Algorithmic Content Recommendation with Editorial Judgment [NYTimes]
Episode 81 of the Snacks Weekly on Data Science podcast, hosted by Pan Wu, titled "Algorithmic Content Recommendation with Editorial Judgment [NYTimes]" was published on April 14, 2025 and runs 7 minutes.
April 14, 2025 ·7m · Snacks Weekly on Data Science
Summary
In this episode, we will explore how The New York Times balances algorithmic recommendations with editorial judgment. We discuss their business challenge, examine their hybrid content recommendation system, and look at refinements designed to improve the reader experience.For more details, you can refer to their published tech blog, linked here for your reference: https://open.nytimes.com/how-the-new-york-times-incorporates-editorial-judgement-in-algorithms-to-curate-home-screen-content-85f48209fdad
Episode Description
In this episode, we will explore how The New York Times balances algorithmic recommendations with editorial judgment. We discuss their business challenge, examine their hybrid content recommendation system, and look at refinements designed to improve the reader experience.
For more details, you can refer to their published tech blog, linked here for your reference: https://open.nytimes.com/how-the-new-york-times-incorporates-editorial-judgement-in-algorithms-to-curate-home-screen-content-85f48209fdad
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