CoFeed

Expedia

Identifying Top-Scoring Arms in Ranking Bandits With Linear Payoffs in Real-Time

Wix

AI for Revolutionizing Customer Care Routing System at Wix

Airbnb

Sandcastle: data/AI apps for everyone

GitHub

Streamlining your MLOps pipeline with GitHub Actions and Arm64 runners

Explore how Arm’s optimized performance and cost-efficient architecture, coupled with PyTorch, can enhance machine learning operations, from...

Airbnb

Riverbed Data Hydration — Part 1

Spotify

Are You a Dalia? How We Created Data Science Personas for Spotify’s Analytics Platform

On Spotify’s Analytics Platform, we’re dedicated to building products that empower data practitioners to discover, analyze, and share insigh...

Spotify

Unlocking Insights with High-Quality Dashboards at Scale

We have a lot of dashboards at Spotify.

Netflix

Improve Your Next Experiment by Learning Better Proxy Metrics From Past Experiments

Expedia

Quantifying Stress for Customer Service Agents at Expedia Group

Expedia

Learning To Rank at Expedia Group: How to adapt the Property Search Result Page based on …

Expedia

Enhancing Expedia Group’s Intraday Marketing Decisions

Lyft

FAQ: Common Questions from Candidates During Lyft Data Science Interviews

Netflix

A Recap of the Data Engineering Open Forum at Netflix

Netflix

Round 2: A Survey of Causal Inference Applications at Netflix

Spotify

Data Platform Explained Part II 

Check out Data Platform Explained Part I, where we started sharing the journey of building a data platform, its building [.

Expedia

Choosing the Right Candidates for Lodging Ranking

Spotify

Fixed-Power Designs: It’s Not IF You Peek, It’s WHAT You Peek at

TL;DR Sometimes we cannot estimate the required sample size needed to power an experiment before starting it.

Expedia

Measuring Marketing Success: The Power of Incrementality and Geo Testing

Airbnb

Airbnb Brandometer: Powering Brand Perception Measurement on Social Media Data with AI

Lyft

Technical Learning at Lyft: Build a Strong Data Science Team

Spotify

Data Platform Explained

As engineers working at Spotify, we frequently find ourselves explaining our robust data platform to fellow professionals who are contemplat...

Expedia

Head in the Clouds

Netflix

Supporting Diverse ML Systems at Netflix

Spotify

Risk-Aware Product Decisions in A/B Tests with Multiple Metrics

TL;DR We summarize the findings in our recent paper, Schultzberg, Ankargren, and Frånberg (2024), where we explain how Spotify’s decision-ma...

Netflix

Sequential A/B Testing Keeps the World Streaming Netflix Part 1: Continuous Data

Expedia

Learning Embeddings for Lodging Travel Concepts

Airbnb

Airbnb at KDD 2023

Netflix

Our First Netflix Data Engineering Summit

Expedia

Candidate Generation Using a Two Tower Approach With Expedia Group Traveler Data

Spotify

Recursive Embedding and Clustering

Large sets of diverse data present several challenges for clustering, but through a novel approach that combines dimensionality reduction, r...

Airbnb

Data Quality Score: The next chapter of data quality at Airbnb

Expedia

Explore near Real-time Streaming Data Using a Web UI

Netflix

Building In-Video Search

Spotify

Introducing Voyager: Spotify’s New Nearest-Neighbor Search Library

For the past decade, Spotify has used approximate nearest-neighbor search technology to power our personalization, recommendation, and searc...

Spotify

Exclude from Your Taste Profile

What is “Exclude from your taste profile”? Are you a parent forced to put the Bluey theme song on repeat? Do you work from home and play lof...

Expedia

Speeding Up Inference Pipelines with Model Libraries at Expedia Group

Expedia

Increasing Travelers’ Engagement Through Relevant Price Alerts at Expedia Group

LinkedIn

How LinkedIn Is Using Embeddings to Up Its Match Game for Job Seekers

Co-Authors: Jacob Mannix and Shaobo Zhang Think of how many times a day you use some type of search functionality across your devices and ap...

Lyft

From Big Data to Better Data: Ensuring Data Quality with Verity

Expedia

Using Synthetic Search Data for Flights Price Forecasting

Spotify

How to Accurately Test Significance with Difference in Difference Models

When we want to determine the causal effect of a product or business change at Spotify, A/B testing is the gold standard.

Expedia

The Juggler Model: Balancing Expectations in Lodging Rankings

Expedia

Expedia Group’s Customer Lifetime Value Prediction Model

Expedia

Herding the Elephants

Spotify

Encouragement Designs and Instrumental Variables for A/B Testing

At Spotify, we run a lot of A/B tests.

Spotify

Experimentation at Spotify: Three Lessons for Maximizing Impact in Innovation

As companies mature, it’s easy to believe that the core experience and most user needs have been resolved, and all that’s left to work towar...

Spotify

Coming Soon: Confidence — An Experimentation Platform from Spotify

TL;DR: Spotify is releasing a new commercial product for software development teams: a version of our homegrown experimentation platform tha...

Spotify

Bringing Sequential Testing to Experiments with Longitudinal Data (Part 2): Sequential Testing

In Part 1 of this series, we introduced the within-unit peeking problem that we call the “peeking problem 2.

Spotify

Bringing Sequential Testing to Experiments with Longitudinal Data (Part 1): The Peeking Problem 2.0

Spotify’s approach to challenges in sequential testing with longitudinal data  At Spotify, we’re constantly improving our data infrastructur...

Expedia

Unlocking the Value of AI and Generative AI in Travel

Expedia

Demystifying Technical Program Management in Data Science at Expedia Group

Lyft

Building Real-time Machine Learning Foundations at Lyft

Spotify

Experimenting with Machine Learning to Target In-App Messaging

Messaging at Spotify At Spotify, we use messaging to communicate with our listeners all over the world.

Spotify

Experimenting at Scale, the Spotify Home Way

Introduction In the fast-paced world of streaming, personalization plays a vital role in enhancing user experiences.

Wix

AI @ Wix: A Cross Review of Data Science, Engineering and Generative AI at Wix

Expedia

Generating Diverse Travel Recommendations

Square

Ecosystem Success Metrics

Expedia

Marketing Attribution

Square

Building Stronger Partnerships as a Data Scientist

Lyft

The Recommendation System at Lyft

Airbnb

Building Airbnb Categories with ML & Human in the Loop

Lyft

lyft2vec — Embeddings at Lyft

Canva

Understanding a Diverse User Base with Frequency Segmentation at Scale

How we developed a bespoke frequency-recency segmentation to understand our users' diverse usage patterns.

Lyft

Quantifying Efficiency in Ridesharing Marketplaces

Square

Why You Need an Experimentation Template

Lyft

Humans of Lyft Science: Early Days of Lyft

Netflix

Discovering Creative Insights in Promotional Artwork

Spotify

What’s a “Listening Personality”?

We did a couple of new things in Wrapped this year, and one of these is a thing called Your Listening Personality.

Square

Success Metrics for Product Analytics

Square

Secure Apache Airflow Using Customer Security Manager

Square

An Overview of Machine Learning Operations

Square

Dessa: Open sourcing Atlas

Square

The Value in Early Product Analytics

Square

Identifying and Scaling a Language Market

Square

PySurvival Tutorial: Churn Modeling

Square

Introducing PySurvival

PySurvival is an open source python package for Survival Analysis modeling.

Square

K-Means for Building Better Product Experiences

Square

Combining Behavior and E-mail Content to Improve Customer Support

Square

Inferring Label Hierarchies with hLDA

Square

Comparing Two Forward Feature Selection Algorithms

Speed vs.

Square

Caviar’s Food Recommendation Platform

Square

Making AI Interpretable with Generative Adversarial Networks

Square

Product Analytics at Square

Square

Deep Learning + Survival Analysis: Our Approach to Multi-Task Frameworks

Square

Caviar’s Word2Vec Tagging For Menu Item Recommendations

Square

Accessible Colors for Data Visualization

Part 1: Open-source style guide.

Square

Topic Modeling

Square

So You Have Some Clusters, Now What?

Square

Product planning for machine learning

What you should know in order to plan machine-learning-based solutions.

Square

Using neural networks to predict customers’ needs

Deep learning for browsing and path analysis.

Square

Using Word2Vec to Power a Recommendation Engine

Square

Improving Conversion Rates with Analytics, Design Principles, and UX

Square

A Peek into Machine Learning at Square

Square

Pricing Subscription Products with a Data-Driven Conscience