RecSys Course is Published!

We're excited to announced that our recommendation systems course has been published!
After having to postpone RecomDay twice due to Covid-19, we came up with the idea of recording a whole course dedicated to recommendation systems. It was a massive undertaking that took us months to complete but we are happy to say that it is now ready: recommendation systems online course.

If you've purchased a ticket to RecomDay and have not received a registration link, please email recsys at this domain.

We hope you enjoy the course! 


Recom Day 2020

Hands-On Workshops

30 March, 2020

The Workshops

Recom Day is a hands-on event, focused on practical battle-tested frameworks, from professional mentors who work on recommender systems for a living. Participants will bring their own laptop, and tackle challenges in the field of recommender systems. Our workshops assume you already know python and basic machine learning.


9:00 - 9:30

Welcome & Registration

Register, get swag, grab some coffee and snacks, do some mingling.

9:30 - 12:30

Recommendation Systems from A to Z

Radik Komarnitsky and Dana Kaner / Taboola

Recommendation systems have become an integral part of our lives during the past years: from the music we hear, the movies we watch, the news we read or even the people we're friends with. Since the Netflix prize challenge, the field has witnessed a major boost, offering some new and exciting approaches.
Today, we will give an overview of these approaches, starting with collaborative filtering, continuing with factorization machines and finally diving into deep learning implementations. We will discuss the challenges we encountered and the lessons we have learned from implementing a deep learning recommendation system in Taboola.
Following this overview, we will guide you through a hands-on workshop where you will practice TensorFlow and build a fully working recommendation system on your own!

12:30 - 13:30

Lunch Break

Bon Apetit!

13:30 - 16:30

Deep learning techniques for recommendation

Oren Sar-Shalom / Intuit

Deep learning has pushed the state-of-the-art results in various disciplines, such as computer vision, natural language processing and recommendation.
In this workshop we will demonstrate how recurrent neural nets can be used to model the evolving user preferences. We will also show how recurrent neural nets can be used to capture temporal aspects in a user session.

Our Speakers & Mentors

Meet our team of recommendation experts

Oren Sar Shalom

Principal Data Scientist


Dana Kaner

Data Scientist


Pavel Levin

Principal Data Scientist


Kostia Kofman

Data Scientist & Team Lead


Asi Messica

Head of Data Science (Marketplace)


Guy Dubrovski



Sarai Mizrachi

Data Scientist


Radik Komarnitsky

Algorithm Developer


Omri Fima

Data Architect

Natural Intelligence

Ronit Feldman

Data Scientist


Gad Markovits

Data Scientist


Israel Sofer

Data Science Manager


Hila Zohar

NLP Algorithm Engineer


Proudly Sponsored By

Without you, it would not be possible


Early Bird


The price includes access to all data and material provided in the workshops, as well as food, coffee and snacks

Offer Ends February 29th

Regular Ticket


The price includes access to all data and material provided in the workshops, as well as food, coffee and snacks

The Venue

Naschitz, Brandes, Amir & Co.
5 Tuval Street, Tel-Aviv

Contact Us