blog headers_Personalizing Recommendations for a Learning User_howitsmade-19

Tech & Innovation

Personalizing Recommendations for a Learning User

A talk by Prof. Hongning Wang as part of Instacart’s Distinguished Speaker Series Co-authored by Haixun Wang and Jagannath Putrevu Recommendation systems are at the heart of Instacart: we want to surface the most appropriate...

Dec 5, 2022

Read time: 5 min

blog headers__From Postgres to Amazon DynamoDB_howitsmade-11

Tech & Innovation

From Postgres to Amazon DynamoDB 

Authors: Andrew Tanner, Manas Paldhe, Stefan Wild, Tristan Fletcher Instacart is the leading online grocery company in North America. Users can shop from more than 75,000 stores with more than 500 million products on shelves....

Nov 21, 2022

Read time: 11 min

How Instacart Uses Embeddings to Improve Search Relevance

Tech & Innovation

How Instacart Uses Embeddings to Improve Search Relevance

Authors: Xiao Xiao , Taesik Na , Tejaswi Tenneti , Guanghua Shu As a fast-growing e-commerce platform and the leading grocery technology company, Instacart has an ever-expanding catalog of over 1 billion products from 900+...

Sep 15, 2022

Read time: 12 min

Engineering Blog

Tech & Innovation

Lessons Learned: The Journey to Real-Time Machine Learning at Instacart

Authors: Guanghua Shu and Sahil Khanna Instacart incorporates machine learning extensively to improve the quality of experience for all actors in our “four-sided marketplace” — customers who place orders on Instacart apps to get deliveries...

Sep 7, 2022

Read time: 12 min