Shopping Recommendations at Pinterest
Offered By: MLOps World: Machine Learning in Production via YouTube
Course Description
Overview
Discover how Pinterest builds its shopping recommendation systems in this 25-minute conference talk from MLOps World: Machine Learning in Production. Explore the engagement-based and embedding-based candidate generation techniques used by Pinterest's shopping team to create related product recommendations. Learn about the indexing and serving methods that support multiple types of recommenders and deep neural network ranking models. Gain insights into how Pinterest leverages machine learning to help millions of users find new ideas and create a life they love through personalized shopping experiences.
Syllabus
Shopping Recommendations at Pinterest
Taught by
MLOps World: Machine Learning in Production
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent