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Visual Discovery at Pinterest

15 February 2017
Andrew Zhai
Dmitry Kislyuk
Yushi Jing
Michael Feng
Eric Tzeng
Jeff Donahue
Yue Li Du
Trevor Darrell
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Abstract

Over the past three years Pinterest has experimented with several visual search and recommendation services, including Related Pins (2014), Similar Looks (2015), Flashlight (2016) and Lens (2017). This paper presents an overview of our visual discovery engine powering these services, and shares the rationales behind our technical and product decisions such as the use of object detection and interactive user interfaces. We conclude that this visual discovery engine significantly improves engagement in both search and recommendation tasks.

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