11 citations · 15 across the 9 of their papers we have counts for
9 papers
High Precision Audience Expansion via Extreme Classification in a Two-Sided Marketplace
Dillon Davis, Huiji Gao, Thomas Legrand +8
Airbnb search must balance a worldwide, highly varied supply of homes with guests whose location, amenity, style, and price expectations differ widely. Meeting those expectations h…
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 Comparison-Shop
Jie Tang, Daochen Zha, Xin Liu +4
In online marketplaces like Airbnb, users frequently engage in comparison shopping before making purchase decisions. Despite the prevalence of this behavior, a significant disconne…
Harnessing the Power of Interleaving and Counterfactual Evaluation for Airbnb Search Ranking
Qing Zhang, Alex Deng, Michelle Du +3
Evaluation plays a crucial role in the development of ranking algorithms on search and recommender systems. It enables online platforms to create user-friendly features that drive…
Beyond Pairwise Learning-To-Rank At Airbnb
Malay Haldar, Daochen Zha, Huiji Gao +2
There are three fundamental asks from a ranking algorithm: it should scale to handle a large number of items, sort items accurately by their utility, and impose a total order on th…
Predicting Potential Customer Support Needs and Optimizing Search Ranking in a Two-Sided Marketplace
Do-kyum Kim, Han Zhao, Huiji Gao +3
Airbnb is an online marketplace that connects hosts and guests to unique stays and experiences. When guests stay at homes booked on Airbnb, there are a small fraction of stays that…
Transforming Location Retrieval at Airbnb: A Journey from Heuristics to Reinforcement Learning
Dillon Davis, Huiji Gao, Thomas Legrand +6
The Airbnb search system grapples with many unique challenges as it continues to evolve. We oversee a marketplace that is nuanced by geography, diversity of homes, and guests with…
Multi-objective Learning to Rank by Model Distillation
Jie Tang, Huiji Gao, Liwei He +1
In online marketplaces, search ranking's objective is not only to purchase or conversion (primary objective), but to also the purchase outcomes(secondary objectives), e.g. order ca…
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…