2025
Comparative Analysis and Distributional Fitting of Compositional Lead Time Distributions in Hospitality Booking Data – Harrison Katz, Liz Medina, and Erica Savage
Harnessing the Power of Interleaving and Counterfactual Evaluation for Airbnb Search Ranking – Qing Zhang, Alex Deng, Michelle Du, Huiji Gao, Liwei He, Sanjeev Katariya
Optimal Matched Block Design For Multi-Arm Experiments – Nathan Brixius
SQL:Trek Automated Index Design at Airbnb – Sam Lightstone, Ping Wang
2024
Can Language Models Accelerate Prototyping for Non-Language Data? Classification & Summarization of Activity Logs as Text – José González-Brenes
Learning and Applying Airbnb Listing Embeddings in Two-Sided Marketplace – Authors: Siarhei Bykau, Dekun Zou
Learning to Rank for Maps at Airbnb – Malay Haldar, Hongwei Zhang, Kedar Bellare, Sherry Chen, Soumyadip Banerjee, Xiaotang Wang, Mustafa Abdool, Huiji Gao, Pavan Tapadia, Liwei He, Sanjeev Katariya
Multi-objective Learning to Rank by Model Distillation – Jie Tang, Huiji Gao, Liwei He, Sanjeev Katariya
Metric Decomposition in A/B Tests – Alex Deng, Luke Hagar (University of Waterloo), Nathaniel T. Stevens (University of Waterloo), Tatiana Xifara (Airbnb), Amit Gandhi (University of Pennsylvania)
Predicting Potential Customer Support Needs and Optimizing Search Ranking in a Two-Sided Marketplace – Do-kyum Kim, Han Zhao, Huiji Gao, Liwei He, Malay Haldar, Sanjeev Katariya
Understanding Guest Preferences and Optimizing Two-sided Marketplaces: Airbnb as an Example – Yufei Wu, Daniel Schmierer
Understanding Product Quality with Unstructured Data: An Application of LLMs and Embeddings at Airbnb – Jikun Zhu, Zhiying Gu, Brad Li, Linsha Chen
Understanding User Booking Intent at Airbnb – Xiaowei Liu, Weiwei Guo, Jie Tang, Sherry Chen, Huiji Gao, Liwei He, Pavan Tapadia, Sanjeev Katariya
2023
Optimizing Airbnb Search Journey with Multi-task Learning – Chun How Tan, Austin Chan, Malay Haldar, Jie Tang, Xin Liu, Mustafa Abdool, Huiji Gao, Liwei He, Sanjeev Katariya
2022