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arXiv:1505.07647cs.CV

Visual Search at Pinterest

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

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.

arXiv comments
in Proceedings of the 21th ACM SIGKDD International Conference on Knowledge and Discovery and Data Mining, 2015
Journal reference
DOI
Subjects
cs.CVComputer Vision and Pattern Recognition

On Hacker News

Linked by 2 identifiable commenters in 2 comments across 2 threads, from Jun 2015 to Dec 2015. Found in 3 HN submissions from May 2015 to Feb 2017. Open submission discussions.

Comments linking this paper, per year.

Discussed in comments2 threads

  1. Ask HN: Papers you read in 2015? 1 comment

    • DagCoin : a bitcoin-like cryptocurrency with a "decentralized" blockchain based on directed acyclic graphs - https://bitslog.files.wordpress.com/2015/09/dagcoin-v41.pdf Visual Search at Pinterest - http://arxiv.org/pdf/1505.07647v1.pdf Fast Search in Hamming Space with…

      web007View on HNParent context

  2. Visual Search at Pinterest [pdf] 1 comment

    • For reference, here is the link to the real arxiv page: http://arxiv.org/abs/1505.07647 and here is the blog post announcing the paper: http://engineering.pinterest.com/post/120111908004/building-...

      shackenbergView on HNParent context

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