Publications
Pinterest Labs tackles the most challenging problems in Machine Learning and Artificial Intelligence
With our continuous stream of research, development, and experimentation, our scientists and engineers are pushing the boundaries on what’s possible. Read below for more publications; and stay tuned for more to come.
Taming the One-Epoch Phenomenon in Online Recommendation System by Two-stage Contrastive ID Pre-training
Yi-Ping Hsu, Po-Wei Wang, Chantat Eksombatchai, Jiajing Xu. RecSys, 2024.
Bootstrapping Conditional Retrieval for User-to-Item Recommendations
Hongtao Lin, Haoyu Chen, Jaewon Yang, Jiajing Xu. RecSys, 2024.
Privacy Preserving Conversion Modeling in Data Clean Room
Kungang Li, Xiangyi Chen, Ling Leng, Jiajing Xu, Jiankai Sun, Behnam Rezaei. RecSys, 2024.
OmniSearchSage: Multi-Task Multi-Entity Embeddings for Pinterest Search
Prabhat Agarwal, Minhazul Islam Sk, Nikil Pancha, Kurchi Subhra Hazra, Jiajing Xu and Chuck Rosenberg. WWW 2024.
TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest
Xue Xia, Pong Eksombatchai, Nikil Pancha, Dhruvil Deven Badani, Po-Wei Wang, Neng Gu, Saurabh Vishwas Joshi, Nazanin Farahpour, Zhiyuan Zhang, Andrew Zhai. KDD, 2023.
Representation Online Matters: Practical End-to-End Diversification in Search and Recommender Systems
Pedro Silva, Bhawna Juneja, Shloka Desai, Ashudeep Singh, Nadia Fawaz. FAccT, 2023.
Fashion Image Retrieval with Text Feedback by Additive Attention Compositional Learning
Yuxin Tian, Shawn Newsam, Kofi Boakye. WACV, 2023.
Rethinking Personalized Ranking at Pinterest: An End-to-End Approach
Jiajing Xu, Andrew Zhai, Charles Rosenberg. RecSys, 2022.
ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest
Paul Baltescu, Haoyu Chen, Nikil Pancha, Andrew Zhai, Jure Leskovec, Charles Rosenberg. KDD, 2022.
Modeling User Behavior With Interaction Networks for Spam Detection
Prabhat Agarwal, Manisha Srivastava, Vishwakarma Singh, Charles Rosenberg. SIGIR, 2022.
PinnerFormer: Sequence Modeling for User Representation at Pinterest
Nikil Pancha, Andrew Zhai, Jure Leskovec, Charles Rosenberg, KDD, 2022.
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations
Josh Beal, Hao-Yu Wu, Dong Huk Park, Andrew Zhai, Dmitry Kislyuk. WACV, 2022.
From Batch Processing to Real Time Analytics: Running Presto at Scale
Zhenxiao Luo, Lu Niu, Venki Korukanti, Yutian Sun, Masha Basmanova, Yi He, Beinan Wang, Devesh Agrawal, Hao Luo, Chunxu Tang, Ashish Singh, Yao Li, Peng Du, Girish Baliga, Maosong Fu. ICDE, 2022
Toward Transformer-Based Object Detection
Josh Beal, Eric Kim, Eric Tzeng, Dong Huk Park, Andrew Zhai, Dmitry Kislyuk. Preprint, 2021.
MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks
C. Yang, A. Pal, A. Zhai, N. Pancha, J. Han, C. Rosenberg, J. Leskovec. KDD, 2020.
PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest
A. Pal, C. Eksombatchai, Y. Zhou, B. Zhao, C. Rosenberg, J. Leskovec. KDD, 2020.
Shop The Look: Building a Large Scale Visual Shopping System at Pinterest
Raymond Shiau, Hao-Yu Wu, Eric Kim, Yue Li Du, Anqi Guo, Zhiyuan Zhang, Eileen Li, Kunlong Gu, Charles Rosenberg, Andrew Zhai. KDD, 2020.
Evolution of a Web-Scale Near Duplicate Image Detection System
A. Gusev, J. Xu. WWW, 2020.
Expanding Taxonomies with Implicit Edge Semantics
Emaad Manzoor, Rui Li, Dhananjay Shrouty and Jure Leskovec. WWW, 2020.
Bootstrapping Complete the Look at Pinterest
E. Li, E. Kim, A. Zhai, J. Beal, K. Gu. KDD, 2020.
PinText 2: Attentive Bag of Annotations Embedding
J. Zhuang, J. Zhao, A. S. Subramanian, Y. Lin, Y. Guo, B. Krishnapuram, R. van Zwol. KDD, 2020.
Query2Interest Classification at Pinterest
J. Zhuang, J. Xie, Y. Guo, H. Vinicombe, R. Li, B. Krishnapuram, R. van Zwol. KDD, 2020.
Improving Query Safety at Pinterest
Abhijit Mahabal, Yinrui Li, Rajat Raina, Daniel Sun, Revati Mahajan, Jure Leskovec. KDD 2020.
Complete the Look: Scene-based Complementary Product Recommendation
Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian McAuley. CVPR, 2019.
Learning a Unified Embedding for Visual Search at Pinterest
Andrew Zhai, Hao-Yu Wu, Eric Tzeng, Dong Huk Park and Charles Rosenberg. KDD, 2019.
Finding Users Who Act Alike: Transfer Learning for Expanding Advertiser Audiences
Stephanie Dewet and Jiafan Ou. KDD, 2019.
Classification is a Strong Baseline for Deep Metric Learning
Andrew Zhai, Hao-Yu Wu. BMVC, 2019.
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying, Ruining He, Kaifeng Chen, Chantat Eksombatchai, William L. Hamilton, Jure Leskovec. KDD 2018.
Notification Volume Control and Optimization System at Pinterest
Bo Zhao, Koichiro Narita, Burkay Orten, John Egan. KDD 2018.
Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time
Chantat Eksombatchai, Pranav Jindal, Jerry Zitao Liu, Yuchen Liu, Rahul Sharma, Charles Sugnet, Mark Ulrich, Jure Leskovec. WWW 2018.
Visual Discovery at Pinterest.
Andrew Zhai, Dmitry Kislyuk, Yushi Jing, Michael Feng, Eric Tzeng, Jeff Donahue, Yue Li Du, Trevor Darrell. WWW 2017.
Related Pins at Pinterest: The Evolution of a Real-World Recommender System
David C. Liu, Stephanie Rogers, Raymond Shiau, Dmitry Kislyuk, Kevin C. Ma, Zhigang Zhong, Jenny Liu, Yushi Jing. WWW 2017.
Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images
Junhua Mao, Jiajing Xu, Yushi Jing, Alan Yuille. NeurIPS, 2016.
Understanding Behaviors that Lead to Purchasing: A Case Study of Pinterest
Caroline Lo, Dan Frankowski, Jure Leskovec. KDD 2016.
Power of Human Curation in Recommendation System
Yuchen Liu, Dmitry Chechik, Junghoo Cho. WWW 2016.
Item-to-Item Recommendations at Pinterest.
Stephanie Rogers. RecSys 2016.
Visual Search at Pinterest.
Yushi Jing, David Liu, Dmitry Kislyuk, Andrew Zhai, Jiajing Xu, Jeff Donahue, Sarah Tavel. KDD 2015.
Inferring Networks of Substitutable and Complementary Products
Julian McAuley, Rahul Pandey, Jure Leskovec. KDD 2015.
Human Curation and Convnets: Powering Item-to-Item Recommendations on Pinterest
Dmitry Kislyuk, Yuchen Liu, David Liu, Eric Tzeng, Yushi Jing. Arxiv 2015.
Scaling Deep Social Feeds at Pinterest
Varun Sharma, Jeremy Carroll, Abhi Khune. BigData 2013.
We’re looking for Machine Learning enthusiasts
We’re hiring globally for Machine Learning research and engineering roles.
View all engineering jobsJoin our talent community
Whether you apply to a role today or in the future, stay up-to-date on Pinterest news, events and job openings by signing up for our Talent Community. We’ll send you newsletters you won’t want to miss.
Join