Algorithmic Recommendations at The New York Times

Video description

Presented by Anna Coenen

Algorithmic curating at the Times brings many unique challenges. We want our recommendations to feel personal and relevant, but not creepy. We want articles to be timely, yet also showcase older pieces that our readers still enjoy. We want to increase engagement, but without sacrificing editorial judgment. This talk describes how we achieved these goals through a combination of Machine Learning, experimentation, and diligent editorial curation.

Table of contents

  1. Algorithmic recommendations at The New York Times 00:26:59

Product information

  • Title: Algorithmic Recommendations at The New York Times
  • Author(s): Data Science Salon, Data Science Salon
  • Release date: September 2019
  • Publisher(s): Data Science Salon
  • ISBN: None