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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| Formato: | Vídeo online |
| Idioma: | Inglés |
| Publicado: |
[New York, New York] :
Data Science Salon
2019.
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822820606719 |
| Sumario: | "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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| Notas: | Title from resource description page (Safari, viewed November 3, 2020). Place of publication from title screen. |
| Descripción Física: | 1 online resource (1 streaming video file (26 min., 59 sec.)) : digital, sound, color |
