EPISODE · Apr 14, 2025 · 7 MIN
Algorithmic Content Recommendation with Editorial Judgment [NYTimes]
from Snacks Weekly on Data Science · host Pan Wu
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
What this episode covers
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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Algorithmic Content Recommendation with Editorial Judgment [NYTimes]
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