Airbnb Cuts Recommendation Staleness from 2 Days to Seconds with Chronon
InfoQ AI, ML and Data Engineering1w4 min read
Airbnb extended its Chronon feature platform with Push Mode and Near Real-Time Model Transform to update sequence-based recommendation embeddings within seconds. The architecture reduced embedding staleness from nearly two days to under a minute and improved offline NDCG by 1.67%, while online testing increased uncancelled bookings by approximately one-third of a percent. By Leela Kumili