Thanks all for a great #RecSys2023! See you in Bari, and Prague, and my beloved Minnesota!

Just 24 hours left to submit your full paper abstracts for #ECIR2024!

For more details, see: https://ecir2024.org/2023/05/22/call-for-full-papers/

(Reaching out to our colleagues at #RecSys2023 and #CLEF2023 to help spread the word!)

Call for Full Papers – ECIR 2024

Congrats to
@DAfchar, R. Hennequin, and V. Guigue!

"Of Spiky SVDs and Music Recommendation" has been shortlisted among the best short paper candidates at #RecSys2023! 👏

Paper: https://arxiv.org/pdf/2307.01212.pdf
Poster: this Friday in Hall 405

#ACMRecSys
#Deezer
#AgroParisTech
#mlia_isir

Exciting times! 🤩

We are thrilled to attend #RecSys2023 this week in Singapore 🇸🇬, diving into recent advances in recommender systems.

Go say hi to
@bmsguerra
,
@gsalhagalvan
,
@DAfchar
, and Walid Bendada from our group, and do not miss the four
@Deezer
papers they will present!

We are excited to host the 1st edition of MuRS: Music Rec Sys workshop at #recsys2023

We will start at 10am Tuesday 9/19 Singapore time. Http://sites.google.com/view/murs/program Join us on recsyshub.org or in person!

w/ F Gouyon, M Quadrana, P Knees, and T Ye

MuRS - Program

Program

Presenting our work (led by Amifa Raj) on measuring fairness in grids shortly at FAccTrec #RecSys2023. https://md.ekstrandom.net/pubs/facctrec23-grids
Towards Measuring Fairness in Grid Layout in Recommender Systems

Paper led by Amifa Raj at the FAccTRec workshop at RecSys 2023 on measuring provider-side fairness of recommendation results in grid-based layouts.

Michael Ekstrand on the Web
@alainstarke presenting in #intrs2023, jetlagged albeit without the travel 😀#recsys2023
Getting started for the afternoon — come join us in 328 #recsys2023

Following @alansaid’s example… where can you find me at #RecSys2023?

- organizing the FAccTRec workshop (there most of today)
- presenting paper w/ Amifa Raj at FAccTRec (session 3, after lunch); paper at https://md.ekstrandom.net/pubs/facctrec23-grids
- mentoring in the doctoral symposium
- chairing Session 4 (trustworthy recommendation) on Wednesday
- hanging out all week, please say hi!

Towards Measuring Fairness in Grid Layout in Recommender Systems

Paper led by Amifa Raj at the FAccTRec workshop at RecSys 2023 on measuring provider-side fairness of recommendation results in grid-based layouts.

Michael Ekstrand on the Web
Rishabh: users with more diverse consumption are both less likely to churn, and more likely to convert to premium accounts. Fascinating. #recsys2023