Oct. 3, 2023, 2:26 p.m. | Roland Meertens

InfoQ - AI, ML & Data Engineering www.infoq.com

At QCon SF Aayush Mudgal gave a talk on Pinterest's ad ranking strategy. Pinterest does both candidate retrieval and ranking, supported by user interaction data and what they are currently watching. They use neural networks to create embeddings for ads and users, where ads which are close to the user should be relevant. They train and deploy models on a daily basis.

By Roland Meertens

ads advertising ai data deep learning embeddings machine learning ml & data engineering networks neural networks pinterest qcon qcon san francisco 2023 ranking retrieval strategy talk

More from www.infoq.com / InfoQ - AI, ML & Data Engineering

Senior Machine Learning Engineer

@ GPTZero | Toronto, Canada

ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)

@ HelloBetter | Remote

Doctoral Researcher (m/f/div) in Automated Processing of Bioimages

@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena

Seeking Developers and Engineers for AI T-Shirt Generator Project

@ Chevon Hicks | Remote

Senior Applied Data Scientist

@ dunnhumby | London

Principal Data Architect - Azure & Big Data

@ MGM Resorts International | Home Office - US, NV