How Pinterest Uses AutoML

The article reflects on a decade of AI platform development at Pinterest, detailing the evolution from fragmented machine learning stacks to a unified AI platform that supports various models.

The article discusses the evolution of ads conversion optimization models at Pinterest, highlighting the transition from Gradient Boosted Decision Trees (GBDT) to advanced Deep Neural Networks (DNN...

This article discusses the implementation of deep multi-task learning and real-time personalization techniques for improving Closeup recommendations at Pinterest.

The article discusses the implementation of a multi-task learning model for recommending related products on Pinterest, focusing on improving engagement metrics through a more flexible and interpre...

Deepak Agarwal shares insights from his first 90 days as Head of Content & Discovery at Pinterest, discussing his career background, the sophisticated technology at Pinterest, and the opportunities...

This article discusses the transition from a single-output deep neural network to a multi-task learning (MTL) framework for home feed ranking at Pinterest.

This article discusses how Pinterest utilizes AutoML, Multi-task Learning, and Multi-tower models to enhance its Ads marketplace.

The article discusses Jeremy King's reflections on his first year at Pinterest as SVP of Technology, highlighting the company's growth during the pandemic, the importance of mental wellness, and th...