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This paper introduces Proximity Features, a privacy-compliant system that uses aggregated geo-IP data to personalize recommendations for cold-start users at Airbnb, achieving significant booking lifts in production experiments.
This paper from Airbnb combines economic modeling and causal inference to understand how guests respond to prices and how preferences vary, aiming to optimize pricing tools and personalization in the two-sided marketplace.