Given the current situation with COVID-19, and in accordance with the current restrictions, we regret to inform you that Recom Day 2020 has been cancelled. Over the last few months we've been watching the news closely, hoping that somehow we will still be able to hold Recom Day as planned, but as the date neared we had to accept that it won't be possible. Therefore, we are left with no choice but to cancel Recom Day.


That being said, we are working on building a recommendation systems online course which will cover the conference material and more. We expect it to be available online in Q1 of 2021.


People who bought tickets to Recom Day can either receive the full online course for free (regular price is ₪2000) or ask for a refund by filling out this form.
We deeply apologize for any inconvenience this might have caused and hope to see you at our next event.


Thank you and keep safe,
Argmax Team


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