here: arxiv.org/abs/2209.03941 #RecSys2022 @ACMRecSys

amifa raj @RajAmifa

Ida Larsen-Ledet is presenting ethical and social considerations in automatic expert identification and people recommendations in organizational knowledge management systems. arxiv.org/abs/2209.03819 @FAccTRec #RecSys2022 @ACMRecSys

Humberto @totopampin

And with that, another successful edition of #fashionxrecsys workshop #recsys2022 @ACMRecSys! thanks to everyone who presented and was part of the conversations, it is the community that makes the workshop so special :D pic.twitter.com/30RBG1IXPN

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amifa raj @RajAmifa

Matija Franklin is presenting on preference manipulation in recommender systems @FAccTRec. #RecSys2022 @ACMRecSys pic.twitter.com/LKp3ZflXaE

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Nassim @NassimSo

First time in-person co-organizers of @FAccTRec! Lots of fun, interesting talks and a curious audience! #recsys2022 pic.twitter.com/k8EysGDGQV

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CONSEQUENCES @ RecSys 2024 @CONSEQUENCES_ws

We hope you loved the morning session as much as we did, and we're really looking forward to welcome Nobel-prize winner Guido Imbens soon! #RecSys2022

Alan Said @alansaid

And I'm off! Thanks @ACMRecSys and everyone else who made #RecSys2022 great! Looking forward to catching up with everyone at #RecSys2023 (preferably earlier tbh 🙂) pic.twitter.com/pfjaIrMoC1

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Alain Starke 🦙 @alainstarke

@SeguraAndres7 This exceeds my expectations by two #RecSys2022 papers 😃. Very cool!

Henriette Cramer @hsmcramer

Great to see @lexkbeattie and @_jessiejsmith_ present even more @SpotifyResearch work this week! RecSys Fairness Metrics: many to use, but which to choose? at the @FAccTRec #RecSys2022 workshop.

amifa raj @RajAmifa

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

amifa raj @RajAmifa

Savvina Daniil is presenting the author bias in book recommendations @FAccTRec. Find the paper here: arxiv.org/abs/2209.00371 @ACMRecSys #RecSys2022

Arun @encodedgeek

#recsys #recsys2022 @ACMRecSys Day 2 Post Lunch session CONSEQUENCES + REVEAL Workshop pic.twitter.com/HBXYOOVvOk

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amifa raj @RajAmifa

Susan Leavy is presenting the principles of inclusive design ethics for recommender systems @FAccTRec. #RecSys2022 @ACMRecSys pic.twitter.com/2NSPs0Z1gK

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