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arXiv:1702.04680cs.CV

Visual Discovery at Pinterest

Andrew Zhai, Dmitry Kislyuk, Yushi Jing, Michael Feng, Eric Tzeng, Jeff Donahue, Yue Li Du, Trevor Darrell

Early discovery. Linked by one identifiable commenter. This paper is outside the main ranking; a mention is not an endorsement.

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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Journal reference
DOI
Subjects
cs.CVComputer Vision and Pattern Recognition

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Linked by 1 identifiable commenter in 1 comment across 1 thread, from May 2017 to May 2017.

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  1. Ask HN: Who is hiring? (May 2017) 1 comment

    • Visual Search at Pinterest | Software Engineer | Full time or students (part-time) | San Francisco | visual search / deep learning / full stack engineering Visual Search team at Pinterest is looking for engineers to work on applied computer vision products, with a focus on…

      dkislyukView on HNParent context

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