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Visual Search at Pinterest

arXiv 1505.07647 ↗First posted 28 May 2015cs.CVcited by 19

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Abstract (arXiv)

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.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 May 2015.

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Citing papers per year: 2021: 8; 2022: 4; 2023: 4; 2024: 0; 2025: 2; 2026: 1.

19 papers.

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  1. 2021Visual Search at Alibabacited by 27
  2. 2021Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representationscited by 24
  3. 2022Rethinking Personalized Ranking at Pinterest: An End-to-End Approachcited by 16
  4. 2022Sublinear Time Algorithm for Online Weighted Bipartite Matchingcited by 7
  5. 2021Towards Zero-shot Cross-lingual Image Retrieval and Taggingcited by 4
  6. 2023LRVS-Fashion: Extending Visual Search with Referring Instructionscited by 4
  7. 2021A machine learning pipeline for aiding school identification from child trafficking imagescited by 1
  8. 2022Evolution of a Web-Scale Near Duplicate Image Detection Systemcited by 1
  9. 2022Visually Similar Products Retrieval for Shopsycited by 1
  10. 2023Efficient Large-Scale Visual Representation Learning And Evaluationcited by 1
  11. 2023Improve Supervised Representation Learning with Masked Image Modelingcited by 1
  12. 2025Deep Reinforcement Learning for Ranking Utility Tuning in the Ad Recommender System at Pinterestcited by 1
7 more
  1. 2021Virtual ID Discovery from E-commerce Media at Alibaba: Exploiting Richness of User Click Behavior for Visual Search Relevancecited by 0
  2. 2021Style Similarity as Feedback for Product Designcited by 0
  3. 2021Web-Scale Generic Object Detection at Microsoft Bingcited by 0
  4. 2021Simple and Effective Balance of Contrastive Lossescited by 0
  5. 2023ITEm: Unsupervised Image-Text Embedding Learning for eCommercecited by 0
  6. 2025Applying Deep Learning to Ads Conversion Prediction in Last Mile Delivery Marketplacecited by 0
  7. 2026From Pixels to Purchase: Building and Evaluating a Taxonomy-Decoupled Visual Search Engine for Home Goods E-commercecited by 0