How Pinterest Uses Neural Networks
7 engineering articles about Neural Networks from Pinterest's engineering team
Other Pinterest Technologies
Other Companies Using Neural Networks
Articles
Filter:
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 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 a Machine Learning (ML) based approach to proactively prevent advertiser churn at Pinterest.
Pinterest Engineering
8 min read
Has Summary
--
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...
Pinterest Engineering
12 min read
Has Summary
--
The article discusses Hierarchical Temporal Convolutional Networks (HierTCN), a deep learning architecture designed for dynamic recommendations based on user interactions.
Pinterest Engineering
4 min read
Has Summary
--
The article discusses the development and implementation of the Linchpin Domain-Specific Language (DSL) at Pinterest, which streamlines the process of building and deploying machine learning models...
Pinterest Engineering
6 min read
Has Summary
--
The article discusses Pinnability, a machine learning initiative by Pinterest aimed at enhancing the personalization of the home feed by predicting which Pins users are likely to engage with.
Pinterest Engineering
8 min read
Has Summary
--
You've reached the end! All 7 articles loaded.