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
Deadline extension! #FAccTRec papers at #RecSys2023@ACMRecSys are now due *Aug, 7*; abstracts must be pre-registered by the original deadline of *Aug. 3*. https://t.co/eVLHmq7glL
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.
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 :)
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 https://t.co/MMgvwfYznk
Join us in listening to a "Discussion about attacks and defenses for fair and robust recommendation system design" by Mirae Kim and Simon Woo: https://t.co/tUrHjwUlEz #facctrec2022#facct#recsys2022
Riku Togashi is presenting fair matrix factorization for large scare recommendations. Find the paper here: https://t.co/d5WjbKQgBy
@FAccTRec@ACMRecSys#RecSys2022
Rebecca Salganik is presenting the analysis of the effect of sampling in GNNs on individual fairness @FAccTRec. Find the paper here: https://t.co/v5utz9SrOU
@ACMRecSys#RecSys2022