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How Airbnb learned to personalise search with embeddings [Part 2]
A practical walk-through of how short-term behaviour and long-term preferences were embedded, combined, and used in a production search ranking system.
Mar 12
•
Jose Parreño Garcia
8
1
2
How Airbnb learned to understand listings via embeddings [Part 1]
A practical walk-through of how listing embeddings were trained on clicks, bookings and negative samples, validated, and deployed.
Feb 14
•
Jose Parreño Garcia
5
2
5
What Airbnb discovered after launching their deep learning model for ranking
Think launching a deep learning model is hard? Try optimising it. Read how Airbnb turned post-launch failures into lessons.
Aug 11, 2025
•
Jose Parreño Garcia
20
2
10
How Airbnb used Deep Learning to rank listings (and what you can learn from it)
Lessons from Airbnb’s AI experiments, including what worked, what failed, and why simplicity often wins.
Mar 29, 2025
•
Jose Parreño Garcia
13
2
8
The power of 1 feature: how Airbnb’s 2013 location model transformed search rankings
Why high-quality feature engineering beats the kitchen-sink approach every time.
Jan 22, 2025
•
Jose Parreño Garcia
2
2
2
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