95 citations · 116 across the 6 of their papers we have counts for
7 papers
Applying Embedding-Based Retrieval to Airbnb Search
Mustafa Abdool, Soumyadip Banerjee, Moutupsi Paul +10
The goal of Airbnb search is to match guests with the ideal accommodation that fits their travel needs. This is a challenging problem, as popular search locations can have around a…
Learning to Rank for Maps at Airbnb
Malay Haldar, Hongwei Zhang, Kedar Bellare +8
As a two-sided marketplace, Airbnb brings together hosts who own listings for rent with prospective guests from around the globe. Results from a guest's search for listings are dis…
Optimizing Airbnb Search Journey with Multi-task Learning
Chun How Tan, Austin Chan, Malay Haldar +6
At Airbnb, an online marketplace for stays and experiences, guests often spend weeks exploring and comparing multiple items before making a final reservation request. Each reservat…
Learning To Rank Diversely At Airbnb
Malay Haldar, Mustafa Abdool, Liwei He +3
Airbnb is a two-sided marketplace, bringing together hosts who own listings for rent, with prospective guests from around the globe. Applying neural network-based learning to rank…
Managing Diversity in Airbnb Search
Mustafa Abdool, Malay Haldar, Prashant Ramanathan +5
One of the long-standing questions in search systems is the role of diversity in results. From a product perspective, showing diverse results provides the user with more choice and…
Improving Deep Learning For Airbnb Search
Malay Haldar, Mustafa Abdool, Prashant Ramanathan +6
The application of deep learning to search ranking was one of the most impactful product improvements at Airbnb. But what comes next after you launch a deep learning model? In this…