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arXiv · 1505.07647

Visual Search at Pinterest

Yushi Jing·David Liu·Dmitry Kislyuk·Andrew Zhai·Jiajing Xu·Jeff Donahue·Sarah Tavel
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Abstract

We demonstrate that, with the availability of distributed computation platforms such as Amazon Web Services and open-source tools, it is possible for a small engineering team to build, launch and maintain a cost-effective, large-scale visual search system with widely available tools. We also demonstrate, through a comprehensive set of live experiments at Pinterest, that content recommendation powered by visual search improve user engagement. By sharing our implementation details and the experiences learned from launching a commercial visual search engines from scratch, we hope visual search are more widely incorporated into today's commercial applications.

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Yushi Jing, David Liu, Dmitry Kislyuk, Andrew Zhai, Jiajing Xu, Jeff Donahue, Sarah Tavel. 2015-05-28. Visual Search at Pinterest. https://arxiv.org/abs/1505.07647

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