How Pinterest Uses Transformer
13 engineering articles about Transformer from Pinterest's engineering team
Other Pinterest Technologies
Other Companies Using Transformer
Articles
Filter:
The article discusses how Pinterest enhances its ad candidate generation process using behavioral sequence modeling.
Pinterest Engineering
10 min read
Has Summary
--
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.
AutoMLDockerEmbeddingGenerative AIJavaKubernetesLightGBMPySparkPythonPyTorchSeedSQLTensorFlowThriftTransformer
Pinterest Engineering
22 min read
Has Summary
--
This article discusses how Pinterest enhances its recommendation system through the TransActV2 model, which leverages over 16,000 lifelong user actions to improve personalization.
Pinterest Engineering
8 min read
Has Summary
--
The article discusses the establishment of a large-scale learned retrieval system at Pinterest, focusing on the transition from heuristic-based methods to an embedding-based retrieval system.
Pinterest Engineering
7 min read
Has Summary
--
The article discusses the Notification Event Processor (NEP) developed at Pinterest, which enhances user engagement through a flexible, real-time notification system.
Pinterest Engineering
8 min read
Has Summary
--
The article discusses the development of Pinterest Canvas, a text-to-image foundation model aimed at enhancing existing images and products on the Pinterest platform.
Pinterest Engineering
10 min read
Has Summary
--
LinkSage is a Graph Neural Network-based model developed by Pinterest to enhance off-site content understanding, improving user engagement and monetization.
Pinterest Engineering
10 min read
Has Summary
--
The article discusses the implementation of user action sequence modeling at Pinterest to enhance ad engagement through personalized recommendations.
Pinterest Engineering
12 min read
Has Summary
--
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...
Pinterest Engineering
12 min read
Has Summary
--
This article discusses the implementation of deep multi-task learning and real-time personalization techniques for improving Closeup recommendations at Pinterest.
Pinterest Engineering
11 min read
Has Summary
--
This article discusses how Pinterest enhances Homefeed engagement by integrating realtime user actions into its recommendation system, TransAct.
Pinterest Engineering
12 min read
Has Summary
--
The article discusses SearchSage, a search query representation developed at Pinterest to enhance search retrieval and ranking.
Computer VisionEmbeddingModalNatural Language ProcessingPythonPyTorchTensorFlowTransformerTransformers
Pinterest Engineering
11 min read
Has Summary
--
The article discusses Teletraan, Pinterest's internal deploy system designed to streamline and enhance the deployment process for developers.
Pinterest Engineering
4 min read
Has Summary
--
You've reached the end! All 13 articles loaded.