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Introduction

Date: Tuesday, January 17, 2023
Time: 14:00 - 15:00 CET
Duration: 1 hour


This webinar will provide a technical overview and a demo of Merlin - an end-to-end framework for building a modern recommenders pipeline. In the demo, we will explain how to build a session-based recommender model going from a simple deep learning model to transformer-based architecture.

With NVIDIA Merlin, beginners can jumpstart their RecSys pipeline, while experienced practitioners can speed up their solution using the components of Merlin:

  • NVTabular - Feature engineering and preprocessing
  • Merlin Models - Training rec sys models ranging from Collaborative Filtering to advanced DL models
  • HugeCTR - DL framework for maximum performance and scalability
  • Transformers4Rec - Session-based and sequential recommendations
We will share the demo as notebooks with the participants.

Webinar Registration

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Speaker

Benedikt Schifferer

Deep Learning Engineer, NVIDIA

Benedikt Schifferer is a deep learning engineer at NVIDIA working on recommender systems. Prior to his work at NVIDIA, he graduated with a master of science in data science from Columbia University, New York and developed recommender systems for a German ecommerce company.

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Date & Time: Wednesday, April 22, 2018