Browse past weeks of engineering reads.
How to personalize Airbnb search results by modeling the multi-session guest journey to surface relevant listings at the right time rather than treating each search in isolation.
Airbnb needed to advance its AI, data science, and machine learning capabilities across multiple domains (NLP, optimization, measurement science) to improve its travel and living platform, requiring solutions to challenges in search ranking, recommendation, experimentation, and large-scale data processing.
Airbnb users in the early trip planning stage often lack a clear travel destination, making it difficult to provide relevant recommendations and convert exploratory browsing into bookings.