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Algorithmic recommendations at The New York Times / Data Science Salon.
- Format:
- Video
- Language:
- English
- Subjects (All):
- Recommender systems (Information filtering).
- Machine learning.
- Computer algorithms.
- Data curation.
- Customer relations.
- New York Times Company.
- Physical Description:
- 1 online resource (1 streaming video file (26 min., 59 sec.)) : digital, sound, color
- Place of Publication:
- [New York, New York] : Data Science Salon, 2019.
- Summary:
- "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.
- Participant:
- Presenter, Anna Coenen.
- Notes:
- Title from resource description page (Safari, viewed November 3, 2020).
- Place of publication from title screen.
- OCLC:
- 1203113591
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