activity
20222026
most citedOptimizing Airbnb Search Journey with Multi-task Learning

15 citations · 30 across the 15 of their papers we have counts for

collaborators

15 papers

cs.LG2026

JourneyFormer: Encoding Airbnb Guest Journey with Sequence Modeling

Daochen Zha, Chun How Tan, Xin Liu +9

Sequence modeling has become increasingly popular in recommendation and ranking algorithms, owing to its capacity to model users' historical behaviors and infer user intentions. De…

cs.IR2026

An Embarrassingly Simple Graph Heuristic Reveals Shortcut-Solvable Benchmarks for Sequential Recommendation

Haoyu Han, Li Ma, Hanbing Wang +9

Sequential recommendation has increasingly shifted toward generative recommenders that combine sequential patterns with semantic item information. Yet these methods are often evalu…

cs.IR2026

CASTLE: Contrastive and Seed-Guided Training for Cold-Start Natural Language Search

Wendy Ran Wei, Hao Li, Weiwei Guo +9

Deploying natural language search systems presents a critical cold-start challenge: no real user queries to learn linguistic patterns, and no relevance labels to train ranking mode…

cs.IR2026

Recommending Search Filters To Improve Conversions At Airbnb

Hao Li, Kedar Bellare, Siyu Yang +4

Airbnb, a two-sided online marketplace connecting guests and hosts, offers a diverse and unique inventory of accommodations, experiences, and services. Search filters play an impor…

cs.IR2026

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…

cs.IR2026

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…

cs.IR2025

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…

cs.IR2025★ 2 cited

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…

cs.IR2025

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…

cs.LG2025

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…

cs.IR2024★ 2 cited

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…

cs.IR2024★ 11 cited

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…

cs.IR2024

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…

cs.IR2023★ 15 cited

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…

cs.IR2022

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…