Top Tweets for #Recsys24
Amazing time at @ACMRecSys #recsys24 #conference! Our team members @_FedeSiciliano_ , @AntonioPuri00 and @filippobetello had a fantastic experience meeting diverse people and presenting their works. A huge thanks to #Bari for hosting us. Keep waiting for #prague2025!
The success of #RecSys24 is also due to the amazing team that supported @TommasoDiNoia and @pasqualelops throughout this conference
Just presented our paper on generative search & recs at #recsys24!
📈Presentation: https://t.co/nbzIqAoGGM
📄Paper: https://t.co/WnBsAmLMjb
Impressive to see this large #recsys24 conference organised in the Teatro Petruzzelli in my home town in Bari, Italy.
Enjoy the conference!
#recsys2024 runs in a magnificent setting of 19th century grand theater. Those of us coming late from registration were lucky to be ushered to the 2nd tire seats with a big-pucture view.
Excited to kick off the @ACMRecSys with @MuRS_WS workshop! Looking forward to insightful discussions and new ideas. #recsys24 #recsys
Very happy to see this as the first scene of the Morning. The #RecSys2024 banner here at @PolibaOfficial, Italy (#recsys, #recsys24)!
If you're still deciding what to do on Day 1 of #RecSys24, don't miss the fantastic lineup at the #LargeRecSys workshop!
P.S. The last spotlight talk speaker is actually me — I am honoured to be among such an incredible group of speakers!
Just in time for #RecSys24! Extended version of our #RecSys23 paper is now published in @ACM_TORS:
"Improving Effectiveness by Reducing Overconfidence in Large Catalogue Sequential Recommendation with gBCE Loss"
https://t.co/hb9dGKXtaQ
Co-authored with @craig_macdonald.
"Eco-Aware Graph Neural Networks for Sustainable Recommendations", co-authored by @AntonioPuri00 and @fabreetseo has been accepted for the #RecSoGood workshop located at #RecSys24 @ACMRecSys.
See you in Bari !!!
#PhD #GNN #Recommendation #Research
More news from #RecSys24!
Our talk "Transformers for Large-Scale Sequential Recommendation" has been accepted at the #LargeRecSys workshop.
We'll discuss scaling SOTA models to large catalogues and our solutions to the challenges (/w @craig_macdonald & @ntonellotto).
Do you notice that many systems tend to recommend more recent short videos? While a good strategy, it can lead to a bias favoring the most recently uploaded videos — yet not all videos age the same! Our #RecSys24 paper focuses on this topic
https://t.co/LWKzmVgOMD
The #RecSys24 Reproducibility Track will feature "Fair Augmentation for Graph Collaborative Filtering" w\ @ludovicoboratto, @Fra_Fabbri, GianniFenu, @mirkomarras.
Graph augmentation for #fairness was tested on 11 #GNNs, 5 non-GNN #RecommenderSystems.
📃: https://t.co/Z1YecwmY9Y
🚀We're excited to announce that the EasyChair link for paper submissions to RobustRecSys @ RecSys2024 is now live!
Submit your papers here: https://t.co/QqHZ45SoE1
Submission Deadline: August 30th, 2024
#RobustRecSys #RecSys24 #RecSys
📢 Call for Papers Alert! 📝
🚨 Submission Deadline: August 30th, 2024
For all essential updates, visit our website: https://t.co/0tnQ1kZhu5.
The submission site is coming soon, but prep your submissions now!
Excited to receive your contributions! 🌟 #RobustRecSys #RecSys24
Big news! Center leader @ctrattner, MediaFutures researcher @alainstarke , and PhD-candidate @ayelmajjodi are part of the #RecSys24 organizing committee! https://t.co/0U49OPBu5y… check it out!
Also, the proceedings of the INRA workshop is out! https://t.co/Xg68xtxIjt..."
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