2025
EMNLP
Agent-in-the-Loop: A Data Flywheel for Continuous Improvement in LLM-based Customer Support – Cen (Mia) Zhao, Tiantian Zhang, Hanchen Su, Yufeng (Wayne) Zhang, Shaowei Su, Mingzhi Xu, Yu (Elaine) Liu, Wei Han, Jeremy Werner, Claire Na Cheng, Yashar Mehdad
Incremental Summarization for Customer Support via Progressive Note-Taking and Agent Feedback – Yisha Wu, Cen (Mia) Zhao, Yuanpei Cao, Xiaoqing Xu, Yashar Mehdad. Mindy Ji, Claire Na Cheng
KDD
Harnessing the Power of Interleaving and Counterfactual Evaluation for Airbnb Search Ranking – Qing Zhang, Alex Deng, Michelle Du, Huiji Gao, Liwei He, Sanjeev Katariya
Workshop: High Precision Audience Expansion via Extreme Classification in a Two-Sided Marketplace – Dillon Davis, Huiji Gao, Thomas Legrand, Juan Manuel Caicedo Carvajal, Malay Haldar, Kedar Bellare, Moutupsi Paul, Soumyadip Banerjee, Liwei He, Stephanie Moyerman and Sanjeev Katariya
CIKM
Augmenting Guest Search Results with Recommendations at Airbnb – Haowei Zhang, Philbert Lin, Dishant Ailawadi, Soumyadip Banerjee, Shashank Dabriwal, Hao Li, Kedar Bellare, Liwei He and Sanjeev Katariya
Beyond Pairwise Learning-To-Rank At Airbnb – Malay Haldar, Daochen Zha, Huiji Gao, Liwei He, Sanjeev Katariya
BiListing: Modality Alignment for Listings – Guillaume Guy, Chun How Tan, Mihajlo Grbovic, Han Zhao
Learning to Comparison-Shop – Jie Tang, Daochen Zha, Xin Liu, Huiji Gao, Liwei He, Stephanie Moyerman and Sanjeev Katariya
Maps Ranking Optimization in Airbnb – Hongwei Zhang, Malay Haldar, Kedar Bellare, Sherry Chen, Soumyadip Banerjee, Xiaotang Wang, Mustafa Abdool, Huiji Gao, Pavan Tapadia, Liwei He, Sanjeev Katariya and Stephanie Moyerman
MIT CODE
Beyond the Experiment Window: Prospective Impacts Under Long-Term Ranking Dynamics – Lei Shi, Lo-Hua Yuan, Peng Ding and Navin Sivanandam
Trustworthy Bayesian Inference in Batch-Adaptive Experimentation – Yicheng Li, Yan Wang and Jiayun Dong
Experimental Design for Product Launches with Collaborative User Networks – Chiraag Kala and Jeffrey Wong
The 31st International Conference on Computational Linguistics
LLM-Friendly Knowledge Representation for Customer Support – Hanchen Su, Wei Luo, Wei Han, Yu Liu
Yufeng Zhang, Cen Zhao, Joy Zhang, Yashar Mehdad
Lion 19
Optimal Matched Block Design For Multi-Arm Experiments – Nathan Brixius
VLDB
SQL:Trek Automated Index Design at Airbnb – Sam Lightstone, Ping Wang
Other Publications
Comparative Analysis and Distributional Fitting of Compositional Lead Time Distributions in Hospitality Booking Data – Harrison Katz, Liz Medina, and Erica Savage, 2025
Lead times in flux: Analyzing Airbnb booking dynamics during global Upheavals – Harrison Katz, Erica Savage, Peter Coles
Slomads Rising: Structural Shifts in U.S. Airbnb Stay Lengths During and After the Pandemic – Harrison Katz, Erica Savage
Quality Externalities on Platforms: The Case of Airbnb – Peter Coles, Sonia Jaffe, Steven Levitt, Igor Popov, Flavio Stanchi, Bradley Turnbull
Two-Part Forecasting for Time-Shifted Metrics – Harrison Katz, Erica Savage, Kai Thomas Brusch
Sensitivity Analysis of Priors in the Bayesian Dirichlet Auto-Regressive Moving Average Model – Harrison Katz, Liz Medina, Robert E. Weiss
2024
KDD
Can Language Models Accelerate Prototyping for Non-Language Data? Classification & Summarization of Activity Logs as Text – José González-Brenes
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
Learning and Applying Airbnb Listing Embeddings in Two-Sided Marketplace – Authors: Siarhei Bykau, Dekun Zou
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)
Multi-objective Learning to Rank by Model Distillation – Jie Tang, Huiji Gao, Liwei He, Sanjeev Katariya
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
CIKM
Transforming Location Retrieval at Airbnb: A Journey from Heuristics to Reinforcement Learning – Dillon Davis, Huiji Gao, Thomas Legrand, Weiwei Guo, Malay Haldar, Alex Deng, Han Zhao, Liwei He, Sanjeev Katariya
Other Publications
A Bayesian Dirichlet auto-regressive moving average model for forecasting lead times – Harrison Katz, Thomas Brusch ,Robert E. Weiss
2023
KDD
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
Variance Reduction Using In-Experiment Data: Efficient and Targeted Online Measurement for Sparse and Delayed Outcomes – Alex Deng, Michelle Du, Anna Matlin, Qing Zhang
CIKM
Learning To Rank Diversely At Airbnb – Malay Haldar, Mustafa Abdool, Liwei He, Dillon Davis, Huiji Gao, Sanjeev Katariya
WDSM
Zero to Hero: Exploiting Null Effects to Achieve Variance Reduction in Experiments with One-sided Triggering – Alex Deng, Lo-Hua Yuan, Naoya Kanai, Alexandre Salama-Manteau
2022
KDD
A/B Testing Intuition Busters – Ron Kohavi, Alex Deng, Lukas Vermeer
2021
KDD
On Post-selection Inference in A/B Testing – Alex Deng, Yicheng Li, Jiannan Lu and Vivek Ramamurthy
WSDM
Toward User Engagement Optimization in 2D Presentation – Liang Wu, Mihajlo Grbovic, Jundong Li
2020
KDD
How Airbnb Tells You Will Enjoy Sunset Sailing in Barcelona? Recommendation in a Two-Sided Travel Marketplace – Liang Wu, Mihajlo Grbovic
SIGIR
How Airbnb Tells You Will Enjoy Sunset Sailing in Barcelona? Recommendation in a Two-Sided Travel Marketplace, Liang Wu, Mihajlo Grbovic
2019
KDD
Applying Deep Learning to Airbnb Search – Malay Haldar, Mustafa Abdool, Prashant Ramanathan, Tao Xu, Shulin Yang, Huizhong Duan, Qing Zhang, Nick Barrow-Williams, Bradley C. Turnbull, Brendan M. Collins, Thomas Legran
2018
KDD
Real-time Personalization using Embeddings for Search Ranking at Airbnb – Mihajlo Grbovic, Haibin Cheng [best paper award]
