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Displaying posts tagged 'Computer vision'

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Introducing automatic object detection to visual search

When we launched visual search last year, we gave a first look at what’s possible when you use images as search queries...

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Building Pinterest's A/B testing platform

As a data-driven company, we rely heavily on experiments to guide products and features. At any given time, we have around 1,000 experiments running, and we’re adding more every day...

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Pinterest Trends: Insights into the unstructured data.

What topics are Pinners interested in? When are they most engaged with these topics? How are they engaging with those topics...

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Skyline: ETL-as-a-service

Data plays a big role at Pinterest, in both enabling new product experiences for Pinners and providing insights into Pinner behavior...

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Understanding product attributes for shoppers

Every day, people come to Pinterest to shop and find ideas in categories like home and fashion, and it’s our responsibility to show them the most relevant and inspiring products...

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Pinnability: Machine learning in the home feed

Pinterest hosts more than 30 billion Pins (and growing) with rich contextual and visual information. Tens of millions of Pinners (users) interact with the site every day by browsing, searching, Pinning, and clicking through to external sites...

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