| 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 |
Criteo |
Tech |
Figure out users’ preferences |
Recommender systems need a user model |
2023 |
| 37 |
Apple |
Tech |
Identify objects on images |
Fast Class-Agnostic Salient Object Segmentation |
2023 |
| 38 |
Zillow |
E-commerce and retail |
Identify and block unwanted callers |
SpectroBrain: Detecting Phone Spam with Semi-Supervised Learning |
2023 |
| 39 |
Algolia |
Tech |
Suggest relevant search queries |
Feature Spotlight: Query Suggestions |
2023 |
| 40 |
Netflix |
Media and streaming |
In-video search |
Building In-Video Search |
2023 |
| 41 |
Grab |
Delivery and mobility,Banking and finance |
Automatically tag sensitive data |
LLM-powered data classification for data entities at scale |
2023 |
| 42 |
Doordash |
Delivery and mobility |
Accurately forecast demand during holidays |
How DoorDash Improves Holiday Predictions via Cascade ML Approach |
2023 |
| 43 |
Netflix |
Media and streaming |
Personalize video clips |
The Next Step in Personalization: Dynamic Sizzles |
2023 |
| 44 |
BlaBlaCar |
Delivery and mobility |
Prevent phishing and payment fraud |
How we used machine learning to fight fraud at BlaBlaCar — Part 1 |
2023 |
| 45 |
Instacart |
E-commerce and retail |
Personalize user experience by recommending relevant products |
Using Contextual Bandit models in large action spaces at Instacart |
2023 |
| 46 |
Pinterest |
Social platforms |
Recommend similar visual content |
Training Foundation Improvements for Closeup Recommendation Ranker |
2023 |
| 47 |
Spotify |
Media and streaming |
Recommend new complementary music |
Spotify Track Neural Recommender System |
2023 |
| 48 |
Meta |
Social platforms |
Generate code with LLM |
Introducing Code Llama, a state-of-the-art large language model for coding |
2023 |
| 49 |
Grammarly |
Tech |
Suggest gender-inclusive grammatical error corrections |
Improving the Performance of NLP Systems on the Gender-Neutral “They” |
2023 |
| 50 |
Netflix |
Media and streaming |
Detect speech and music in audio |
Detecting Speech and Music in Audio Content |
2023 |
| 51 |
Salesforce |
Tech |
Extract relevant information from a knowledge article |
Resolve Cases Quickly with Interactive Einstein Search Answers |
2023 |
| 52 |
Etsy |
E-commerce and retail |
Show relevant ads |
Leveraging Real-Time User Actions to Personalize Etsy Ads |
2023 |
| 53 |
GitHub |
Tech |
AI copilot for code generation |
How to build an enterprise LLM application: Lessons from GitHub Copilot |
2023 |
| 54 |
Uber |
Delivery and mobility |
Detect potential fraudulent entities |
Risk Entity Watch – Using Anomaly Detection to Fight Fraud |
2023 |
| 55 |
Expedia |
Travel,E-commerce and retail |
Predict Customer Lifetime Value (CLV) |
Expedia Group’s Customer Lifetime Value Prediction Model |
2023 |
| 56 |
Dailymotion |
Media and streaming |
Recommend diversified video content |
Reinvent your recommender system using Vector Database and Opinion Mining |
2023 |
| 57 |
Swiggy |
Delivery and mobility |
Predict food delivery time |
Where is my order? — Part I |
2023 |
| 58 |
Swiggy |
Delivery and mobility |
Сonversational and open-ended search |
Swiggy’s Generative AI Journey: A Peek Into the Future |
2023 |
| 59 |
New York Times |
Media and streaming |
Recommend recipes to readers |
How The New York Times Cooking Team Makes Personalized Recipe Recommendations |
2023 |
| 60 |
Expedia |
Travel,E-commerce and retail |
Suggest diverse travel recommendations |
Generating Diverse Travel Recommendations |
2023 |
| 61 |
Stitch Fix |
E-commerce and retail |
Personalize styling recommendations |
Accelerating AI: Implementing Multi-GPU Distributed Training for Personalized Recommendations |
2023 |
| 62 |
Doordash |
Delivery and mobility |
Areas for using Generative AI |
DoorDash identifies Five big areas for using Generative AI |
2023 |
| 63 |
Etsy |
E-commerce and retail |
Search by image |
From Image Classification to Multitask Modeling: Building Etsy’s Search by Image Feature |
2023 |
| 64 |
Spotify |
Media and streaming |
Generate audio podcast previews |
Large-Scale Generation of ML Podcast Previews at Spotify with Google Dataflow |
2023 |
| 65 |
Delivery Hero |
Delivery and mobility |
Better understand user behavior |
Personalisation @ Delivery Hero: Understanding Customers |
2023 |
| 66 |
Swiggy |
Delivery and mobility |
Predict food delivery time |
Predicting Food Delivery Time at Cart |
2023 |
| 67 |
Netflix |
Media and streaming |
Generate content recommendations for users |
Lessons Learnt From Consolidating ML Models in a Large Scale Recommendation System |
2023 |
| 68 |
Linkedin |
Social platforms |
Show relevant jobs in search |
How LinkedIn Is Using Embeddings to Up Its Match Game for Job Seekers |
2023 |
| 69 |
Expedia |
Travel,E-commerce and retail |
Alert users about optimal deals |
Increasing Travelers’ Engagement Through Price Alerts |
2023 |
| 70 |
Walmart |
E-commerce and retail |
Resolve entities and detect relationships |
Exploring an Entity Resolution Framework Across Various Use Cases |
2023 |
| 71 |
Thoughtworks |
Tech |
AI copilot for product strategy |
Building Boba AI |
2023 |
| 72 |
Grab |
Delivery and mobility,Banking and finance |
Automatically detect new fraud types |
Unsupervised graph anomaly detection – Catching new fraudulent behaviours |
2023 |
| 73 |
Dropbox |
Tech |
Identify date formats in file names |
Is this a date? Using ML to identify date formats in file names |
2023 |
| 74 |
Grab |
Delivery and mobility,Banking and finance |
Сreate scalable lookalike audiences |
Stepping up marketing for advertisers: Scalable lookalike audience |
2023 |
| 75 |
Wayfair |
E-commerce and retail |
Send relevant communications to customers |
Griffin: How Wayfair Leverages Reinforcement Learning to Send Customers Relevant Communications |
2023 |
| 76 |
Whatnot |
E-commerce and retail |
Detect marketplace spam |
How Whatnot Utilizes Generative AI to Enhance Trust and Safety |
2023 |
| 77 |
Instacart |
E-commerce and retail |
Predict grocery item availability |
How Instacart’s Item Availability Evolved Over the Pandemic |
2023 |
| 78 |
Instacart |
E-commerce and retail |
Predict availability of food items |
Instacart’s Item Availability Architecture: Solving for scale and consistency |
2023 |
| 79 |
BlaBlaCar |
Delivery and mobility |
Prevent phishing and payment fraud |
How we built our machine learning pipeline to fight fraud at BlaBlaCar — Part 2 |
2023 |
| 80 |
Salesforce |
Tech |
Summarize Slack conversations |
AI Summarist: Get Your Time Back on Slack, Boost Productivity & Focus, Personalize Information Consumption |
2023 |
| 81 |
Meta |
Social platforms |
Show users relevant content at scale |
Scaling the Instagram Explore recommendations system |
2023 |
| 82 |
Delivery Hero |
Delivery and mobility |
Recommend restaurants for new customers |
Personalisation @ Delivery Hero: Ranking restaurants for new users |
2023 |
| 83 |
Swiggy |
Delivery and mobility |
Predict food delivery time |
How ML Powers — When is my order coming? — Part II |
2023 |
| 84 |
Salesforce |
Tech |
Recommend apps in the marketplace |
On the Diversity and Explainability of Enterprise App Recommendation Systems |
2023 |
| 85 |
Grab |
Delivery and mobility,Banking and finance |
Optimize promotional campaigns |
Scaling marketing for merchants with targeted and intelligent promos |
2023 |
| 86 |
GitHub |
Tech |
Automated code reviews and PR tagging |
Generative AI-enabled compliance for software development |
2023 |
| 87 |
Delivery Hero |
Delivery and mobility |
Recommend restaurants |
Don’t Worry, We Got You: Personalised Model |
2023 |
| 88 |
OLX |
E-commerce and retail |
Predict order delivery time |
Machine Learning for Delivery Time Estimation |
2023 |
| 89 |
Spotify |
Media and streaming |
Target in-app messaging |
Experimenting with Machine Learning to Target In-App Messaging |
2023 |
| 90 |
Nubank |
Fintech and banking |
Automatically route customer phone calls |
Presenting Precog, Nubank’s Real Time Event AI |
2023 |
| 91 |
Instacart |
E-commerce and retail |
Build an internal AI assistant |
Scaling Productivity with Ava — Instacart’s Internal AI Assistant |
2023 |
| 92 |
Meta |
Social platforms |
Translate and transcribe across speech and text |
Bringing the world closer together with a foundational multimodal model for speech translation |
2023 |
| 93 |
Vimeo |
Media and streaming |
Customer support AI assistant |
From idea to reality: Elevating our customer support through generative AI |
2023 |
| 94 |
Ebay |
E-commerce and retail |
Recommend relevant e-commerce items |
Building a Deep Learning Based Retrieval System for Personalized Recommendations |
2022 |
| 95 |
Mercado Libre |
Delivery and mobility |
Predict product dimensions for delivery |
Predicting package dimensions based on a similarity model at Mercado Libre |
2022 |
| 96 |
Doordash |
Delivery and mobility |
Recommend substitute items |
Evolving DoorDash’s Substitution Recommendations Algorithm |
2022 |
| 97 |
Pinterest |
Social platforms |
Personalize homepage contents |
How Pinterest Leverages Realtime User Actions in Recommendation to Boost Homefeed Engagement Volume |
2022 |
| 98 |
Instacart |
Delivery and mobility |
Search food and grocery items |
How Instacart Uses Embeddings to Improve Search Relevance |
2022 |
| 99 |
Walmart |
E-commerce and retail |
Assist in e-commerce shopping |
A Unified Multi-task Model for Supporting Multiple Virtual Assistants in Walmart |
2022 |
| 100 |
Spotify |
Media and streaming |
Search for podcasts |
Introducing Natural Language Search for Podcast Episodes |
2022 |
| 101 |
Nextdoor |
Social platforms |
Predict harmful comments |
Using predictive technology to foster constructive conversations |
2022 |
| 102 |
Walmart |
E-commerce and retail |
Fill shopping cart via voice dialog |
Voice Reorder Experience: add Multiple Product Items to your shopping cart |
2022 |
| 103 |
Expedia |
Travel,E-commerce and retail |
Categorize customer feedback |
Categorising Customer Feedback Using Unsupervised Learning |
2022 |
| 104 |
Foodpanda |
Delivery and mobility |
Classify restaurants and cuisines |
Classifying restaurant cuisines with subjective labels |
2022 |
| 105 |
Ebay |
Social platforms |
Recommend products and content |
Multi-Relevance Ranking Model for Similar Item Recommendation |
2022 |
| 106 |
Gousto |
Delivery and mobility |
Predict subscription churn |
Using Data Science to Retain Customers |
2022 |
| 107 |
Google |
Tech |
Generate summaries |
Auto-generated Summaries in Google Docs |
2022 |
| 108 |
Yelp |
Social platforms |
Personalize recommendations |
Beyond Matrix Factorization: Using hybrid features for user-business recommendations |
2022 |
| 109 |
PayPal |
Fintech and banking |
Prioritize sales leads |
Sales Pipeline Management with Machine Learning: A Lightweight Two-Layer Ensemble Classifier Framework |
2022 |
| 110 |
Grubhub |
Delivery and mobility |
Forecast order volume |
Forecasting Grubhub Order Volume At Scale |
2022 |
| 111 |
Github |
Tech |
Detect vulnerabilities in code |
Leveraging machine learning to find security vulnerabilities |
2022 |
| 112 |
Uber |
Delivery and mobility |
Detect payment fraud |
Project RADAR: Intelligent Early Fraud Detection System with Humans in the Loop |
2022 |
| 113 |
Gojek |
Delivery and mobility |
Predict food delivery times |
How We Estimate Food Debarkation Time With ‘Tensoba’ |
2022 |
| 114 |
Uber |
Delivery and mobility |
Predict estimated time of arrival |
DeepETA: How Uber Predicts Arrival Times Using Deep Learning |
2022 |
| 115 |
Trivago |
Travel,E-commerce and retail |
Optimize accommodation ranking |
Explore-exploit dilemma in Ranking model |
2022 |
| 116 |
Gousto |
Delivery and mobility |
Recommend food items and recipes |
Gousto R-series Vol 2: Tackling the Cold-Start Problem in Recipe Recommendation Engine |
2022 |
| 117 |
Spotify |
Media and streaming |
Forecast user activity metrics |
How We Built Infrastructure to Run User Forecasts at Spotify |
2022 |
| 118 |
Google |
Tech |
Summarize conversations |
Conversation Summaries in Google Chat |
2022 |
| 119 |
Airbnb |
Travel,E-commerce and retail |
Improve travel search experience |
Building Airbnb Categories with ML and Human-in-the-Loop |
2022 |
| 120 |
Uber |
Delivery and mobility |
Send timely push notifications |
How Uber Optimizes the Timing of Push Notifications using ML and Linear Programming |
2022 |
| 121 |
Meta |
Social platforms |
Personalize daily digest notifications |
Improving Instagram notification management with machine learning and causal inference |
2022 |
| 122 |
Instacart |
Delivery and mobility |
Recommend relevant food items |
Personalizing Recommendations for a Learning User |
2022 |
| 123 |
Expedia |
Travel,E-commerce and retail |
Rank relevant travel deals |
How to Optimise Rankings with Cascade Bandits |
2022 |
| 124 |
Doordash |
Delivery and mobility |
Personalize recommendations on homepage |
Homepage Recommendation with Exploitation and Exploration |
2022 |
| 125 |
Linkedin |
Social platforms |
Improve post search functionality |
Improving Post Search at LinkedIn |
2022 |
| 126 |
Artefact |
Tech |
Evaluate success of past promotions |
Forecasting something that never happened: how we estimated past promotions profitability |
2022 |
| 127 |
Doordash |
Delivery and mobility |
Find high-value merchants |
Building the Model Behind DoorDash’s Expansive Merchant Selection |
2022 |
| 128 |
Grammarly |
Tech |
Suggest text edits |
Under the Hood of the Grammarly Editor, Part Two: How Suggestions Work |
2022 |
| 129 |
Amazon |
Media and streaming |
Suggest music to listen to |
The Amazon Music conversational recommender is hitting the right notes |
2022 |
| 130 |
Snap |
Social platforms |
Rank relevant ads |
Machine Learning for Snapchat Ad Ranking |
2022 |
| 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 |
2022 |
| 132 |
Zillow |
E-commerce and retail |
Select tags for product listings |
Helping Home Shoppers Find a Home to Love Through Home Insights |
2022 |
| 133 |
Netflix |
Media and streaming |
Detect account or content fraud |
Machine Learning for Fraud Detection in Streaming Services |
2022 |
| 134 |
Airbnb |
Travel,E-commerce and retail |
Improve customer support |
How AI Text Generation Models Are Reshaping Customer Support at Airbnb |
2022 |
| 135 |
Linkedin |
Social platforms |
Predict churn and upsell products |
The journey to build an explainable AI-driven recommendation system |
2022 |
| 136 |
Autotrader |
E-commerce and retail |
Personalize automotive search results |
Real-Time Personalisation of Search Results with Auto Trader’s Customer Data Platform |
2022 |
| 137 |
Peloton |
Tech |
Recommend fitness training videos |
How We Built: An Early-Stage Machine Learning Model for Recommendations |
2022 |
| 138 |
Walmart |
E-commerce and retail |
Categorize e-commerce products |
Semantic Label Representation with an Application on Multimodal Product Categorization |
2022 |
| 139 |
Doordash |
Delivery and mobility |
Search food and grocery items |
3 Changes to Expand DoorDash’s Product Search Beyond Delivery |
2022 |
| 140 |
Faire |
E-commerce and retail |
Rank e-commerce items (feature store) |
Real-time ranking at Faire part 2: the feature store |
2022 |
| 141 |
New York Times |
Media and streaming |
Personalize paywall limits |
How The New York Times Uses Machine Learning To Make Its Paywall Smarter |
2022 |
| 142 |
Linkedin |
Social platforms |
Predict ad click-through rate |
Challenges and practical lessons from building a deep-learning-based ads CTR prediction model |
2022 |
| 143 |
Zillow |
E-commerce and retail |
Identify customers that are likely to convert |
Identifying High-Intent Buyers |
2022 |
| 144 |
Netflix |
Media and streaming |
Recommend content to view |
Reinforcement Learning for Budget Constrained Recommendations |
2022 |
| 145 |
Walmart |
E-commerce and retail |
Forecast anomalies in refrigeration |
Forecast Anomalies in Refrigeration with PySpark & Sensor-data |
2022 |
| 146 |
Stitch Fix |
E-commerce and retail |
Recommend e-commerce items |
Client Time Series Model: a Multi-Target Recommender System based on Temporally-Masked Encoders |
2022 |
| 147 |
Gojek |
Delivery and mobility |
Predict estimated time of delivery |
How We Estimate Food Debarkation Time With ‘Tensoba’ |
2022 |
| 148 |
Zillow |
E-commerce and retail |
Extract text features |
Incorporating Listing Descriptions into the Zestimate |
2022 |
| 149 |
Etsy |
E-commerce and retail |
Rank marketplace search results |
Deep Learning for Search Ranking at Etsy |
2022 |
| 150 |
Walmart |
E-commerce and retail |
Curate e-commerce product recommendations |
Scaling Product Recommendations using Basket Analysis- Part 1 |
2022 |
| 151 |
Lyft |
Delivery and mobility |
Optimize trip price |
Pricing at Lyft |
2022 |
| 152 |
Grammarly |
Tech |
Correct grammatical errors |
Innovating the Basics: Achieving Superior Precision and Recall in Grammatical Error Correction |
2022 |
| 153 |
Twitter |
Social platforms |
Recommend accounts to follow |
Model-based candidate generation for account recommendations |
2022 |
| 154 |
Airbnb |
Travel,E-commerce and retail |
Improve customer travel experience |
Intelligent Automation Platform: Empowering Conversational AI and Beyond at Airbnb |
2022 |
| 155 |
Swiggy |
Delivery and mobility |
Flag incorrectly captured locations |
Using deep learning to detect dissonance between address text and location |
2022 |
| 156 |
Uber |
Delivery and mobility |
Verify documents |
Uber’s Real-Time Document Check |
2022 |
| 157 |
Wayfair |
E-commerce and retail |
Optimize email sending time and frequency |
Nightingale: Scalable Daily Sales Email Sending Decision Model |
2022 |
| 158 |
Didact AI |
Fintech and banking |
Predict stock prices |
Didact AI: The anatomy of an ML-powered stock picking engine |
2022 |
| 159 |
Wayfair |
E-commerce and retail |
Identify specific entities within a text |
Wayfair’s New Approach to Aspect Based Sentiment Analysis Helps Customers Easily Find “Long Tail” Products |
2022 |
| 160 |
Oda |
Delivery and mobility |
Predict driver’s non-driving time |
How we went from zero insight to predicting service time with a machine learning model — Part 2/2 |
2022 |
| 161 |
Wayfair |
E-commerce and retail |
Predict intent in customer support messages |
Building Wayfair’s First Virtual Assistant: Automating Customer Service by Text Based Intent Prediction |
2022 |
| 162 |
Linkedin |
Social platforms |
Estimate the impact of product changes |
Ocelot: Scaling observational causal inference at LinkedIn |
2022 |
| 163 |
Grab |
Delivery and mobility,Banking and finance |
Detect fraud with graph models |
Graph for fraud detection |
2022 |
| 164 |
Lyft |
Delivery and mobility |
Make causally valid forecasts |
Causal Forecasting at Lyft (Part 1) |
2022 |
| 165 |
Glassdoor |
Social platforms |
Recommend interesting posts to users |
Personalized Fishbowl Recommendations with Learned Embeddings: Part 2 |
2022 |
| 166 |
Netflix |
Media and streaming |
Improve video quality at scale |
For your eyes only: improving Netflix video quality with neural networks |
2022 |
| 167 |
Glassdoor |
Social platforms |
Recommend interesting posts to users |
Personalized Fishbowl Recommendations with Learned Embeddings: Part 1 |
2022 |
| 168 |
Dailymotion |
Media and streaming |
Recommend diversified video content |
Optimizing video feed recommendations with diversity: Machine Learning first steps |
2022 |
| 169 |
Siemens Healthineers |
Tech |
Optimize software testing |
Using Machine Learning for Fast Test Feedback to Developers and Test Suite Optimization |
2022 |
| 170 |
Lyft |
Delivery and mobility |
Make causally valid forecasts |
Causal Forecasting at Lyft (Part 2) |
2022 |
| 171 |
Linkedin |
Social platforms |
Deliver more relevant job recommendations |
Improving job matching with machine-learned activity features |
2022 |
| 172 |
Cookidoo |
E-commerce and retail |
Personalize recipe recommendations |
Building A Recipe Recommender System For the Thermomix on Cookidoo – Part 1 |
2022 |
| 173 |
Linkedin |
Social platforms |
Improve ML model performance with multitask learning |
Applying multitask learning to AI models at LinkedIn |
2022 |
| 174 |
Netflix |
Media and streaming |
Apply causality in experiments and marketing |
A Survey of Causal Inference Applications at Netflix |
2022 |
| 175 |
Pinterest |
Social platforms |
Recommend bids for advertizers |
Advertiser Recommendation Systems at Pinterest |
2021 |
| 176 |
Grubhub |
Delivery and mobility |
Forecast volume order |
“I See Tacos In Your Future”: Order Volume Forecasting at Grubhub |
2021 |
| 177 |
Slack |
Tech |
Detect spam invites |
Blocking Slack Invite Spam With Machine Learning |
2021 |
| 178 |
Faire |
E-commerce and retail |
Search and navigate marketplace items |
Building Faire’s new marketplace ranking infrastructure |
2021 |
| 179 |
Doordash |
E-commerce and retail |
Predict delivery supply and demand |
Managing Supply and Demand Balance Through Machine Learning |
2021 |
| 180 |
OLX |
E-commerce and retail |
Recommend e-commerce items |
Item2Vec: Neural Item Embeddings to enhance recommendations |
2021 |
| 181 |
Dropbox |
Tech |
Search by image content |
How image search works at Dropbox |
2021 |
| 182 |
Scribd |
Media and streaming |
Extract metadata from documents |
Information Extraction at Scribd |
2021 |
| 183 |
Microsoft |
Tech |
Rank customer support cases |
ML and customer support (Part 1): Using Machine Learning to enable world-class customer support |
2021 |
| 184 |
Stitch Fix |
E-commerce and retail |
Recommend e-commerce inventory |
Algorithm-Assisted Inventory Curation |
2021 |
| 185 |
Twitter |
Social platforms |
Forecast resource usage and cost |
Forecasting SQL query resource usage with machine learning |
2021 |
| 186 |
Google |
Tech |
Suggest past photos to look at |
A snapshot of AI-powered reminiscing in Google Photos |
2021 |
| 187 |
Uber |
Delivery and mobility |
Identify cash intermediaries |
Applying Machine Learning in Internal Audit with Sparsely Labeled Data |
2021 |
| 188 |
Microsoft |
Tech |
Cluster customer support issues by similarity |
ML and customer support (Part 2): Leveraging topic modeling to identify the top investment areas in support cases |
2021 |
| 189 |
Gousto |
Delivery and mobility |
Recommend food items and recipes |
Gousto R-series vol 1: Three tales of the Rouxcommender family |
2021 |
| 190 |
Apple |
Tech |
Recognize people in photos |
Recognizing People in Photos Through Private On-Device Machine Learning |
2021 |
| 191 |
Pinterest |
Social platforms |
Find lookalike users for ad targeting |
The machine learning behind delivering relevant ads |
2021 |
| 192 |
Pinterest |
Social platforms |
Detect spam users |
Fighting Spam using Clustering and Automated Rule Creation |
2021 |
| 193 |
PayPal |
Fintech and banking |
Detect payment fraud |
Deploying Large-scale Fraud Detection Machine Learning Models at PayPal |
2021 |
| 194 |
Datto |
Tech |
Predict hard drive failures |
Predicting Hard Drive Failure with Machine Learning |
2021 |
| 195 |
Bumble |
Social platforms |
Detect rude messages |
Multilingual message content moderation at scale (part 2) |
2021 |
| 196 |
Nextdoor |
Social platforms |
Send relevant and timely updates |
Nextdoor Notifications: How we use ML to keep neighbors informed |
2021 |
| 197 |
Dropbox |
Tech |
Identify best time for renewal charge |
Optimizing payments with machine learning |
2021 |
| 198 |
Swiggy |
Delivery and mobility |
Rank restaurants in search |
Learning To Rank Restaurants |
2021 |
| 199 |
Brex |
Fintech and banking |
Classify bank transactions |
How We Built a (Mostly) Automated System to Solve Credit Card Merchant Classification |
2021 |
| 200 |
Grammarly |
Tech |
Capture what readers pay attention to |
ATTN: How Grammarly’s NLP/ML Team Figured Out Where Readers Focus in an Email |
2021 |
| 201 |
Doordash |
Delivery and mobility |
Extract information from images |
How DoorDash Quickly Spins Up Multiple Image Recognition Use Cases |
2021 |
| 202 |
Apple |
Tech |
Identify best user experience |
Interpretable Adaptive Optimization |
2021 |
| 203 |
Airbnb |
Travel,E-commerce and retail |
Data privacy and security |
Automating Data Protection at Scale, Part 2 |
2021 |
| 204 |
Capital One |
Fintech and banking |
Identify suspicious account activity |
How Machine Learning Can Help Fight Money Laundering |
2021 |
| 205 |
Wayfair |
E-commerce and retail |
Assign color names to products |
From RGB to Descriptive Color Names: Wayfair’s in-house color algorithms to improve customer shopping experience. |
2021 |
| 206 |
Capital One |
Fintech and banking |
Automate incident management |
Automated detection, diagnosis & remediation of app failure |
2021 |
| 207 |
Pinterest |
Social platforms |
Detect policy-violating comments |
How Pinterest powers a healthy comment ecosystem with machine learning |
2021 |
| 208 |
Spotify |
Media and streaming |
Personalize homepage content (podcasts, playlist, music) |
The Rise (and Lessons Learned) of ML Models to Personalize Content on Home (Part I) |
2021 |
| 209 |
Stitch Fix |
E-commerce and retail |
Recommend looks |
Stitching together spaces for query-based recommendations |
2021 |
| 210 |
Ocado |
E-commerce and retail |
Forecast e-commerce grocery demand |
Finding the sweet spot |
2021 |
| 211 |
Walmart |
E-commerce and retail |
Categorize e-commerce products |
Deep Learning: Product Categorization and Shelving |
2021 |
| 212 |
Walmart |
E-commerce and retail |
Recommend learning content |
Mozrt, a Deep Learning Recommendation System Empowering Walmart Store Associates with a Personalized Learning Experience |
2021 |
| 213 |
Walmart |
E-commerce and retail |
Identify refrigeration defrost |
Predicting Defrost in Refrigeration Cases at Walmart using Fourier Transform |
2021 |
| 214 |
New York Times |
Media and streaming |
Recommend content to read |
Machine Learning and Reader Input Help Us Recommend Articles |
2021 |
| 215 |
Mercado Libre |
E-commerce and retail |
Forecast demand for e-commerce items |
Marketplace Forecasting: Sales or Demand? Why not both? Let’s find out! |
2021 |
| 216 |
Swiggy |
Delivery and mobility |
Rank food dishes in search |
Using Deep Learning for Ranking in Dish Search |
2021 |
| 217 |
PayPal |
Fintech and banking |
Recommend financial products |
Cross-Selling Optimization Using Deep Learning |
2021 |
| 218 |
Wayfair |
E-commerce and retail |
Automate ads placement and bidding |
Evolution of Ads Bidding at Wayfair |
2021 |
| 219 |
Capital One |
Fintech and banking |
Improve cardholder experience |
Improving Virtual Card Numbers with Edge Machine Learning |
2021 |
| 220 |
Shopify |
E-commerce and retail |
Categorize e-commerce products |
Using Rich Image and Text Data to Categorize Products at Scale |
2021 |
| 221 |
Scribd |
Media and streaming |
Recommend content to read |
Embedding-based Retrieval at Scribd |
2021 |
| 222 |
Swiggy |
Delivery and mobility |
Detect fraud in online food delivery |
DeFraudNet: An End-to-End Weak Supervision Framework to Detect Fraud in Online Food Delivery |
2021 |
| 223 |
Amazon |
E-commerce and retail |
Predict coordinates of delivery location |
Using learning-to-rank to precisely locate where to deliver packages |
2021 |
| 224 |
PayPal |
Fintech and banking |
Predict declined transactions |
Using Machine Learning to Improve Payment Authorization Rate |
2021 |
| 225 |
Stripe |
Fintech and banking |
Detect fraud in online payments |
A primer on machine learning for fraud detection |
2021 |
| 226 |
Slack |
Tech |
Predict Slack connect invites |
Email Classification |
2021 |
| 227 |
Wayfair |
E-commerce and retail |
Recommend furniture items |
MARS: Transformer Networks for Sequential Recommendation |
2021 |
| 228 |
Grammarly |
Tech |
Detect grammatical errors |
Grammatical Error Correction: Tag, Not Rewrite |
2021 |
| 229 |
Nordstrom |
E-commerce and retail |
Generate outfit combinations |
AI-Created Outfits |
2021 |
| 230 |
Doordash |
Delivery and mobility |
Deliver orders on time |
Using ML and Optimization to Solve DoorDash’s Dispatch Problem |
2021 |
| 231 |
Zillow |
E-commerce and retail |
Recommend similar homes |
Improving Recommendation Quality by Tapping into Listing Text |
2021 |
| 232 |
Lifen |
Tech |
Recognize PDF layout |
Fast graph-based layout detection |
2021 |
| 233 |
PayPal |
Fintech and banking |
Prevent repeated payment fraud |
How PayPal Uses Real-time Graph Database and Graph Analysis to Fight Fraud |
2021 |
| 234 |
Bumble |
Social platforms |
Detect rude messages |
Multilingual message content moderation at scale (part 1) |
2021 |
| 235 |
Spotify |
Media and streaming |
Personalize homepage content (podcasts, playlist, music) |
The Rise (and Lessons Learned) of ML Models to Personalize Content on Home (Part II) |
2021 |
| 236 |
Swiggy |
Delivery and mobility |
Estimate travel distance |
Learning to Predict Two-Wheeler Travel Distance |
2021 |
| 237 |
Expedia |
Travel,E-commerce and retail |
Personalize travel search results |
Personalized Ranking Model for Lodging |
2021 |
| 238 |
Scribd |
Media and streaming |
Classify documents |
Categorizing user-uploaded documents |
2021 |
| 239 |
Meta |
Social platforms |
Personalize the newsfeed content |
How machine learning powers Facebook’s News Feed ranking |
2021 |
| 240 |
Google |
Tech |
Correct grammatical errors |
Grammar Correction as You Type, on Pixel 6 |
2021 |
| 241 |
Nubank |
Fintech and banking |
Predict conversions and attract new customers |
Beyond prediction machines |
2021 |
| 242 |
Grammarly |
Tech |
Correct grammatical errors |
Adversarial Grammatical Error Correction |
2021 |
| 243 |
Scribd |
Media and streaming |
Classify user-uploaded documents |
Identifying Document Types at Scribd |
2021 |
| 244 |
Oda |
Delivery and mobility |
Predict driver’s non-driving time |
How we went from zero insight to predicting service time with a machine learning model — Part 1 |
2021 |
| 245 |
Mercado Libre |
E-commerce and retail |
Predict customer engagement and LTV |
Causal Inference — Estimating Long-term Engagement |
2021 |
| 246 |
Dailymotion |
Media and streaming |
Target contextual advertising |
How Deep Learning can boost Contextual Advertising Capabilities |
2021 |
| 247 |
Wayfair |
E-commerce and retail |
Optimize digital ads |
Building Scalable and Performant Marketing ML Systems at Wayfair |
2021 |
| 248 |
Wayfair |
E-commerce and retail |
Show relevant content to new customers |
Share of Voice Optimization Engine |
2021 |
| 249 |
Wayfair |
E-commerce and retail |
Optimize paid media marketing |
Contextual Bandit for Marketing Treatment Optimization |
2021 |
| 250 |
Microsoft |
Tech |
Classify cloud workload types |
How we used ML — and heuristic data labeling — to help customers with their cloud migration |
2021 |
| 251 |
Github |
Tech |
Help users find contribution opportunities |
How we built the good first issues feature |
2020 |
| 252 |
Linkedin |
Social platforms |
Serve personalized learning recommendations |
A closer look at the AI behind course recommendations on LinkedIn Learning, Part 1 |
2020 |
| 253 |
Bumble |
Social platforms |
Derive information from images |
Image detection as a service |
2020 |
| 254 |
Gojek |
Delivery and mobility |
Generate names for pickup points |
How Gojek Uses NLP to Name Pickup Locations at Scale |
2020 |
| 255 |
Mozilla |
Tech |
Predict the outcome of software tests |
Testing Firefox more efficiently with machine learning |
2020 |
| 256 |
Adyen |
Fintech and banking |
Predict probability of transaction success |
Optimizing payment conversion rates with contextual multi-armed bandits |
2020 |
| 257 |
Wayfair |
E-commerce and retail |
Detect payment fraud |
Explainable Fraud Detection |
2020 |
| 258 |
Lyft |
Delivery and mobility |
Provide location suggestions |
How Lyft predicts a rider’s destination for better in-app experience |
2020 |
| 259 |
Zillow |
E-commerce and retail |
Generate floor plans from photos |
Zillow Floor Plan: Training Models to Detect Windows, Doors and Openings in Panoramas |
2020 |
| 260 |
Linkedin |
Social platforms |
Serve personalized learning recommendations |
A closer look at the AI behind course recommendations on LinkedIn Learning, Part 2 |
2020 |
| 261 |
Doordash |
Delivery and mobility |
Optimize marketing spending |
Optimizing DoorDash’s Marketing Spend with Machine Learning |
2020 |
| 262 |
Etsy |
E-commerce and retail |
Personalize e-commerce search |
Bringing Personalized Search to Etsy |
2020 |
| 263 |
Airbnb |
Travel,E-commerce and retail |
Rank travel search results |
Improving Deep Learning for Ranking Stays at Airbnb |
2020 |
| 264 |
Wayfair |
E-commerce and retail |
Improve search experience for new customers |
Bayesian Product Ranking at Wayfair |
2020 |
| 265 |
Twitter |
Social platforms |
Predict value of ad requests |
Using machine learning to predict the value of ad requests |
2020 |
| 266 |
Zynga |
Gaming |
Personalize push notification timing |
Deep Reinforcement Learning in Production Part 2: Personalizing User Notifications |
2020 |
| 267 |
Zillow |
E-commerce and retail |
Rank homes to buy |
Guided Search — Personalized Search Refinements to Help Customers Find their Dream Home |
2020 |
| 268 |
Picnic |
Delivery and mobility |
Predict delivery drop times |
Optimal drop times using machine learning |
2020 |
| 269 |
Shopify |
E-commerce and retail |
Categorize e-commerce products |
Categorizing Products at Scale |
2020 |
| 270 |
Gojek |
Delivery and mobility |
Target cross-sell to existing users |
How We Built a Matchmaking Algorithm to Cross-Sell Products |
2020 |
| 271 |
PayPal |
Fintech and banking |
Detect payment fraud |
Multi-Domain Fraud Detection While Reducing Good User Declines |
2020 |
| 272 |
OLX |
E-commerce and retail |
Detect stolen photos |
Fighting fraud with Triplet Loss |
2020 |
| 273 |
Stripe |
Fintech and banking |
Detect fraud in online payments |
Similarity clustering to catch fraud rings |
2020 |
| 274 |
Doordash |
Delivery and mobility |
Search for restaurants and dishes |
Things Not Strings: Understanding Search Intent with Better Recall |
2020 |
| 275 |
Spotify |
Media and streaming |
Recommend shortcuts for homepage |
Reach for the Top: How Spotify Built Shortcuts in Just Six Months |
2020 |
| 276 |
Wayfair |
E-commerce and retail |
Recommend complementary products |
The Visual Complements Model (ViCs): Complementary Product Recommendations From Visual Cues |
2020 |
| 277 |
Dailymotion |
Media and streaming |
Automatically categorize videos |
How we used Cross-Lingual Transfer Learning to categorize our content |
2020 |
| 278 |
Duolingo |
Tech |
Teaching foreign languages |
How Duolingo uses AI in every part of its app |
2020 |
| 279 |
Firefox |
Tech |
Automatically assign new untriaged bugs |
Teaching machines to triage Firefox bugs |
2019 |
| 280 |
Dropbox |
Tech |
Predict files users search for |
Using machine learning to predict what file you need next |
2019 |
| 281 |
Zoominfo |
Tech |
Predict data accuracy |
Using Machine Learning to Determine Contact Accuracy Scores |
2019 |
| 282 |
Airbnb |
Travel,E-commerce and retail |
Recommend marketplace items |
Machine Learning-Powered Search Ranking of Airbnb Experiences |
2019 |
| 283 |
Lyft |
Delivery and mobility |
Predict location of traffic control elements |
Detecting Stop Signs and Traffic Signals: Deep Learning at Lyft Mapping |
2019 |
| 284 |
Gojek |
Delivery and mobility |
Personalize search results |
The Secret Sauce Behind Search Personalisation |
2019 |
| 285 |
Instacart |
Delivery and mobility |
Spot lost demand |
Modeling the unseen |
2019 |
| 286 |
Apple |
Tech |
Identify text language |
Language Identification from Very Short Strings |
2019 |
| 287 |
Stitch Fix |
E-commerce and retail |
Extract information from customer notes |
Give Me Jeans not Shoes: How BERT Helps Us Deliver What Clients Want |
2019 |
| 288 |
Lyft |
Delivery and mobility |
Detect errors in maps |
How Lyft Creates Hyper-Accurate Maps from Open-Source Maps and Real-Time Data |
2019 |
| 289 |
King |
Gaming |
Automate playtesting pipeline |
Human-Like Playtesting with Deep Learning |
2019 |
| 290 |
Gojek |
Delivery and mobility |
Analyse the relevance of search results |
Is This What You Were Looking For? |
2019 |
| 291 |
Lyft |
Delivery and mobility |
Build a marketing automation platform |
Building Lyft’s Marketing Automation Platform |
2019 |
| 292 |
Wayfair |
E-commerce and retail |
Model uplift |
Modeling Uplift Directly: Uplift Decision Tree with KL Divergence and Euclidean Distance as Splitting Criteria |
2019 |
| 293 |
Gojek |
Delivery and mobility |
Accurately forecast demand |
Under the Hood of Gojek’s Automated Forecasting Tool |
2019 |
| 294 |
Lyft |
Delivery and mobility |
Predict rides and driver hours |
Making cohort-based long-term forecasts at Lyft |
2019 |
| 295 |
Lyft |
Delivery and mobility |
Predict fraudulent activity |
Fingerprinting fraudulent behavior |
2018 |
| 296 |
Netflix |
Media and streaming |
Improve streaming quality |
Using Machine Learning to Improve Streaming Quality at Netflix |
2018 |
| 297 |
Lyft |
Delivery and mobility |
Identify user fraud |
From shallow to deep learning in fraud |
2018 |
| 298 |
Instacart |
E-commerce and retail |
Predict grocery item availability |
Predicting the real-time availability of 200 million grocery items |
2018 |
| 299 |
Lyft |
Delivery and mobility |
Personalize marketing offers |
Empowering personalized marketing with machine learning |
2018 |
| 300 |
Instacart |
E-commerce and retail |
Optimize food delivery logistics |
Space, Time and Groceries |
2017 |
| 301 |
Airbnb |
Travel,E-commerce and retail |
Predict Value of Homes |
Using Machine Learning to Predict Value of Homes On Airbnb |
2017 |
| 302 |
Netflix |
Media and streaming |
Improve Streamning Quality |
Using Machine Learning to Improve Streaming Quality at Netflix |
2018 |
| 303 |
Booking.com |
Travel,E-commerce and retail |
150 Successful Machine Learning Models |
150 Successful Machine Learning Models: 6 Lessons Learned at Booking.com |
2019 |
| 304 |
Chicisimo |
Fashion and retail |
Grow User base using vertical ML approch |
How we grew from 0 to 4 million women on our fashion app, with a vertical machine learning approach |
2019 |
| 305 |
Airbnb |
Travel,E-commerce and retail |
ML Powered search ranking |
Machine Learning-Powered Search Ranking of Airbnb Experiences |
2019 |
| 306 |
Lyft |
Delivery and mobility |
Shallow to deep learning in fraud |
From shallow to deep learning in fraud |
2018 |
| 307 |
Uber |
Delivery and mobility |
100+ Petabytes with Minute Latency |
Uber’s Big Data Platform: 100+ Petabytes with Minute Latency |
2018 |
| 308 |
Dropbox |
Tech |
Modern OCR with CV and DL |
Creating a Modern OCR Pipeline Using Computer Vision and Deep Learning |
2017 |
| 309 |
Uber |
Tech |
Scaling ML with Michelangelo |
Scaling Machine Learning at Uber with Michelangelo |
2019 |