@kimfalk

Data scientist by day, author of Practical Recommender Systems by night. #RecSys #MachineLearning

 Copenhagen, Denmark
kimfalk.org
Joined June 2009
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  • Following593
  • Followers562
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My good friend @kimfalk is working on his second book! manning.com/books/ai-recomme…

AI Recommender Systems - Kim Falk

Customers expect fast, accurate suggestions that are perfectly aligned to their preferences, even when they have limited historical data and provide minimal input. AI Recommender Systems gives you a...

manning.com
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🚨DEADLINE ALERT🚨Applications for the RecSys Summer School 2025 in Vienna (15-19 September) close today. I promise you, you do not want to miss this 🥰. Lectures by @kimfalk, @yashardel, @toinebogers and many more! Apply here 👉 recsys-lab.at/rsss2025/call-…
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kim falk retweeted
Sole Pera@DrCh0le18 Oct 2024
Come join us at #AltRecSys on Aula L! We start with a spotlight chat from @rburke2233 ! #RecSys2024 – at Bari, Apulia
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Bravo @kimfalk! We're honored to inform you that "Practical Recommender Systems" made it to the list of best Recommender System books of all time! bookauthority.org/books/best…

WINNER: 10 Recommender System Books That Separate Experts from Amateurs

Explore 10 Recommender System Books shaping the field, recommended by experts like Joseph Konstan for practical and theoretical mastery.

bookauthority.org
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Next up: @kimfalk and Morten Arngren talking about recommendation in the wild! #rsss2023 #recsys
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. @kimfalk tries to define personalization, as the final talk of the Nordic Personalization Day. You could wonder: What have we been doing all day?
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Great work @kimfalk! Your book "Practical Recommender Systems" has been featured in the list of best Recommender System ebooks of all time! bookauthority.org/books/best…

WINNER: 10 Recommender System Books That Separate Experts from Amateurs

Explore 10 Recommender System Books shaping the field, recommended by experts like Joseph Konstan for practical and theoretical mastery.

bookauthority.org
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Back home from #recsys2022? Then it's time to think about your next project and keep in mind that #ACM_TORS has currently three special issues with open calls relating to #trust, #CausalInference and #Evaluation of #recsys: dl.acm.org/journal/tors/call… #CfP
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I proposed a tutorial on unit testing for ML code to both #AAAI2022 and #NeurIPS2022 , and both rejected it... 😔 I think unit testing should be more prevalent in ML code.
andrea panizza@unsorsodicorda5 Oct 2022
I'm surprised that unit testing is not the norm in ML. Just yesterday I found two bugs in some new code I was writing, and I would have never found them by just "visualizing results" or "looking at the training curves", etc. Then again, a case could be made that, "if a bug 1/n
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kim falk retweeted
Gil
@gilgNYC22 Sep 2022
Woah! Shopify launched native support of complimentary products via their new Search & Discovery app.
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Evaluation discussion at #perspectives2022 #recsys2022 @ACMRecSys
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Thanks to the review team for the great discussions on the topics for my keynote at #perspectives and many other things #RecSys2022
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Many good questions at the #Perspectives workshop at #RecSys2022 and a great keynote by @kimfalk. And the workshop has just begun (still time to join if you don't know what to do today ;-). #RS_c
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kim falk retweeted
M. Larson@ngrams22 Sep 2022
Everyone agrees that papers need to be improving the state of the art, but everyone also agrees that evaluation is somehow broken. @kimfalk takes us to the dramatic, but logical conclusion of this contradiction during the Q&A of his keynote at PERSPECTIVES Workshop at #recsys2022
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Excited to join the PERSPECTIVES workshop at #RecSys2022 today, starting with a keynote by @kimfalk
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The flying hand at #RecSys2022
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Session: Large-Scale Recommendation Talk by Optimizing product recommendations for millions of merchants by @kimfalk Kim Falk and Chen Karako | Shopify @Shopify #RecSys2022 @ACMRecSys
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#RecSys2022 kicking off @ACMRecSys
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our abstract “Should Algorithm Evaluation Extend to Testing? We Think So" with @kimfalk. You can find the teaser videos for both at perspectives-ws.github.io/20…. We're looking forward to a lively discussion! (5/7)

Perspectives

perspectives-ws.github.io
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Deal of the Day September 17: Save 45% on my book Practical Recommender Systems and other selected titles @ManningBooks: mng.bz/WrEx
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