Personalization without user identity
How Airbnb uses proximity signals to personalize without relying on individual user history.
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Airbnb Engineering & Data Science
The guest journey, updated in real time: extending Airbnb’s sequence...
How two new Chronon capabilities, Push Mode and NRT Model Transform, allows us to provide more...
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Recent Articles
Beyond the model: Engineering AI infra with scientific judgement
How Airbnb’s agent harness transforms unstructured data exploration by encoding scientific methodology into scalable, reproducible, and...
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How we knew COVID was over (and what our models...
When we retrain, when we rebuild, and when we leave a model alone.
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Flexible Authentication: Reimagining authentication for millions of users at Airbnb
Rebuilding login and signup surfaced product insights, not just technical challenges. Here’s how we designed Flexible...
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Eval-driven development: Lessons from evaluating GenAI at scale
How Airbnb teams build trustworthy Generative AI products by treating evaluation as a first-class engineering discipline;...
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Personalizing Airbnb search by learning from the guest journey
How we built a Transformer-based sequence model that encodes years of guest behavior to surface the...
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From weeks to a day: how we made LLM evaluation...
Training an LLM is the easy part. The hard part is designing experiments and evaluations that...
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