Pinterest Labs tackles the most challenging problems in Machine Learning and Artificial Intelligence
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Classification is a Strong Baseline for Deep Metric Learning

Andrew Zhai, Hao-Yu Wu. BMVC, 2019.

PinText: A Multitask Text Embedding System in Pinterest

Jinfeng Zhuang and Yu Liu. KDD, 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.

Complete the Look: Scene-based Complementary Product Recommendation.

W. Kang, E. Kim, J. Leskovec, C. Rosenberg, J. McAuley. CVPR, 2019.

Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems

J. You, Y. Wang, A. Pal, P. Eksombatchai, C. Rosenberg, J. Leskovec. ACM International Conference on World Wide Web (WWW), 2019.

Notification Volume Control and Optimization System at Pinterest

Bo Zhao, Koichiro Narita, Burkay Orten, John Egan. KDD 2018.

Graph Convolutional Neural Networks for Web-Scale Recommender Systems

Rex Ying, Ruining He, Kaifeng Chen, Chantat Eksombatchai, William L. Hamilton, Jure Leskovec. 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.

Understanding Online Collection Growth Over Time: A Case Study of Pinterest

Caroline Lo, Justin Cheng, Jure Leskovec. WWW 2017.

Predicting Intent Using Activity Logs: How Goal Specificity and Temporal Range Affect User Behavior

Justin Cheng, Caroline Lo, Jure Leskovec. WWW 2017.

Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images

Junhua Mao, Jiajing Xu, Kevin Jing, Alan L. Yuille. NIPS 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.