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Optimizing Pinterest Shopping Recommendations for Purchases

Offered By: Toronto Machine Learning Series (TMLS) via YouTube

Tags

Machine Learning Courses E-commerce Courses Recommendation Systems Courses Pinterest Courses Transformer Models Courses

Course Description

Overview

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Explore how Pinterest optimizes shopping recommendations to drive purchases in this 33-minute conference talk by Somnath Banerjee, Head of Shopping Discovery at Pinterest. Discover the challenges of recommending products on social platforms and learn about innovative approaches to enhance shopping discovery. Delve into the techniques used to optimize item embeddings using transformer models, create shopping candidates likely to drive purchases, and develop conversion models for predicting checkout probability. Gain insights into how these central changes significantly increase purchases across various surfaces of Pinterest, including the Home Feed and Product Detail Page. Understand the importance of balancing different engagement objectives with the primary goal of driving sales in e-commerce recommendation systems.

Syllabus

Optimizing Pinterest Shopping Recommendations for Purchases


Taught by

Toronto Machine Learning Series (TMLS)

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