By Gabriel Moreira, Ronay Ak and Sara Rabhi

Recommender systems help users to find relevant content, products, media and much more in online services. They also help such services to connect their long-tailed (unpopular) items to the right people, to keep their users engaged and increase conversion.

Traditional recommendation…


Photo by Taras Shypka on Unsplash

It has been a great year for NVIDIA on RecSys competitions, having won four contests in the last 12 months — ACM RecSys Challenge 2020 and 2021 (both organized by Twitter), WSDM 2021 WebTour Workshop Challenge 2021 (organized by Booking.com) …


In January 2018, I entered a Kaggle competition called the Mercari Price Suggestion. The competition lasted three months and ended a few weeks ago. The challenge was to build an algorithm that automatically suggests product prices to online sellers, based on free-text descriptions, product categories and a few other attributes.


In the first part of this series, I introduced the Outbrain Click Prediction machine learning competition. That post described some preliminary and important data science tasks like exploratory data analysis and feature engineering performed for the competition, using a Spark cluster deployed on Google Dataproc.

In this post, I describe…


It is midnight on January 18, 2017, and the Outbrain Click Prediction machine learning competition has just finished. It has been three and a half months of working late. As I scroll through the leaderboard page, I found my name in the 19th position, which was the top 2% from…

Gabriel Moreira

Gabriel Moreira is a Phd and Senior Research Scientist at NVIDIA working on the intersection of Deep Learning and Recommender Systems

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