[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-74028":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":10,"languages":10,"totalLinesOfCode":10,"stars":11,"forks":12,"watchers":13,"openIssues":14,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":15,"forks30d":15,"starsTrendScore":19,"compositeScore":20,"rankGlobal":10,"rankLanguage":10,"license":10,"archived":21,"fork":21,"defaultBranch":22,"hasWiki":21,"hasPages":21,"topics":23,"createdAt":10,"pushedAt":10,"updatedAt":24,"readmeContent":25,"aiSummary":26,"trendingCount":15,"starSnapshotCount":15,"syncStatus":27,"lastSyncTime":28,"discoverSource":29},74028,"A-Curated-List-of-ML-System-Design-Case-Studies","Engineer1999\u002FA-Curated-List-of-ML-System-Design-Case-Studies","Engineer1999","This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are organized to help you easily find relevant case studies based on industry or specific ML use cases. ","",null,10365,1583,113,3,0,38,149,180,114,116.6,false,"main",[],"2026-06-12 04:01:12","# ML System Design Case Studies Repository\n\n## Description\n\nWelcome 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.\n\n---\n\n## 🌐 **Featured Resource: \u003Ca href=\"https:\u002F\u002Fhorizonx.live\" target=\"_blank\" rel=\"noopener noreferrer\">HorizonX.live\u003C\u002Fa>**\n\n> **Supercharge your Research journey with \u003Ca href=\"https:\u002F\u002Fhorizonx.live\" target=\"_blank\" rel=\"noopener noreferrer\">HorizonX.live\u003C\u002Fa> — the all-in-one platform for all your research needs.**\n\n- 🔍 **Search & Explore**: Instantly find trending ML papers, code, and datasets.\n- 🗂️ **Personalized Libraries**: Save, organize, and annotate your favorite research.\n- 📝 **Interactive Paper Summaries**: Concise, easy-to-digest summaries for each paper.\n## 🚀 Upcoming Features\n\nWe are continuously working to enhance this resource! Here are some exciting features coming soon:\n\n### 🌟 Upcoming Features\n\n- \u003Cspan style=\"color: #39FF14; font-size: 1.2em; vertical-align: middle;\">🟢\u003C\u002Fspan> **Context-Aware Literature Engine**  \n  Speed up your literature review with AI that understands your research context.\n\n- **🤖 AI-Powered Brainstorming Engine**  \n  Collaborate with your intelligent assistant to spark, shape, and elevate breakthrough ideas.\n\n- **🛠️ Low-Code Data Analysis**  \n  Transform raw data into publication-ready charts and insights—no coding required.\n\n- **👥 Real-Time Collaboration**  \n  Google Docs meets research-grade Overleaf for seamless teamwork.\n\n- **🔗 Unified Knowledge Nexus**  \n  A single intelligent workspace that connects your ideas, insights, and research tools.\n\n- **📚 Automated Citation Manager**  \n  Intelligent reference management system for effortless citations.\n\n- **📝 Smart Formatting Assistant**  \n  Journal compliance made effortless.\n\n- **🔍 Pre-Publication Quality Check**  \n  Your 24\u002F7 peer review partner for manuscript quality assurance.\n\n- **💻 On-Demand HPC Access**  \n  Computing power without the setup headaches.\n\n*Stay tuned for these updates and feel free to suggest features or contribute!*\n\n**Try it now:** \u003Ca href=\"https:\u002F\u002Fhorizonx.live\" target=\"_blank\" rel=\"noopener noreferrer\">https:\u002F\u002Fhorizonx.live\u003C\u002Fa>\n\n---\n\n\n### Features\n\n- **Wide Range of Industries**: Explore case studies from various industries such as tech, finance, healthcare, and more.\n- **Diverse ML Applications**: Learn about different ML use cases, including computer vision (CV), natural language processing (NLP), recommender systems, search and ranking, fraud detection, and many more.\n- **Product Features**: Discover how ML powers specific user-facing features, from grammatical error correction to generating outfit combinations.\n\n### Why This Resource is Valuable\n\n- **Authentic and In-depth**: Each case study is sourced from detailed blogs, papers, or articles about ML systems developed in-house, providing genuine and firsthand insights.\n- **Practical Applications**: The studies cover real-world ML systems that are actively used in production, offering practical and proven examples.\n- **Focused and Detailed**: The case studies focus on specific ML use cases, providing clear and comprehensive information on the target users, model designs, evaluation criteria, and deployment architectures.\n\n### How to Use\n\n- **Short Description**: Use the discription to quickly find case studies relevant to your interests.\n- **Explore and Learn**: Dive into the detailed descriptions and implementations to gain a deeper understanding of ML system design.\n- **Share and Collaborate**: If you find the database helpful, spread the word and contribute to the repository by suggesting new case studies.\n\n## Enjoy exploring the wealth of knowledge in these case studies and enhance your understanding of machine learning system design!\n\n# Real-world ML systems\n|   Index | Company              | Industry                                  | Description (\u003C 5 words)                                       | Title                                                                                                                                                                                                                                                                              |   Year |\n|--------:|:---------------------|:------------------------------------------|:--------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------:|\n|       1 | Stripe               | Fintech and banking                       | Prevent fraudelent transactions                               | [How we built it: Stripe Radar](https:\u002F\u002Fstripe.com\u002Fblog\u002Fhow-we-built-it-stripe-radar)                                                                                                                                                                                              |   2023 |\n|       2 | Walmart              | E-commerce and retail                     | Recommend complementary items                                 | [Personalized ‘Complete the Look’ model](https:\u002F\u002Fmedium.com\u002Fwalmartglobaltech\u002Fpersonalized-complete-the-look-model-ea093aba0b73)                                                                                                                                                   |   2023 |\n|       3 | Uber                 | Delivery and mobility                     | Forecast demand for airport rides                             | [Demand and ETR Forecasting at Airports](https:\u002F\u002Fwww.uber.com\u002Fen-GB\u002Fblog\u002Fdemand-and-etr-forecasting-at-airports\u002F)                                                                                                                                                                  |   2023 |\n|       4 | Pinterest            | Social platforms                          | Prevent advertiser churn                                      | [An ML based approach to proactive advertiser churn prevention](https:\u002F\u002Fmedium.com\u002Fpinterest-engineering\u002Fan-ml-based-approach-to-proactive-advertiser-churn-prevention-3a7c0c335016)                                                                                               |   2023 |\n|       5 | Stitch Fix           | E-commerce and retail                     | Generate ad headlines                                         | [A New Era of Creativity: Expert-in-the-loop Generative AI at Stitch Fix](https:\u002F\u002Fmultithreaded.stitchfix.com\u002Fblog\u002F2023\u002F03\u002F06\u002Fexpert-in-the-loop-generative-ai-at-stitch-fix\u002F)                                                                                                     |   2023 |\n|       6 | Swiggy               | Delivery and mobility                     | Recommend items to order                                      | [Building a mind reader at Swiggy using Data Science](https:\u002F\u002Fbytes.swiggy.com\u002Fbuilding-a-mind-reader-at-swiggy-using-data-science-5a5c38aa6c17)                                                                                                                                   |   2023 |\n|       7 | Microsoft            | Tech                                      | Diagnose production incidents with LLM                        | [Large-language models for automatic cloud incident management](https:\u002F\u002Fwww.microsoft.com\u002Fen-us\u002Fresearch\u002Fblog\u002Flarge-language-models-for-automatic-cloud-incident-management\u002F)                                                                                                      |   2023 |\n|       8 | Foodpanda            | Delivery and mobility                     | Optimize menu sorting order                                   | [Menu Ranking](https:\u002F\u002Fmedium.com\u002Ffoodpanda-data\u002Fmenu-ranking-422ad21f381e)                                                                                                                                                                                                        |   2023 |\n|       9 | Zillow               | E-commerce and retail                     | Estimate the house market value                               | [Building the Neural Zestimate](https:\u002F\u002Fwww.zillow.com\u002Ftech\u002Fbuilding-the-neural-zestimate\u002F)                                                                                                                                                                                        |   2023 |\n|      10 | Airbnb               | Travel,E-commerce and retail              | Identify user interests                                       | [Prioritizing Home Attributes Based on Guest Interest](https:\u002F\u002Fmedium.com\u002Fairbnb-engineering\u002Fprioritizing-home-attributes-based-on-guest-interest-3c49b827e51a)                                                                                                                    |   2023 |\n|      11 | GitHub               | Tech                                      | Generate code and code suggestions                            | [Inside GitHub: Working with the LLMs behind GitHub Copilot](https:\u002F\u002Fgithub.blog\u002F2023-05-17-inside-github-working-with-the-llms-behind-github-copilot\u002F)                                                                                                                            |   2023 |\n|      12 | DoorDash             | Delivery and mobility                     | Optimize courier waiting time                                 | [Lifecycle of a Successful ML Product: Reducing Dasher Wait Times](https:\u002F\u002Fdoordash.engineering\u002F2023\u002F02\u002F15\u002Flifecycle-of-a-successful-ml-product-reducing-dasher-wait-times\u002F)                                                                                                       |   2023 |\n|      13 | Linkedin             | Social platforms                          | Select best payment gateway                                   | [Improving the customer’s experience via ML-driven payment routing](https:\u002F\u002Fengineering.linkedin.com\u002Fblog\u002F2023\u002Fimproving-the-customer-s-experience-via-ml-driven-payment-routin)                                                                                                   |   2023 |\n|      14 | Wayfair              | E-commerce and retail                     | Predict delivery times                                        | [Delivery-Date Prediction](https:\u002F\u002Fwww.aboutwayfair.com\u002Fcareers\u002Ftech-blog\u002Fdelivery-date-prediction)                                                                                                                                                                                |   2023 |\n|      15 | Linkedin             | Social platforms                          | Detect viral spam                                             | [Viral spam content detection at LinkedIn](https:\u002F\u002Fengineering.linkedin.com\u002Fblog\u002F2023\u002Fviral-spam-content-detection-at-linkedin)                                                                                                                                                    |   2023 |\n|      16 | Lyft                 | Delivery and mobility                     | Recommend content in app                                      | [The Recommendation System at Lyft](https:\u002F\u002Feng.lyft.com\u002Fthe-recommendation-system-at-lyft-67bc9dcc1793)                                                                                                                                                                           |   2023 |\n|      17 | Honeycomb            | Tech                                      | Generate queries with natural language                        | [All the Hard Stuff Nobody Talks About when Building Products with LLMs](https:\u002F\u002Fwww.honeycomb.io\u002Fblog\u002Fhard-stuff-nobody-talks-about-llm)                                                                                                                                          |   2023 |\n|      18 | Zalando              | E-commerce and retail                     | Forecast demand in fashion e-commerce                         | [Deep Learning based Forecasting: a case study from the online fashion industry](https:\u002F\u002Farxiv.org\u002Fabs\u002F2305.14406)                                                                                                                                                                 |   2023 |\n|      19 | Etsy                 | E-commerce and retail                     | Recommend relevant marketplace items                          | [How We Built a Multi-Task Canonical Ranker for Recommendations at Etsy](https:\u002F\u002Fwww.etsy.com\u002Fuk\u002Fcodeascraft\u002Fhow-we-built-a-multi-task-canonical-ranker-for-recommendations-at-etsy)                                                                                               |   2023 |\n|      20 | Yelp                 | Social platforms                          | Organize e-commerce content using embeddings                  | [Yelp Content As Embeddings](https:\u002F\u002Fengineeringblog.yelp.com\u002F2023\u002F04\u002Fyelp-content-as-embeddings.html)                                                                                                                                                                             |   2023 |\n|      21 | Monzo                | Fintech and banking                       | Select relevant marketing messages                            | [Optimising marketing messages for Monzo users](https:\u002F\u002Fmedium.com\u002Fdata-monzo\u002Foptimising-marketing-messages-for-monzo-users-3fe805f24572)                                                                                                                                          |   2023 |\n|      22 | Monzo                | Fintech and banking                       | Detect patterns in text data                                  | [Using topic modelling to understand customer saving goals](https:\u002F\u002Fmedium.com\u002Fdata-monzo\u002Fusing-topic-modelling-to-understand-customer-saving-goals-2bb06f00ce2d)                                                                                                                  |   2023 |\n|      23 | Wayfair              | E-commerce and retail                     | Predict new product’s sales potential                         | [How Wayfair uses “Predicted Winners” Models to Accelerate Success for New Products](https:\u002F\u002Fwww.aboutwayfair.com\u002Fcareers\u002Ftech-blog\u002Fhow-wayfair-uses-predicted-winners-models-to-accelerate-success-for-new-products)                                                              |   2023 |\n|      24 | Airbnb               | Travel,E-commerce and retail              | Personalized listing search                                   | [Learning To Rank Diversely](https:\u002F\u002Fmedium.com\u002Fairbnb-engineering\u002Flearning-to-rank-diversely-add6b1929621)                                                                                                                                                                        |   2023 |\n|      25 | Twitter              | Social platforms                          | Recommend interesting tweets                                  | [Twitter's Recommendation Algorithm](https:\u002F\u002Fblog.twitter.com\u002Fengineering\u002Fen_us\u002Ftopics\u002Fopen-source\u002F2023\u002Ftwitter-recommendation-algorithm )                                                                                                                                         |   2023 |\n|      26 | DoorDash             | Delivery and mobility                     | Predict if a store is open                                    | [How DoorDash Upgraded a Heuristic with ML to Save Thousands of Canceled Orders](https:\u002F\u002Fdoordash.engineering\u002F2023\u002F01\u002F10\u002Fhow-doordash-upgraded-a-heuristic-with-ml-to-save-thousands-of-canceled-orders\u002F)                                                                          |   2023 |\n|      27 | Wayfair              | E-commerce and retail                     | Identify business customers                                   | [Hamlet: Wayfair's ML Approach to Identifying Business Shopper](https:\u002F\u002Fwww.aboutwayfair.com\u002Fcareers\u002Ftech-blog\u002Fhamlet)                                                                                                                                                             |   2023 |\n|      28 | Wayfair              | E-commerce and retail                     | Detect fraud with embeddings                                  | [Introducing Melange: A Customer Journey Embedding System for Improving Fraud and Policy Abuse Detection](https:\u002F\u002Fwww.aboutwayfair.com\u002Fcareers\u002Ftech-blog\u002Fintroducing-melange-a-customer-journey-embedding-system-for-improving-fraud-and-scam-detection)                           |   2023 |\n|      29 | Airbnb               | Travel,E-commerce and retail              | Improve travel search experience                              | [Building Airbnb Categories with ML & Human in the Loop](https:\u002F\u002Fmedium.com\u002Fairbnb-engineering\u002Fbuilding-airbnb-categories-with-ml-human-in-the-loop-35b78a837725)                                                                                                                  |   2023 |\n|      30 | Spotify              | Media and streaming                       | Automatically generate ad content                             | [How We Automated Content Marketing to Acquire Users at Scale](https:\u002F\u002Fengineering.atspotify.com\u002F2023\u002F11\u002Fhow-we-automated-content-marketing-to-acquire-users-at-scale\u002F)                                                                                                            |   2023 |\n|      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](https:\u002F\u002Ftech.instacart.com\u002Fhow-instacart-modernized-the-prediction-of-real-time-availability-for-hundreds-of-millions-of-items-59b2a82c89fe)              |   2023 |\n|      32 | Linkedin             | Social platforms                          | Personalize the homepage feed                                 | [Enhancing homepage feed relevance by harnessing the power of large corpus sparse ID embeddings](https:\u002F\u002Fengineering.linkedin.com\u002Fblog\u002F2023\u002Fenhancing-homepage-feed-relevance-by-harnessing-the-power-of-lar)                                                                      |   2023 |\n|      33 | Doordash             | Delivery and mobility                     | Forecast order volumes and deliveries                         | [How DoorDash Built an Ensemble Learning Model for Time Series Forecasting](https:\u002F\u002Fdoordash.engineering\u002F2023\u002F06\u002F20\u002Fhow-doordash-built-an-ensemble-learning-model-for-time-series-forecasting\u002F)                                                                                    |   2023 |\n|      34 | Expedia              | Travel,E-commerce and retail              | Forecast flight prices                                        | [Using Synthetic Search Data for Flights Price Forecasting](https:\u002F\u002Fmedium.com\u002Fexpedia-group-tech\u002Fusing-synthetic-search-data-for-flights-price-forecasting-4cf3277afdaf)                                                                                                          |   2023 |\n|      35 | Nextdoor             | Social platforms                          | Generate engaging email subject lines                         | [Let AI Entertain You: Increasing User Engagement with Generative AI and Rejection Sampling](https:\u002F\u002Fengblog.nextdoor.com\u002Flet-ai-entertain-you-increasing-user-engagement-with-generative-ai-and-rejection-sampling-50a402264f56)                                                  |   2023 |\n|      36 | Criteo               | Tech                                      | Figure out users' preferences                                 | [Recommender systems need a user model](https:\u002F\u002Fmedium.com\u002Fcriteo-engineering\u002Frecommender-systems-need-a-user-model-c3b3790311bf)                                                                                                                                                  |   2023 |\n|      37 | Apple                | Tech                                      | Identify objects on images                                    | [Fast Class-Agnostic Salient Object Segmentation](https:\u002F\u002Fmachinelearning.apple.com\u002Fresearch\u002Fsalient-object-segmentation)                                                                                                                                                          |   2023 |\n|      38 | Zillow               | E-commerce and retail                     | Identify and block unwanted callers                           | [SpectroBrain: Detecting Phone Spam with Semi-Supervised Learning](https:\u002F\u002Fwww.zillow.com\u002Ftech\u002Fspectrobrain-detecting-phone-spam-with-semi-supervised-learning\u002F)                                                                                                                   |   2023 |\n|      39 | Algolia              | Tech                                      | Suggest relevant search queries                               | [Feature Spotlight: Query Suggestions](https:\u002F\u002Fwww.algolia.com\u002Fblog\u002Fproduct\u002Ffeature-spotlight-query-suggestions\u002F)                                                                                                                                                                  |   2023 |\n|      40 | Netflix              | Media and streaming                       | In-video search                                               | [Building In-Video Search](https:\u002F\u002Fnetflixtechblog.com\u002Fbuilding-in-video-search-936766f0017c)                                                                                                                                                                                      |   2023 |\n|      41 | Grab                 | Delivery and mobility,Banking and finance | Automatically tag sensitive data                              | [LLM-powered data classification for data entities at scale](https:\u002F\u002Fengineering.grab.com\u002Fllm-powered-data-classification)                                                                                                                                                         |   2023 |\n|      42 | Doordash             | Delivery and mobility                     | Accurately forecast demand during holidays                    | [How DoorDash Improves Holiday Predictions via Cascade ML Approach](https:\u002F\u002Fdoordash.engineering\u002F2023\u002F08\u002F31\u002Fhow-doordash-improves-holiday-predictions-via-cascade-ml-approach\u002F)                                                                                                    |   2023 |\n|      43 | Netflix              | Media and streaming                       | Personalize video clips                                       | [The Next Step in Personalization: Dynamic Sizzles](https:\u002F\u002Fnetflixtechblog.com\u002Fthe-next-step-in-personalization-dynamic-sizzles-4dc4ce2011ef)                                                                                                                                     |   2023 |\n|      44 | BlaBlaCar            | Delivery and mobility                     | Prevent phishing and payment fraud                            | [How we used machine learning to fight fraud at BlaBlaCar — Part 1](https:\u002F\u002Fmedium.com\u002Fblablacar\u002Fhow-we-used-machine-learning-to-fight-fraud-at-blablacar-part-1-3b976c9dcdf6)                                                                                                     |   2023 |\n|      45 | Instacart            | E-commerce and retail                     | Personalize user experience by recommending relevant products | [Using Contextual Bandit models in large action spaces at Instacart](https:\u002F\u002Ftech.instacart.com\u002Fusing-contextual-bandit-models-in-large-action-spaces-at-instacart-cb7ab4d8fa4f)                                                                                                   |   2023 |\n|      46 | Pinterest            | Social platforms                          | Recommend similar visual content                              | [Training Foundation Improvements for Closeup Recommendation Ranker](https:\u002F\u002Fmedium.com\u002Fpinterest-engineering\u002Ftraining-foundation-improvements-for-closeup-recommendation-ranker-67d90603426e)                                                                                     |   2023 |\n|      47 | Spotify              | Media and streaming                       | Recommend new complementary music                             | [Spotify Track Neural Recommender System](https:\u002F\u002Fmedium.com\u002Fstanford-cs224w\u002Fspotify-track-neural-recommender-system-51d266e31e16)                                                                                                                                                 |   2023 |\n|      48 | Meta                 | Social platforms                          | Generate code with LLM                                        | [Introducing Code Llama, a state-of-the-art large language model for coding](https:\u002F\u002Fai.meta.com\u002Fblog\u002Fcode-llama-large-language-model-coding\u002F)                                                                                                                                     |   2023 |\n|      49 | Grammarly            | Tech                                      | Suggest gender-inclusive grammatical error corrections        | [Improving the Performance of NLP Systems on the Gender-Neutral “They”](https:\u002F\u002Farxiv.org\u002Fabs\u002F2306.07415)                                                                                                                                                                          |   2023 |\n|      50 | Netflix              | Media and streaming                       | Detect speech and music in audio                              | [Detecting Speech and Music in Audio Content](https:\u002F\u002Fnetflixtechblog.com\u002Fdetecting-speech-and-music-in-audio-content-afd64e6a5bf8)                                                                                                                                                |   2023 |\n|      51 | Salesforce           | Tech                                      | Extract relevant information from a knowledge article         | [Resolve Cases Quickly with Interactive Einstein Search Answers](https:\u002F\u002Fblog.salesforceairesearch.com\u002Feinstein-search-answers\u002F)                                                                                                                                                   |   2023 |\n|      52 | Etsy                 | E-commerce and retail                     | Show relevant ads                                             | [Leveraging Real-Time User Actions to Personalize Etsy Ads](https:\u002F\u002Farxiv.org\u002Fpdf\u002F2302.01255.pdf)                                                                                                                                                                                  |   2023 |\n|      53 | GitHub               | Tech                                      | AI copilot for code generation                                | [How to build an enterprise LLM application: Lessons from GitHub Copilot](https:\u002F\u002Fgithub.blog\u002F2023-09-06-how-to-build-an-enterprise-llm-application-lessons-from-github-copilot\u002F)                                                                                                  |   2023 |\n|      54 | Uber                 | Delivery and mobility                     | Detect potential fraudulent entities                          | [Risk Entity Watch – Using Anomaly Detection to Fight Fraud](https:\u002F\u002Fwww.uber.com\u002Fen-IN\u002Fblog\u002Frisk-entity-watch\u002F?uclick_id=9c4355d3-795f-4b1d-b18e-4b8b4c8ed29f)                                                                                                                    |   2023 |\n|      55 | Expedia              | Travel,E-commerce and retail              | Predict Customer Lifetime Value (CLV)                         | [Expedia Group’s Customer Lifetime Value Prediction Model](https:\u002F\u002Fmedium.com\u002Fexpedia-group-tech\u002Fexpedia-groups-customer-lifetime-value-prediction-model-7927cdd44342)                                                                                                             |   2023 |\n|      56 | Dailymotion          | Media and streaming                       | Recommend diversified video content                           | [Reinvent your recommender system using Vector Database and Opinion Mining](https:\u002F\u002Fmedium.com\u002Fdailymotion\u002Freinvent-your-recommender-system-using-vector-database-and-opinion-mining-a4fadf97d020)                                                                                 |   2023 |\n|      57 | Swiggy               | Delivery and mobility                     | Predict food delivery time                                    | [Where is my order? — Part I](https:\u002F\u002Fbytes.swiggy.com\u002Fhow-ml-powers-when-is-my-order-coming-part-i-4ef24eae70da)                                                                                                                                                                  |   2023 |\n|      58 | Swiggy               | Delivery and mobility                     | Сonversational and open-ended search                          | [Swiggy’s Generative AI Journey: A Peek Into the Future](https:\u002F\u002Fbytes.swiggy.com\u002Fswiggys-generative-ai-journey-a-peek-into-the-future-2193c7166d9a)                                                                                                                               |   2023 |\n|      59 | New York Times       | Media and streaming                       | Recommend recipes to readers                                  | [How The New York Times Cooking Team Makes Personalized Recipe Recommendations](https:\u002F\u002Fopen.nytimes.com\u002Fhow-the-new-york-times-cooking-team-makes-personalized-recipe-recommendations-7b86df9b22ec)                                                                               |   2023 |\n|      60 | Expedia              | Travel,E-commerce and retail              | Suggest diverse travel recommendations                        | [Generating Diverse Travel Recommendations](https:\u002F\u002Fmedium.com\u002Fexpedia-group-tech\u002Fgenerating-diverse-travel-recommendations-76688f49c812)                                                                                                                                          |   2023 |\n|      61 | Stitch Fix           | E-commerce and retail                     | Personalize styling recommendations                           | [Accelerating AI: Implementing Multi-GPU Distributed Training for Personalized Recommendations](https:\u002F\u002Fmultithreaded.stitchfix.com\u002Fblog\u002F2023\u002F06\u002F08\u002Fdistributed-model-training\u002F)                                                                                                   |   2023 |\n|      62 | Doordash             | Delivery and mobility                     | Areas for using Generative AI                                 | [DoorDash identifies Five big areas for using Generative AI](https:\u002F\u002Fdoordash.engineering\u002F2023\u002F04\u002F26\u002Fdoordash-identifies-five-big-areas-for-using-generative-ai\u002F)                                                                                                                  |   2023 |\n|      63 | Etsy                 | E-commerce and retail                     | Search by image                                               | [From Image Classification to Multitask Modeling: Building Etsy’s Search by Image Feature](https:\u002F\u002Fwww.etsy.com\u002Fcodeascraft\u002Ffrom-image-classification-to-multitask-modeling-building-etsys-search-by-image-feature)                                                                |   2023 |\n|      64 | Spotify              | Media and streaming                       | Generate audio podcast previews                               | [Large-Scale Generation of ML Podcast Previews at Spotify with Google Dataflow](https:\u002F\u002Fengineering.atspotify.com\u002F2023\u002F04\u002Flarge-scale-generation-of-ml-podcast-previews-at-spotify-with-google-dataflow\u002F)                                                                          |   2023 |\n|      65 | Delivery Hero        | Delivery and mobility                     | Better understand user behavior                               | [Personalisation @ Delivery Hero: Understanding Customers](https:\u002F\u002Ftech.deliveryhero.com\u002Fpersonalisation-at-delivery-hero-understanding-customers\u002F)                                                                                                                                |   2023 |\n|      66 | Swiggy               | Delivery and mobility                     | Predict food delivery time                                    | [Predicting Food Delivery Time at Cart](https:\u002F\u002Fbytes.swiggy.com\u002Fpredicting-food-delivery-time-at-cart-cda23a84ba63)                                                                                                                                                               |   2023 |\n|      67 | Netflix              | Media and streaming                       | Generate content recommendations for users                    | [Lessons Learnt From Consolidating ML Models in a Large Scale Recommendation System](https:\u002F\u002Fnetflixtechblog.medium.com\u002Flessons-learnt-from-consolidating-ml-models-in-a-large-scale-recommendation-system-870c5ea5eb4a )                                                          |   2023 |\n|      68 | Linkedin             | Social platforms                          | Show relevant jobs in search                                  | [How LinkedIn Is Using Embeddings to Up Its Match Game for Job Seekers](https:\u002F\u002Fengineering.linkedin.com\u002Fblog\u002F2023\u002Fhow-linkedin-is-using-embeddings-to-up-its-match-game-for-job-se)                                                                                               |   2023 |\n|      69 | Expedia              | Travel,E-commerce and retail              | Alert users about optimal deals                               | [Increasing Travelers’ Engagement Through Price Alerts](https:\u002F\u002Fmedium.com\u002Fexpedia-group-tech\u002Fincreasing-travelers-engagement-through-relevant-price-alerts-at-expedia-group-75aa6a377864)                                                                                         |   2023 |\n|      70 | Walmart              | E-commerce and retail                     | Resolve entities and detect relationships                     | [Exploring an Entity Resolution Framework Across Various Use Cases](https:\u002F\u002Fmedium.com\u002Fwalmartglobaltech\u002Fexploring-an-entity-resolution-framework-across-various-use-cases-cb172632e4ae)                                                                                           |   2023 |\n|      71 | Thoughtworks         | Tech                                      | AI copilot for product strategy                               | [Building Boba AI](https:\u002F\u002Fmartinfowler.com\u002Farticles\u002Fbuilding-boba.html)                                                                                                                                                                                                           |   2023 |\n|      72 | Grab                 | Delivery and mobility,Banking and finance | Automatically detect new fraud types                          | [Unsupervised graph anomaly detection - Catching new fraudulent behaviours](https:\u002F\u002Fengineering.grab.com\u002Fgraph-anomaly-model)                                                                                                                                                      |   2023 |\n|      73 | Dropbox              | Tech                                      | Identify date formats in file names                           | [Is this a date? Using ML to identify date formats in file names](https:\u002F\u002Fdropbox.tech\u002Fmachine-learning\u002Fusing-ml-to-identify-date-formats-in-file-names)                                                                                                                           |   2023 |\n|      74 | Grab                 | Delivery and mobility,Banking and finance | Сreate scalable lookalike audiences                           | [Stepping up marketing for advertisers: Scalable lookalike audience](https:\u002F\u002Fengineering.grab.com\u002Fscalable-lookalike-audiences)                                                                                                                                                    |   2023 |\n|      75 | Wayfair              | E-commerce and retail                     | Send relevant communications to customers                     | [Griffin: How Wayfair Leverages Reinforcement Learning to Send Customers Relevant Communications](https:\u002F\u002Fwww.aboutwayfair.com\u002Fcareers\u002Ftech-blog\u002Fgriffin-how-wayfair-leverages-reinforcement-learning-to-send-customers-relevant-communications)                                   |   2023 |\n|      76 | Whatnot              | E-commerce and retail                     | Detect marketplace spam                                       | [How Whatnot Utilizes Generative AI to Enhance Trust and Safety](https:\u002F\u002Fmedium.com\u002Fwhatnot-engineering\u002Fhow-whatnot-utilizes-generative-ai-to-enhance-trust-and-safety-c7968eb6315e)                                                                                               |   2023 |\n|      77 | Instacart            | E-commerce and retail                     | Predict grocery item availability                             | [How Instacart’s Item Availability Evolved Over the Pandemic](https:\u002F\u002Fwww.instacart.com\u002Fcompany\u002Fhow-its-made\u002Fhow-instacarts-item-availability-evolved-over-the-pandemic\u002F)                                                                                                          |   2023 |\n|      78 | Instacart            | E-commerce and retail                     | Predict availability of food items                            | [Instacart’s Item Availability Architecture: Solving for scale and consistency](https:\u002F\u002Ftech.instacart.com\u002Finstacarts-item-availability-architecture-solving-for-scale-and-consistency-f5661acb20a6)                                                                               |   2023 |\n|      79 | BlaBlaCar            | Delivery and mobility                     | Prevent phishing and payment fraud                            | [How we built our machine learning pipeline to fight fraud at BlaBlaCar — Part 2](https:\u002F\u002Fmedium.com\u002Fblablacar\u002Fhow-we-built-our-machine-learning-pipeline-to-fight-fraud-at-blablacar-part-2-476335f459b4)                                                                         |   2023 |\n|      80 | Salesforce           | Tech                                      | Summarize Slack conversations                                 | [AI Summarist: Get Your Time Back on Slack, Boost Productivity & Focus, Personalize Information Consumption](https:\u002F\u002Fblog.salesforceairesearch.com\u002Fai-summarist-slack-productivity)                                                                                                |   2023 |\n|      81 | Meta                 | Social platforms                          | Show users relevant content at scale                          | [Scaling the Instagram Explore recommendations system](https:\u002F\u002Fengineering.fb.com\u002F2023\u002F08\u002F09\u002Fml-applications\u002Fscaling-instagram-explore-recommendations-system\u002F)                                                                                                                    |   2023 |\n|      82 | Delivery Hero        | Delivery and mobility                     | Recommend restaurants for new customers                       | [Personalisation @ Delivery Hero: Ranking restaurants for new users](https:\u002F\u002Ftech.deliveryhero.com\u002Fpersonalisation-delivery-hero-ranking-restaurants-for-new-users\u002F)                                                                                                               |   2023 |\n|      83 | Swiggy               | Delivery and mobility                     | Predict food delivery time                                    | [How ML Powers — When is my order coming? — Part II](https:\u002F\u002Fbytes.swiggy.com\u002Fhow-ml-powers-when-is-my-order-coming-part-ii-eae83575e3a9)                                                                                                                                          |   2023 |\n|      84 | Salesforce           | Tech                                      | Recommend apps in the marketplace                             | [On the Diversity and Explainability of Enterprise App Recommendation Systems](https:\u002F\u002Fblog.salesforceairesearch.com\u002Fdiversity-explainability-enterprise-app-recommendation-systems\u002F)                                                                                              |   2023 |\n|      85 | Grab                 | Delivery and mobility,Banking and finance | Optimize promotional campaigns                                | [Scaling marketing for merchants with targeted and intelligent promos](https:\u002F\u002Fengineering.grab.com\u002Fscaling-marketing-for-merchants)                                                                                                                                               |   2023 |\n|      86 | GitHub               | Tech                                      | Automated code reviews and PR tagging                         | [Generative AI-enabled compliance for software development](https:\u002F\u002Fgithub.blog\u002F2023-04-11-generative-ai-enabled-compliance-for-software-development)                                                                                                                              |   2023 |\n|      87 | Delivery Hero        | Delivery and mobility                     | Recommend restaurants                                         | [Don’t Worry, We Got You: Personalised Model](https:\u002F\u002Ftech.deliveryhero.com\u002Fdont-worry-we-got-you-personalised-model-2\u002F)                                                                                                                                                           |   2023 |\n|      88 | OLX                  | E-commerce and retail                     | Predict order delivery time                                   | [Machine Learning for Delivery Time Estimation](https:\u002F\u002Ftech.olx.com\u002Fmachine-learning-for-delivery-time-estimation-1-591c8df849a0)                                                                                                                                                 |   2023 |\n|      89 | Spotify              | Media and streaming                       | Target in-app messaging                                       | [Experimenting with Machine Learning to Target In-App Messaging](https:\u002F\u002Fengineering.atspotify.com\u002F2023\u002F06\u002Fexperimenting-with-machine-learning-to-target-in-app-messaging\u002F)                                                                                                        |   2023 |\n|      90 | Nubank               | Fintech and banking                       | Automatically route customer phone calls                      | [Presenting Precog, Nubank’s Real Time Event AI](https:\u002F\u002Fbuilding.nubank.com.br\u002Fpresenting-precog-nubanks-real-time-event-ai\u002F)                                                                                                                                                     |   2023 |\n|      91 | Instacart            | E-commerce and retail                     | Build an internal AI assistant                                | [Scaling Productivity with Ava — Instacart’s Internal AI Assistant](https:\u002F\u002Ftech.instacart.com\u002Fscaling-productivity-with-ava-instacarts-internal-ai-assistant-ed7f02558d84)                                                                                                        |   2023 |\n|      92 | Meta                 | Social platforms                          | Translate and transcribe across speech and text               | [Bringing the world closer together with a foundational multimodal model for speech translation](https:\u002F\u002Fai.meta.com\u002Fblog\u002Fseamless-m4t\u002F)                                                                                                                                           |   2023 |\n|      93 | Vimeo                | Media and streaming                       | Customer support AI assistant                                 | [From idea to reality: Elevating our customer support through generative AI](https:\u002F\u002Fmedium.com\u002Fvimeo-engineering-blog\u002Ffrom-idea-to-reality-elevating-our-customer-support-through-generative-ai-101a2c5ea680)                                                                     |   2023 |\n|      94 | Ebay                 | E-commerce and retail                     | Recommend relevant e-commerce items                           | [Building a Deep Learning Based Retrieval System for Personalized Recommendations](https:\u002F\u002Ftech.ebayinc.com\u002Fengineering\u002Fbuilding-a-deep-learning-based-retrieval-system-for-personalized-recommendations\u002F)                                                                         |   2022 |\n|      95 | Mercado Libre        | Delivery and mobility                     | Predict product dimensions for delivery                       | [Predicting package dimensions based on a similarity model at Mercado Libre](https:\u002F\u002Fmedium.com\u002Fmercadolibre-tech\u002Fpredicting-package-dimensions-based-on-a-similarity-model-at-mercado-libre-d64a9dd4351d)                                                                         |   2022 |\n|      96 | Doordash             | Delivery and mobility                     | Recommend substitute items                                    | [Evolving DoorDash’s Substitution Recommendations Algorithm](https:\u002F\u002Fdoordash.engineering\u002F2022\u002F09\u002F08\u002Fevolving-doordashs-substitution-recommendations-algorithm\u002F)                                                                                                                   |   2022 |\n|      97 | Pinterest            | Social platforms                          | Personalize homepage contents                                 | [How Pinterest Leverages Realtime User Actions in Recommendation to Boost Homefeed Engagement Volume](https:\u002F\u002Fmedium.com\u002Fpinterest-engineering\u002Fhow-pinterest-leverages-realtime-user-actions-in-recommendation-to-boost-homefeed-engagement-volume-165ae2e8cde8 )                  |   2022 |\n|      98 | Instacart            | Delivery and mobility                     | Search food and grocery items                                 | [How Instacart Uses Embeddings to Improve Search Relevance](https:\u002F\u002Ftech.instacart.com\u002Fhow-instacart-uses-embeddings-to-improve-search-relevance-e569839c3c36)                                                                                                                     |   2022 |\n|      99 | Walmart              | E-commerce and retail                     | Assist in e-commerce shopping                                 | [A Unified Multi-task Model for Supporting Multiple Virtual Assistants in Walmart](https:\u002F\u002Fmedium.com\u002Fwalmartglobaltech\u002Fa-unified-multi-task-model-for-supporting-multiple-virtual-assistants-in-walmart-2b077c2c96e)                                                              |   2022 |\n|     100 | Spotify              | Media and streaming                       | Search for podcasts                                           | [Introducing Natural Language Search for Podcast Episodes](https:\u002F\u002Fengineering.atspotify.com\u002F2022\u002F03\u002Fintroducing-natural-language-search-for-podcast-episodes\u002F)                                                                                                                    |   2022 |\n|     101 | Nextdoor             | Social platforms                          | Predict harmful comments                                      | [Using predictive technology to foster constructive conversations](https:\u002F\u002Fengblog.nextdoor.com\u002Fusing-predictive-technology-to-foster-constructive-conversations-4af437942bd4)                                                                                                     |   2022 |\n|     102 | Walmart              | E-commerce and retail                     | Fill shopping cart via voice dialog                           | [Voice Reorder Experience: add Multiple Product Items to your shopping cart](https:\u002F\u002Fmedium.com\u002Fwalmartglobaltech\u002Fvoice-reorder-experience-add-multiple-product-items-to-your-shopping-cart-59d20fc61797)                                                                          |   2022 |\n|     103 | Expedia              | Travel,E-commerce and retail              | Categorize customer feedback                                  | [Categorising Customer Feedback Using Unsupervised Learning](https:\u002F\u002Fmedium.com\u002Fexpedia-group-tech\u002Fcategorising-customer-feedback-using-unsupervised-learning-8608c1e62d48)                                                                                                        |   2022 |\n|     104 | Foodpanda            | Delivery and mobility                     | Classify restaurants and cuisines                             | [Classifying restaurant cuisines with subjective labels](https:\u002F\u002Fmedium.com\u002Ffoodpanda-data\u002Fclassifying-restaurant-cuisines-with-subjective-labels-fa10012d18a9 )                                                                                                                   |   2022 |\n|     105 | Ebay                 | Social platforms                          | Recommend products and content                                | [Multi-Relevance Ranking Model for Similar Item Recommendation](https:\u002F\u002Ftech.ebayinc.com\u002Fengineering\u002Fmulti-relevance-ranking-model-for-similar-item-recommendation\u002F)                                                                                                               |   2022 |\n|     106 | Gousto               | Delivery and mobility                     | Predict subscription churn                                    | [Using Data Science to Retain Customers](https:\u002F\u002Fmedium.com\u002Fgousto-engineering-techbrunch\u002Fusing-data-science-to-retain-customers-63f19a03a0b6)                                                                                                                                     |   2022 |\n|     107 | Google               | Tech                                      | Generate summaries                                            | [Auto-generated Summaries in Google Docs](https:\u002F\u002Fai.googleblog.com\u002F2022\u002F03\u002Fauto-generated-summaries-in-google-docs.html)                                                                                                                                                          |   2022 |\n|     108 | Yelp                 | Social platforms                          | Personalize recommendations                                   | [Beyond Matrix Factorization: Using hybrid features for user-business recommendations](https:\u002F\u002Fengineeringblog.yelp.com\u002F2022\u002F04\u002Fbeyond-matrix-factorization-using-hybrid-features-for-user-business-recommendations.html)                                                          |   2022 |\n|     109 | PayPal               | Fintech and banking                       | Prioritize sales leads                                        | [Sales Pipeline Management with Machine Learning: A Lightweight Two-Layer Ensemble Classifier Framework](https:\u002F\u002Fmedium.com\u002Fpaypal-tech\u002Fsales-pipeline-management-with-machine-learning-15398bab913b)                                                                              |   2022 |\n|     110 | Grubhub              | Delivery and mobility                     | Forecast order volume                                         | [Forecasting Grubhub Order Volume At Scale](https:\u002F\u002Fbytes.grubhub.com\u002Fforecasting-grubhub-order-volume-at-scale-a966c2f901d2)                                                                                                                                                      |   2022 |\n|     111 | Github               | Tech                                      | Detect vulnerabilities in code                                | [Leveraging machine learning to find security vulnerabilities](https:\u002F\u002Fgithub.blog\u002F2022-02-17-leveraging-machine-learning-find-security-vulnerabilities\u002F)                                                                                                                          |   2022 |\n|     112 | Uber                 | Delivery and mobility                     | Detect payment fraud                                          | [Project RADAR: Intelligent Early Fraud Detection System with Humans in the Loop](https:\u002F\u002Fwww.uber.com\u002Fen-GB\u002Fblog\u002Fproject-radar-intelligent-early-fraud-detection\u002F)                                                                                                                |   2022 |\n|     113 | Gojek                | Delivery and mobility                     | Predict food delivery times                                   | [How We Estimate Food Debarkation Time With 'Tensoba'](https:\u002F\u002Fwww.gojek.io\u002Fblog\u002Ffood-debarkation-tensoba)                                                                                                                                                                         |   2022 |\n|     114 | Uber                 | Delivery and mobility                     | Predict estimated time of arrival                             | [DeepETA: How Uber Predicts Arrival Times Using Deep Learning](https:\u002F\u002Fwww.uber.com\u002Fen-GB\u002Fblog\u002Fdeepeta-how-uber-predicts-arrival-times\u002F)                                                                                                                                           |   2022 |\n|     115 | Trivago              | Travel,E-commerce and retail              | Optimize accommodation ranking                                | [Explore-exploit dilemma in Ranking model](https:\u002F\u002Ftech.trivago.com\u002Fpost\u002F2022-11-04-explore-exploit-dilemma-in-ranking-model)                                                                                                                                                      |   2022 |\n|     116 | Gousto               | Delivery and mobility                     | Recommend food items and recipes                              | [Gousto R-series Vol 2: Tackling the Cold-Start Problem in Recipe Recommendation Engine](https:\u002F\u002Fmedium.com\u002Fgousto-engineering-techbrunch\u002Fgousto-r-series-vol-2-tackling-the-cold-start-problem-in-recipe-recommendation-engine-af92a434805f)                                      |   2022 |\n|     117 | Spotify              | Media and streaming                       | Forecast user activity metrics                                | [How We Built Infrastructure to Run User Forecasts at Spotify](https:\u002F\u002Fengineering.atspotify.com\u002F2022\u002F06\u002Fhow-we-built-infrastructure-to-run-user-forecasts-at-spotify\u002F )                                                                                                           |   2022 |\n|     118 | Google               | Tech                                      | Summarize conversations                                       | [Conversation Summaries in Google Chat](https:\u002F\u002Fai.googleblog.com\u002F2022\u002F11\u002Fconversation-summaries-in-google-chathtml)    |   2022 |                                                                                                                                                           |        |\n|     119 | Airbnb               | Travel,E-commerce and retail              | Improve travel search experience                              | [Building Airbnb Categories with ML and Human-in-the-Loop](https:\u002F\u002Fmedium.com\u002Fairbnb-engineering\u002Fbuilding-airbnb-categories-with-ml-and-human-in-the-loop-e97988e70ebb)                                                                                                            |   2022 |\n|     120 | Uber                 | Delivery and mobility                     | Send timely push notifications                                | [How Uber Optimizes the Timing of Push Notifications using ML and Linear Programming](https:\u002F\u002Fwww.uber.com\u002Fen-US\u002Fblog\u002Fhow-uber-optimizes-push-notifications-using-ml\u002F)                                                                                                             |   2022 |\n|     121 | Meta                 | Social platforms                          | Personalize daily digest notifications                        | [Improving Instagram notification management with machine learning and causal inference](https:\u002F\u002Fengineering.fb.com\u002F2022\u002F10\u002F31\u002Fml-applications\u002Finstagram-notification-management-machine-learning\u002F)                                                                                |   2022 |\n|     122 | Instacart            | Delivery and mobility                     | Recommend relevant food items                                 | [Personalizing Recommendations for a Learning User](https:\u002F\u002Fwww.instacart.com\u002Fcompany\u002Fhow-its-made\u002Fpersonalizing-recommendations-for-a-learning-user\u002F)                                                                                                                             |   2022 |\n|     123 | Expedia              | Travel,E-commerce and retail              | Rank relevant travel deals                                    | [How to Optimise Rankings with Cascade Bandits](https:\u002F\u002Fmedium.com\u002Fexpedia-group-tech\u002Fhow-to-optimise-rankings-with-cascade-bandits-5d92dfa0f16b)                                                                                                                                  |   2022 |\n|     124 | Doordash             | Delivery and mobility                     | Personalize recommendations on homepage                       | [Homepage Recommendation with Exploitation and Exploration](https:\u002F\u002Fdoordash.engineering\u002F2022\u002F10\u002F05\u002Fhomepage-recommendation-with-exploitation-and-exploration\u002F)                                                                                                                    |   2022 |\n|     125 | Linkedin             | Social platforms                          | Improve post search functionality                             | [Improving Post Search at LinkedIn](https:\u002F\u002Fengineering.linkedin.com\u002Fblog\u002F2022\u002Fimproving-post-search-at-linkedin)                                                                                                                                                                  |   2022 |\n|     126 | Artefact             | Tech                                      | Evaluate success of past promotions                           | [Forecasting something that never happened: how we estimated past promotions profitability](https:\u002F\u002Fmedium.com\u002Fartefact-engineering-and-data-science\u002Fforecasting-something-that-never-happened-how-we-estimated-past-promotions-profitability-5f55cfa1d477)                        |   2022 |\n|     127 | Doordash             | Delivery and mobility                     | Find high-value merchants                                     | [Building the Model Behind DoorDash’s Expansive Merchant Selection](https:\u002F\u002Fdoordash.engineering\u002F2022\u002F04\u002F19\u002Fbuilding-merchant-selection\u002F)                                                                                                                                          |   2022 |\n|     128 | Grammarly            | Tech                                      | Suggest text edits                                            | [Under the Hood of the Grammarly Editor, Part Two: How Suggestions Work](https:\u002F\u002Fwww.grammarly.com\u002Fblog\u002Fengineering\u002Fhow-suggestions-work-grammarly-editor\u002F)                                                                                                                        |   2022 |\n|     129 | Amazon               | Media and streaming                       | Suggest music to listen to                                    | [The Amazon Music conversational recommender is hitting the right notes](https:\u002F\u002Fwww.amazon.science\u002Flatest-news\u002Fhow-amazon-music-uses-recommendation-system-machine-learning)                                                                                                      |   2022 |\n|     130 | Snap                 | Social platforms                          | Rank relevant ads                                             | [Machine Learning for Snapchat Ad Ranking](https:\u002F\u002Feng.snap.com\u002Fmachine-learning-snap-ad-ranking)                                                                                                                                                                                  |   2022 |\n|     131 | Instacart            | E-commerce and retail                     | Autocomplete user searches in e-commerce                      | [How Instacart Uses Machine Learning-Driven Autocomplete to Help People Fill Their Carts](https:\u002F\u002Ftech.instacart.com\u002Fhow-instacart-uses-machine-learning-driven-autocomplete-to-help-people-fill-their-carts-9bc56d22bafb)                                                         |   2022 |\n|     132 | Zillow               | E-commerce and retail                     | Select tags for product listings                              | [Helping Home Shoppers Find a Home to Love Through Home Insights](https:\u002F\u002Fwww.zillow.com\u002Ftech\u002Fhelping-shoppers-find-a-home-using-home-insights\u002F)                                                                                                                                   |   2022 |\n|     133 | Netflix              | Media and streaming                       | Detect account or content fraud                               | [Machine Learning for Fraud Detection in Streaming Services](https:\u002F\u002Fnetflixtechblog.medium.com\u002Fmachine-learning-for-fraud-detection-in-streaming-services-b0b4ef3be3f6)                                                                                                           |   2022 |\n|     134 | Airbnb               | Travel,E-commerce and retail              | Improve customer support                                      | [How AI Text Generation Models Are Reshaping Customer Support at Airbnb](https:\u002F\u002Fmedium.com\u002Fairbnb-engineering\u002Fhow-ai-text-generation-models-are-reshaping-customer-support-at-airbnb-a851db0b4fa3)                                                                                |   2022 |\n|     135 | Linkedin             | Social platforms                          | Predict churn and upsell products                             | [The journey to build an explainable AI-driven recommendation system](https:\u002F\u002Fengineering.linkedin.com\u002Fblog\u002F2022\u002Fthe-journey-to-build-an-explainable-ai-driven-recommendation-sys)                                                                                                 |   2022 |\n|     136 | Autotrader           | E-commerce and retail                     | Personalize automotive search results                         | [Real-Time Personalisation of Search Results with Auto Trader's Customer Data Platform](https:\u002F\u002Fengineering.autotrader.co.uk\u002F2022\u002F11\u002F23\u002Freal-time-personalisation-of-search-results-with-auto-traders-customer-data-platform.html)                                                 |   2022 |\n|     137 | Peloton              | Tech                                      | Recommend fitness training videos                             | [How We Built: An Early-Stage Machine Learning Model for Recommendations](https:\u002F\u002Fwww.onepeloton.com\u002Fpress\u002Farticles\u002Fhow-we-built-machine-learning)                                                                                                                                 |   2022 |\n|     138 | Walmart              | E-commerce and retail                     | Categorize e-commerce products                                | [Semantic Label Representation with an Application on Multimodal Product Categorization](https:\u002F\u002Fmedium.com\u002Fwalmartglobaltech\u002Fsemantic-label-representation-with-an-application-on-multimodal-product-categorization-63d668b943b7)                                                 |   2022 |\n|     139 | Doordash             | Delivery and mobility                     | Search food and grocery items                                 | [3 Changes to Expand DoorDash’s Product Search Beyond Delivery](https:\u002F\u002Fdoordash.engineering\u002F2022\u002F05\u002F10\u002F3-changes-to-expand-doordashs-product-search\u002F)                                                                                                                             |   2022 |\n|     140 | Faire                | E-commerce and retail                     | Rank e-commerce items (feature store)                         | [Real-time ranking at Faire part 2: the feature store](https:\u002F\u002Fcraft.faire.com\u002Freal-time-ranking-at-faire-part-2-the-feature-store-3f1013d3fe5d)                                                                                                                                   |   2022 |\n|     141 | New York Times       | Media and streaming                       | Personalize paywall limits                                    | [How The New York Times Uses Machine Learning To Make Its Paywall Smarter](https:\u002F\u002Fopen.nytimes.com\u002Fhow-the-new-york-times-uses-machine-learning-to-make-its-paywall-smarter-e5771d5f46f8)                                                                                         |   2022 |\n|     142 | Linkedin             | Social platforms              ","该项目是一个精心整理的机器学习系统设计案例研究集合，包含了来自80多家公司的300多个案例。核心功能包括广泛覆盖不同行业的实际应用和技术见解，涵盖了计算机视觉、自然语言处理、推荐系统等多个机器学习应用场景。此外，还详细介绍了这些技术如何支持具体的产品特性，如语法错误纠正和服装搭配生成等功能。适合希望深入了解机器学习在实际产品和服务中如何被运用的技术人员、研究人员以及对ML系统设计感兴趣的学习者使用。",2,"2026-06-11 03:48:27","high_star"]