Data Scientist, Data Whisperer, Prof. @UAntwerpen, Prof. @MonashUni, CTO and Co-Founder @Froomle
Antwerp, Belgium
Joined April 2007
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Bart Goethals retweeted
More than 2 years ago, @goethals initiated the "Recommender Systems" journal in the @FrontAIBigData series. Since then, 18 articles have been published (mostly reviews and original research). They are worth a look for everyone interested in #recsys recommender-systems.com/news…
Bart Goethals retweeted
🤔 Did you know that "DBWRS" is pronounced as 'dubeewors'? 📣 Join the conversation at the Dutch-Belgian Workshop on Recommender Systems and register now 👉 dbwrs23.be/register
📅 14 and 15 December 2023
⚠️ We have less than 25% of the seats left!
Bart Goethals retweeted
My personal highlight from #recsys2023 WS day one is @Joeydepauw's "Weighted Tensor Decompositions for Context-aware Collaborative Filtering" talk at #CARS. A novel decomp checked is nostalgic for me & I really love the regularizing context towards 1 idea. drive.google.com/file/d/1how…
Bart Goethals retweeted
#DBWRS2023 (Dutch-Belgian Workshop on Recommender Systems) is taking place on 14-15 December 2023 in Antwerp! ⚓️ Registration and submission will open soon. Follow us to stay informed about the latest updates! sites.google.com/view/DBWRS2…
Bart Goethals retweeted
Wow! @R_Verachtert, @lienmichiels, and @goethals won the Best Paper Award at the “PERSPECTIVES on evaluation” workshop with the paper "Are We Forgetting Something? Correctly Evaluate a Recommender System With an Optimal Training Window" at @ACMRecSys 🤩
👉bit.ly/3BHNBbI
Bart Goethals retweeted
Great to see the work of @lienmichiels, @R_Verachtert and @goethals rewarded (multiple times!) at #RecSys2022. A good example of collaborations between industry & academia really pushing boundaries 👏
Best Paper Award at the #Perspectives22 workshop at #RecSys22 with @R_Verachtert and @goethals 😍 We’ve been applying the principles explained in the paper in our production experiments at @Froomle for years, with impressive results!
Bart Goethals retweeted
Best Paper Award at the #Perspectives22 workshop at #RecSys22 with @R_Verachtert and @goethals 😍 We’ve been applying the principles explained in the paper in our production experiments at @Froomle for years, with impressive results!
Bart Goethals retweeted
Our team is ready to fly next week to attend @NewspaperWorld's World Media News Conference in sunny Spain
Thomas & Marina will be representing the sales team and are excited for the opportunity to chat and learn in person.
See the agenda here bit.ly/3DHj3JO
Bart Goethals retweeted
Congrats @lienmichiels and @R_Verachtert and @goethals on your best demo award at #recsys2022! So important to build great tools for RecSys! recpack.froomle.ai
Bart Goethals retweeted
Oh my god that was so unexpected 😱 I’m so proud and happy to see our hard work rewarded 🤩 #RecSys2022
Bart Goethals retweeted
Happy to see important work on tooling that enables reproducibility get the recognition it deserves. Congratulations, @lienmichiels @R_Verachtert and @goethals! #RecSys2022
Bart Goethals retweeted
We were so happy to see so much interest in RecPack at the first #RecSys2022 poster session! 🤩 If you have any more questions, reach out to us on here, meet us at #RecSys2022 or create an issue gitlab.com/recpack-maintaine…
Bart Goethals retweeted
"Pessimistic Decision-Making for Recommender Systems" will soon appear in the brand new @ACM_TORS journal! 🥳
This work extends our #RecSys2021 Best Student Paper, w/ @goethals
Bart Goethals retweeted
It's official.
AI researchers are the new cool and sexy.
YSL says so .... #AI
Bart Goethals retweeted
Our paper on DYN-EASE (Denise, if you will) is now published by Springer UMUAI.
As a part of the Special Issue on Dynamic #RecSys, we use some algebraic tricks to efficiently update EASE-like regression models.
w/ @jvanbalen & @goethals
Paper: adrem.uantwerpen.be/bibrem/p…
