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Engineering, AI, Backend

Personalized Marketing at Scale: Uber’s Out-of-App Recommendation System

13 June / Global
Featured image for Personalized Marketing at Scale: Uber’s Out-of-App Recommendation System
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Figure 1: Marketing Personalizer Architecture.
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Figure 2: first-pass ranking.
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Figure 3: Cuisine categorization based on similarity analysis. 
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Figure 4: enhance the visibility of selected merchants.
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Figure 5: configurations to enhance selected merchants with hierarchical overrides.
Vincent Pham

Vincent Pham

Vincent is a Staff Applied Scientist, TLM on the Marketing Personalization team based in New York City. He specializes in scalable recommendation systems and reinforcement learning.

Benjamin Draves

Benjamin Draves

Ben is a Senior Applied Scientist based in New York City focusing on Marketing Personalization and Targeting. He specializes in developing scalable and theoretically principled recommendation and targeting systems.

Hao Fu

Hao Fu

Hao Fu is a Staff Software Engineer on the Marketing Personalization team with a focus on developing scalable and reliable recommendation systems. He is passionate about building AI powered applications using big data, backend and machine learning technologies.

Duoduo Yu

Duoduo Yu

Duoduo Yu is a Senior Software Engineer on the Marketing Personalization team, with a strong passion for building large-scale backend systems using Java and Go. His expertise extends to big data technologies, particularly in Spark, and developing efficient pipelines and data warehouses.

Nick Papadakis

Nick Papadakis

Nick Papadakis is a Software Engineer on the Marketing Personalization team, with a focus on building scalable and reliable backend systems. He is passionate about improving compute efficiency and enjoys profiling Go code to identify opportunities for, and validate, performance optimizations.

Ankush Prakash

Ankush Prakash

Ankush is an Applied Scientist at Uber who has been on the Marketing Personalization team for three years. He has worked on the recommendation system on both the Eater and Grocery/Retail side during his time at the company.

Isabella Huang

Isabella Huang

Isabella Huang is an Engineering Manager on the Growth and Marketing team at Uber, based in Seattle. During her time at Uber, she has evangelized and led multiple AI projects in the Marketing domain. Her recent focus is building AI-powered content generation and optimization platforms that empower Uber to drive business growth ten times faster.

Posted by Vincent Pham, Benjamin Draves, Hao Fu, Duoduo Yu, Nick Papadakis, Ankush Prakash, Isabella Huang