all AI news
Unpacking how Ads Ranking Works @ Pinterest: Aayush Mudgal at QCon San-Francisco
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 Meertensads 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
Apple Open-Sources One Billion Parameter Language Model OpenELM
3 days, 17 hours ago |
www.infoq.com
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US