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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.

Stay tuned for more publications from the Pinterest team.

Large-scale Reinforcement Learning for Diffusion Models

Yinan Zhang, Eric Tzeng, Yilun Du, Dmitry Kislyuk. ECCV 2024.

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.

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.

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.

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.