Artwork

Contenu fourni par Alex Molak. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Alex Molak ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
Player FM - Application Podcast
Mettez-vous hors ligne avec l'application Player FM !

Causal AI in Personalization | Dima Goldenberg Ep 19 | CausalBanditsPodcast.com

1:06:40
 
Partager
 

Manage episode 426620343 series 3526805
Contenu fourni par Alex Molak. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Alex Molak ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

Send us a text

Video version of this episode is available here

Causal personalization?

Dima did not love computers enough to forget about his passion for understanding people.
His work at Booking.com focuses on recommender systems and personalization, and their intersection with AB testing, constrained optimization and causal inference.
Dima's passion for building things started early in his childhood and continues up to this day, but recent events in his life also bring new opportunities to learn.
In the episode, we discuss:

  • What can we learn about human psychology from building causal recommender systems?
  • What it's like to work in a culture of radical experimentation?
  • Why you should not skip your operations research classes?

Ready to dive in?
About The Guest
Dima Goldenberg is a Senior Machine Learning Manager at Booking.com, Tel Aviv, where he leads machine learning efforts in recommendations and personalization utilizing uplift modeling. Dima obtained his MSc in Tel Aviv University and currently pursuing PhD on causal personalization at Ben Gurion University of the Negev. He led multiple conference workshops and tutorials on causality and personalization and his research was published in top journals and conferences including WWW, CIKM, WSDM, SIGIR, KDD and RecSys.
Connect with Dima:

About The Host
Aleksander (Alex) Molak is an independent machine learning researcher, educator, entrepreneur and a best-selling author in the area of causality (https://amzn.to/3QhsRz4).
Connect with Alex:
- Alex on the Internet
Links
The full list of links is available here
#machinelearning #causalai #causalinference #causality

Support the show

Causal Bandits Podcast
Causal AI || Causal Machine Learning || Causal Inference & Discovery
Web: https://causalbanditspodcast.com
Connect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/
Join Causal Python Weekly: https://causalpython.io
The Causal Book: https://amzn.to/3QhsRz4

  continue reading

Chapitres

1. Causal AI in Personalization | Dima Goldenberg Ep 19 | CausalBanditsPodcast.com (00:00:00)

2. [Ad] Rumi.ai (00:12:43)

3. (Cont.) Causal AI in Personalization | Dima Goldenberg Ep 19 | CausalBanditsPodcast.com (00:13:32)

28 episodes

Artwork
iconPartager
 
Manage episode 426620343 series 3526805
Contenu fourni par Alex Molak. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Alex Molak ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

Send us a text

Video version of this episode is available here

Causal personalization?

Dima did not love computers enough to forget about his passion for understanding people.
His work at Booking.com focuses on recommender systems and personalization, and their intersection with AB testing, constrained optimization and causal inference.
Dima's passion for building things started early in his childhood and continues up to this day, but recent events in his life also bring new opportunities to learn.
In the episode, we discuss:

  • What can we learn about human psychology from building causal recommender systems?
  • What it's like to work in a culture of radical experimentation?
  • Why you should not skip your operations research classes?

Ready to dive in?
About The Guest
Dima Goldenberg is a Senior Machine Learning Manager at Booking.com, Tel Aviv, where he leads machine learning efforts in recommendations and personalization utilizing uplift modeling. Dima obtained his MSc in Tel Aviv University and currently pursuing PhD on causal personalization at Ben Gurion University of the Negev. He led multiple conference workshops and tutorials on causality and personalization and his research was published in top journals and conferences including WWW, CIKM, WSDM, SIGIR, KDD and RecSys.
Connect with Dima:

About The Host
Aleksander (Alex) Molak is an independent machine learning researcher, educator, entrepreneur and a best-selling author in the area of causality (https://amzn.to/3QhsRz4).
Connect with Alex:
- Alex on the Internet
Links
The full list of links is available here
#machinelearning #causalai #causalinference #causality

Support the show

Causal Bandits Podcast
Causal AI || Causal Machine Learning || Causal Inference & Discovery
Web: https://causalbanditspodcast.com
Connect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/
Join Causal Python Weekly: https://causalpython.io
The Causal Book: https://amzn.to/3QhsRz4

  continue reading

Chapitres

1. Causal AI in Personalization | Dima Goldenberg Ep 19 | CausalBanditsPodcast.com (00:00:00)

2. [Ad] Rumi.ai (00:12:43)

3. (Cont.) Causal AI in Personalization | Dima Goldenberg Ep 19 | CausalBanditsPodcast.com (00:13:32)

28 episodes

모든 에피소드

×
 
Loading …

Bienvenue sur Lecteur FM!

Lecteur FM recherche sur Internet des podcasts de haute qualité que vous pourrez apprécier dès maintenant. C'est la meilleure application de podcast et fonctionne sur Android, iPhone et le Web. Inscrivez-vous pour synchroniser les abonnements sur tous les appareils.

 

Guide de référence rapide