The project's README from github.com/Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies. As one markdown file: README.md.
Welcome to the ML System Design Case Studies Repository! This repository is a comprehensive collection of 300+ case studies from over 80 leading companies, showcasing practical applications and insights into machine learning (ML) system design. Companies like Netflix, Airbnb, and Doordash have shared their experiences, providing a valuable resource for anyone interested in learning how ML is used to improve products and processes.
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| Index | Company | Industry | Description (< 5 words) | Title | Year |
|---|---|---|---|---|---|
| 1 | Stripe | Fintech and banking | Prevent fraudelent transactions | How we built it: Stripe Radar | 2023 |
| 2 | Walmart | E-commerce and retail | Recommend complementary items | Personalized ‘Complete the Look’ model | 2023 |
| 3 | Uber | Delivery and mobility | Forecast demand for airport rides | Demand and ETR Forecasting at Airports | 2023 |
| 4 | Social platforms | Prevent advertiser churn | An ML based approach to proactive advertiser churn prevention | 2023 | |
| 5 | Stitch Fix | E-commerce and retail | Generate ad headlines | A New Era of Creativity: Expert-in-the-loop Generative AI at Stitch Fix | 2023 |
| 6 | Swiggy | Delivery and mobility | Recommend items to order | Building a mind reader at Swiggy using Data Science | 2023 |
| 7 | Microsoft | Tech | Diagnose production incidents with LLM | Large-language models for automatic cloud incident management | 2023 |
| 8 | Foodpanda | Delivery and mobility | Optimize menu sorting order | Menu Ranking | 2023 |
| 9 | Zillow | E-commerce and retail | Estimate the house market value | Building the Neural Zestimate | 2023 |
| 10 | Airbnb | Travel,E-commerce and retail | Identify user interests | Prioritizing Home Attributes Based on Guest Interest | 2023 |
| 11 | GitHub | Tech | Generate code and code suggestions | Inside GitHub: Working with the LLMs behind GitHub Copilot | 2023 |
| 12 | DoorDash | Delivery and mobility | Optimize courier waiting time | Lifecycle of a Successful ML Product: Reducing Dasher Wait Times | 2023 |
| 13 | Social platforms | Select best payment gateway | Improving the customer’s experience via ML-driven payment routing | 2023 | |
| 14 | Wayfair | E-commerce and retail | Predict delivery times | Delivery-Date Prediction | 2023 |
| 15 | Social platforms | Detect viral spam | Viral spam content detection at LinkedIn | 2023 | |
| 16 | Lyft | Delivery and mobility | Recommend content in app | The Recommendation System at Lyft | 2023 |
| 17 | Honeycomb | Tech | Generate queries with natural language | All the Hard Stuff Nobody Talks About when Building Products with LLMs | 2023 |
| 18 | Zalando | E-commerce and retail | Forecast demand in fashion e-commerce | Deep Learning based Forecasting: a case study from the online fashion industry | 2023 |
| 19 | Etsy | E-commerce and retail | Recommend relevant marketplace items | How We Built a Multi-Task Canonical Ranker for Recommendations at Etsy | 2023 |
| 20 | Yelp | Social platforms | Organize e-commerce content using embeddings | Yelp Content As Embeddings | 2023 |
| 21 | Monzo | Fintech and banking | Select relevant marketing messages | Optimising marketing messages for Monzo users | 2023 |
| 22 | Monzo | Fintech and banking | Detect patterns in text data | Using topic modelling to understand customer saving goals | 2023 |
| 23 | Wayfair | E-commerce and retail | Predict new product’s sales potential | How Wayfair uses “Predicted Winners” Models to Accelerate Success for New Products | 2023 |
| 24 | Airbnb | Travel,E-commerce and retail | Personalized listing search | Learning To Rank Diversely | 2023 |
| 25 | Social platforms | Recommend interesting tweets | Twitter's Recommendation Algorithm | 2023 | |
| 26 | DoorDash | Delivery and mobility | Predict if a store is open | How DoorDash Upgraded a Heuristic with ML to Save Thousands of Canceled Orders | 2023 |
| 27 | Wayfair | E-commerce and retail | Identify business customers | Hamlet: Wayfair's ML Approach to Identifying Business Shopper | 2023 |
| 28 | Wayfair | E-commerce and retail | Detect fraud with embeddings | Introducing Melange: A Customer Journey Embedding System for Improving Fraud and Policy Abuse Detection | 2023 |
| 29 | Airbnb | Travel,E-commerce and retail | Improve travel search experience | Building Airbnb Categories with ML & Human in the Loop | 2023 |
| 30 | Spotify | Media and streaming | Automatically generate ad content | How We Automated Content Marketing to Acquire Users at Scale | 2023 |
| 31 | Instacart | E-commerce and retail | Predict availability of food items | How Instacart Modernized the Prediction of Real Time Availability for Hundreds of Millions of Items While Saving Costs | 2023 |
| 32 | Social platforms | Personalize the homepage feed | Enhancing homepage feed relevance by harnessing the power of large corpus sparse ID embeddings | 2023 | |
| 33 | Doordash | Delivery and mobility | Forecast order volumes and deliveries | How DoorDash Built an Ensemble Learning Model for Time Series Forecasting | 2023 |
| 34 | Expedia | Travel,E-commerce and retail | Forecast flight prices | Using Synthetic Search Data for Flights Price Forecasting | 2023 |
| 35 | Nextdoor | Social platforms | Generate engaging email subject lines | Let AI Entertain You: Increasing User Engagement with Generative AI and Rejection Sampling | 2023 |
| 36 | Cr |