A-Curated-List-of-ML-System-Design-Case-Studies README

The project's README from github.com/Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies. As one markdown file: README.md.

ML System Design Case Studies Repository

Description

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.


Supercharge your Research journey with HorizonX.live — the all-in-one platform for all your research needs.

🚀 Upcoming Features

We are continuously working to enhance this resource! Here are some exciting features coming soon:

🌟 Upcoming Features

Stay tuned for these updates and feel free to suggest features or contribute!

Try it now: https://horizonx.live


Features

Why This Resource is Valuable

How to Use

Enjoy exploring the wealth of knowledge in these case studies and enhance your understanding of machine learning system design!

Real-world ML systems

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 Pinterest 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 Linkedin 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 Linkedin 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 Twitter 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 Linkedin 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

A-Curated-List-of-ML-System-Design-Case-Studies (Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies)

Searching Database…

What is this?A curated collection of 300+ real-world machine learning system design case studies from over 80 companies like Netflix, Airbnb, Stripe, and Doordash, organized by industry and ML use case.
Is this a tool or just a list of links?It is a curated index: a markdown table linking out to original company blog posts and papers, not a tool or code library itself.
How is the list organized so I can find what I need?Entries are listed in a table with columns for company, industry, a short description, the article title, and year, so you can scan by industry or use case.
Do I need anything to use this list?No, it's just a README table of links to external blog posts and papers; you only need a browser to click through.
Are the entries vetted or is this just a dump of links?Each case study is sourced from detailed blogs, papers, or articles about ML systems actually built and used in production, not generic tutorials.
What kind of ML use cases are covered?The list spans computer vision, NLP, recommender systems, search and ranking, fraud detection, forecasting, and many other production ML applications across industries like finance, healthcare, and e-commerce.
Why would I use this over just searching company engineering blogs myself?It aggregates and organizes case studies from 80+ companies in one place with industry tags and short descriptions, saving you the work of hunting down each blog individually.
Is it still being updated with new case studies?The README states the repository is a continuously growing collection and invites contributors to suggest new case studies, implying ongoing updates.
What is HorizonX.live mentioned in the README?It's a separate research platform promoted in the README for searching ML papers, organizing libraries, and getting paper summaries; it is not part of this case study list itself.
Size
0.2 MB
Stars
11K
Updated
CommitAug 05
Age
2y
Commits · 90 Days