Algorithmic recommendations at The New York Times /

"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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Formato: Electrónico Video
Idioma:Inglés
Publicado: [New York, New York] : Data Science Salon, 2019.
Temas:
New York Times Company.
Recommender systems (Information filtering)
Machine learning.
Computer algorithms.
Data curation.
Customer relations.
Systèmes de recommandation (Filtrage d'information)
Apprentissage automatique.
Algorithmes.
Édition de contenu.
algorithms.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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500 |a Title from resource description page (Safari, viewed November 3, 2020). 
500 |a Place of publication from title screen. 
520 |a "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."--Resource description page 
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