Data Science
summary
Claim: graph learning is the lever behind better personalization and product decisions, not just a buzzword. Evidence: platform behavior shifts to stays about 50 kilometers away and more flexible dates drive new feature requirements. Tools and prototypes: graph neural networks applied to guest–listing–experience graphs, integrated with analytics and ML pipelines to recommend nearby stays and remote‑work-friendly homes. Results discussed emphasize prototypes and product changes more than abstract case studies.
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chapters (10)
- 0:00Intro
- 0:23Data Science in Airbnb
- 0:37Customer facing issues
- 1:05What is Airbnb
- 1:22What does Airbnb do
- 2:18Whats different for Airbnb now
- 3:06Airbnb vs Hotels
- 3:48Data Science at Airbnb
- 4:30Clairs presentation
- 5:05Conclusion
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