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ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest


May 24, 2022
Paul Baltescu, Haoyu Chen, Nikil Pancha, Andrew Zhai, Jure Leskovec, Charles Rosenberg

* KDD 2022 
* 9 pages, 5 figures 

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MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest


May 21, 2022
Saket Gurukar, Nikil Pancha, Andrew Zhai, Eric Kim, Samson Hu, Srinivasan Parthasarathy, Charles Rosenberg, Jure Leskovec


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PinnerFormer: Sequence Modeling for User Representation at Pinterest


May 09, 2022
Nikil Pancha, Andrew Zhai, Jure Leskovec, Charles Rosenberg

* 11 pages, 6 figures, submitted to KDD '22 

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Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations


Aug 12, 2021
Josh Beal, Hao-Yu Wu, Dong Huk Park, Andrew Zhai, Dmitry Kislyuk

* Accepted by WACV 2022 

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Toward Transformer-Based Object Detection


Dec 17, 2020
Josh Beal, Eric Kim, Eric Tzeng, Dong Huk Park, Andrew Zhai, Dmitry Kislyuk


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Bootstrapping Complete The Look at Pinterest


Jun 29, 2020
Eileen Li, Eric Kim, Andrew Zhai, Josh Beal, Kunlong Gu

* 9 pages, 12 figures, To be published in KDD '20 

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Shop The Look: Building a Large Scale Visual Shopping System at Pinterest


Jun 18, 2020
Raymond Shiau, Hao-Yu Wu, Eric Kim, Yue Li Du, Anqi Guo, Zhiyuan Zhang, Eileen Li, Kunlong Gu, Charles Rosenberg, Andrew Zhai

* 10 pages, 7 figures, Accepted to KDD'20 

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Learning a Unified Embedding for Visual Search at Pinterest


Aug 05, 2019
Andrew Zhai, Hao-Yu Wu, Eric Tzeng, Dong Huk Park, Charles Rosenberg

* in Proceedings of the 25th ACM SIGKDD International Conference on Knowledge and Discovery and Data Mining, 2019 

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Making Classification Competitive for Deep Metric Learning


Nov 30, 2018
Andrew Zhai, Hao-Yu Wu


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