Benedikt Schifferer – Medium

Benedikt Schifferer

Benedikt Schifferer
in
NVIDIA Merlin

Solving the Cold-Start Problem using Two-Tower Neural Networks for NVIDIA’s E-Mail Recommender…

There are many great resources and examples for machine learning. But they are often based on public (and sometimes even toy) datasets. The…

7 min readJan 11, 2023

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Solving the Cold-Start Problem using Two-Tower Neural Networks for NVIDIA’s E-Mail Recommender…

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Benedikt Schifferer
in
NVIDIA Merlin

Data Cleaning and Preprocessing for Recommender Systems based on NVIDIA’s Use Case

Have you ever heard that 80% of a data scientist’s work is data cleaning? That is probably correct. Data cleaning was really important for…

7 min readDec 7, 2022

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Data Cleaning and Preprocessing for Recommender Systems based on NVIDIA’s Use Case

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Benedikt Schifferer
in
NVIDIA Merlin

How to build a recommender system: A real Use Case to personalize E-Mail campaigns

We share our approach, challenges and learnings for developing a recommender system to personalize the E-Mail marketing campaigns

5 min readNov 2, 2022

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How to build a recommender system: A real Use Case to personalize E-Mail campaigns

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Benedikt Schifferer
in
NVIDIA Merlin

Optimizing Meituan’s Machine Learning Platform: An Interview with Jun Huang

By Sheng Luo and Benedikt Schifferer

6 min readSep 29, 2021

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Optimizing Meituan’s Machine Learning Platform: An Interview with Jun Huang

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Benedikt Schifferer
in
NVIDIA Merlin

Winning the RecSys2021 Challenge by a Diverse Set of XGBoost and Neural Network Models

Learn about the winning solution of the RecSys2021 Challenge and how to accelerate inference with GPUs.

6 min readJul 22, 2021

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Model architecture of the winning solution of the RecSys2021 competition

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Benedikt Schifferer
in
NVIDIA Merlin

Learn how Spotify, Walmart, Tencent and Postmates are scaling and accelerating their recommender…

By Benedikt Schifferer, Ronay Ak and Even Oldridge

3 min readApr 6, 2021

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Learn how Spotify, Walmart, Tencent and Postmates are scaling and accelerating their recommender…

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Benedikt Schifferer
in
NVIDIA Merlin

A New API for NVTabular and Inference support are coming with Merlin’s 0.4 release

By Benedikt Schifferer and Even Oldridge

4 min readMar 10, 2021

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A New API for NVTabular and Inference support are coming with Merlin’s 0.4 release

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Benedikt Schifferer
in
NVIDIA Merlin

Faster GPU-based Feature Engineering and Tabular Deep Learning Training with NVTabular on Kaggle.com

By Benedikt Schifferer and Even Oldridge

3 min readJan 26, 2021

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Faster GPU-based Feature Engineering and Tabular Deep Learning Training with NVTabular on Kaggle.com

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Benedikt Schifferer
in
RAPIDS AI

Winning Solution of RecSys2020 Challenge: GPU Accelerated Feature Engineering and Training for…

Our GPU-optimized pipeline enabled us to quickly iterate and run many experiments in a short time, giving us a competitive advantage to…

6 min readSep 23, 2020

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Winning Solution of RecSys2020 Challenge: GPU Accelerated Feature Engineering and Training for…

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Benedikt Schifferer

Benedikt Schifferer

Benedikt Schifferer is a Deep Learning Engineer at NVIDIA working on recommender systems. Prior, he graduated as MSc. Data Science from Columbia University

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