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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Airbnb Engineering & Data Science
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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Problems We're Solving
Recent Articles
Scaling beyond one: How Airbnb evolved its data architecture for...
How Airbnb’s data engineers and analytics engineers built a consistent and flexible data modeling framework to...
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Sitar-agent: Building a reliable dynamic configuration sidecar at scale
How Airbnb built a Kubernetes sidecar to deliver dynamic configuration reliably at scale.
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When history fails you, borrow from geography
How Airbnb used sequential geographic recovery signals and prior propagation to generate reliable corridor-level forecasts when...
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Scaling Airbnb’s identity graph with a unified knowledge graph infrastructure
How Airbnb shifts from PaaS to an internal knowledge graph infrastructure at scale.
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Viaduct 1.0 and the future of Airbnb’s data mesh
Moving from an internal tool to a community-driven, production-ready data mesh.
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Monitoring reliably at scale
Designing monitoring that works when everything else doesn’t.
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