Conferences
KDD 2026, JourneyFormer: Encoding Airbnb Guest Journey with Sequence Modeling. Daochen Zha, Chun How Tan, Xin Liu, Bin Xu, Han Zhao, Xiaowei Liu, Tracy Yu, Hui Gao, Huiji Gao, Liwei He, Stephanie Moyerman, and Sanjeev Katariya.
CIKM 2026, CASTLE: Contrastive and Seed-Guided Training for Cold-Start Natural Language Search. Wendy Ran Wei, Hao Li, Weiwei Guo, Xiaowei Liu, Xueyin Chen, Chun How Tan, Malay Haldar, Soumyadip Banerjee, Kedar Bellare, Huiji Gao, Stephanie Moyerman, and Sanjeev Katariya.
NeurIPS 2026, An Embarrassingly Simple Graph Heuristic Reveals Shortcut-Solvable Sequential Recommendation Benchmarks. Haoyu Han, Li Ma, Hanbing Wang, Bingheng Li, Daochen Zha, Chun How Tan, Huiji Gao, Xin Liu, Stephanie Moyerman, Sanjeev Katariya, Hui Liu, Jiliang Tang.
WSDM 2027, Bridging Collaborative-Semantic and Training-Inference Gaps in Generative Recommendation. Hanbing Wang, Bingheng Li, Jingzhe Liu, Daochen Zha, Chunhow Tan, Xin Liu, Jiliang Tang, Huiji Gao, Stephanie Moyerman, and Sanjeev Katariya
Workshops
Workshop Organization
TSMO 2026: Two-sided Marketplace Optimization, Mihajlo Grbovic, KDD 2026 Workshop
GRAIL 2026: Generative, Retrieval-augmented, and Agentic Intelligence for Personalization, Ashish Jain, Marios Kokkodis, Selen Uguroglu, CIKM 2026 Workshop
LLM4ECommerce 2027: Large Language Models for E‑Commerce, Akshat Verma, Bharathi Thangamani, Chun How Tan, Huiji Gao, WSDM 2027 Workshop.
Workshop Papers
CIKM GRAIL 2026 Workshop, SCOUT: Supply-Aware Cold-Start Proactive Query Suggestion for Travel Search. Hao Li, Shashank Reddy, Kedar Bellare, Ashish Jain, Stephanie Moyerman
CIKM GRAIL 2026 Workshop, SIFT: Search Intent-to-Filter Transformer for Multi-Task Personalized Filter Ranking at Airbnb. Shashank Dabriwal, Tanya Piplani, Hao Li, Yiwei Wang, Ashish Jain, Kedar Bellare, Stephanie Moyerman
CIKM GRAIL 2026 Workshop, OptiCover: A Scalable and Multi-Surface Framework for Cold-Start Visual Optimization under Semantic Constraints. Guillaume Guy, Mihajlo Grbovic, Joe Mills, Selen Uguroglu, Liwei He, Pratiksha Kadam, Nalini Kartha and Qian Li
NeurIPS TAE 2026 Workshop, Is Generative Content Ready to Ship? A Production-Scale Playbook. Malay Haldar, Yu Jin, Chin Hui Chew, Hongwei Zhang, Nalini Kartha,Winnie Xiong,Soumyadip Banerjee,Totte Harinen,Aditya Mukherji,Kedar Bellare,Phanindra Ganti,Stephanie Moyerman, Sanjeev Katariya.
KDD TSMO 2026, Recommending Search Filters To Improve Conversions At Airbnb. Hao Li, Kedar Bellare, Siyu Yang, Sherry Chen, Liwei He, Stephanie Moyerman and Sanjeev Katariya.
KDD TSMO 2026, Proximity Features: Privacy-Compliant Cold-Start Personalization at Airbnb. Wei Jiang, Bin Xu, Hui Gao, Bharathi Thangamani, Weiwei Guo, Sundar Srinivasavaradhan, Tracy Yu, Huiji Gao and Michael Kinoti.
Airbnb Tech Blog
Recommending Travel Destinations to Help Users Explore, Weiwei Guo, Bin Xu, Sundara Rajan Srinivasavaradhan, Jie Tang, Xiaowei Liu, Bharathi Thangamani, Liwei He, Huiji Gao, Tracy Yu, Hui Gao, Stephanie Moyerman, Sanjeev Katariya, Mar 2026.
Personalizing Airbnb search by learning from the guest journey, Daochen Zha, Chun How Tan, Xin Liu, Bin Xu, Han Zhao, Xiaowei Liu, Jun Shi, Tracy Yu, Hui Gao, Huiji Gao, Liwei He, Michael Kinoti, Stephanie Moyerman, and Sanjeev Katariya, Jul 2026.
Conferences
KDD 2025, Harnessing the Power of Interleaving and Counterfactual Evaluation for Airbnb Search Ranking. Qing Zhang, Alex Deng, Michelle Du, Huiji Gao, Liwei He, Sanjeev Katariya.
CIKM 2025, Beyond Pairwise Learning-To-Rank At Airbnb. Malay Haldar, Daochen Zha, Huiji Gao, Liwei He, Sanjeev Katariya
CIKM 2025, 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
CIKM 2025, 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
CIKM 2025, Learning to Comparison-Shop. Jie Tang, Daochen Zha, Xin Liu, Huiji Gao, Liwei He, Stephanie Moyerman and Sanjeev Katariya
CIKM 2025, BiListing: Modality Alignment for listings. Guillaume Guy, Mihajlo Grbovic, Chun How Tan and Han Zhao
Workshops
Workshop Organization
TSMO 2025: Two-sided Marketplace Optimization, Mihajlo Grbovic, KDD 2025 Workshop
Workshop Papers
KDD 2025 TSMO Workshop, High Precision Audience Expansion via Extreme Classification in a Two-Sided Marketplace. KDD workshop on TSMO: Two-sided Marketplace Optimization. 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
Airbnb Tech Blog
Embedding-Based Retrieval for Airbnb Search, Mustafa (Moose) Abdool, Soumyadip Banerjee, Karen Ouyang, Do-Kyum Kim, Moutupsi Paul, Xiaowei Liu, Bin Xu, Tracy Yu, Hui Gao, Yangbo Zhu, Huiji Gao, Liwei He, Sanjeev Katariya, Mar 2025.
Conferences
KDD 2024, 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.
KDD 2024, Multi-objective Learning to Rank by Model Distillation. Jie Tang, Huiji Gao, Liwei He, Sanjeev Katariya.
CIKM 2024, Transforming Location Retrieval at Airbnb: A Journey from Heuristics to Reinforcement Learning. Dillon Davis, Huiji Gao, Thomas Legrand, Malay Haldar, Alex Deng, Han Zhao, Liwei He and Sanjeev Katariya.
Workshops
Workshop Organization
TSMO 2024: Two-sided Marketplace Optimization, Mihajlo Grbovic, KDD 2024 Workshop
Workshop Papers
KDD 2024 TSMO Workshop, Predicting Potential Customer Support Needs and Optimizing Search Ranking in a Two-Sided Marketplace, KDD workshop on TSMO: Two-sided Marketplace Optimization. Do-Kyum Kim, Han Zhao, Huiji Gao, Liwei He, Malay Haldar, Sanjeev Katariya.
KDD 2024 TSMO Workshop, Understanding User Booking Intent at Airbnb, KDD workshop on TSMO: Two-sided Marketplace Optimization. Xiaowei Liu, Weiwei Guo, Jie Tang, Sherry Chen, Huiji Gao, Liwei He, Pavan Tapadia, Sanjeev Katariya.
Airbnb Tech Blog
Improving Search Ranking for Maps, Malay Haldar, Hongwei Zhang, Kedar Bellare Sherry Chen, Dec 2024.
Airbnb at KDD 2024, Huiji Gao, Peter Coles, Carolina Barcenas, Sanjeev Katariya, Dec 2024.
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, Nov 2024
Conferences
KDD 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.
KDD 2023, 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 2023, Learning To Rank Diversely At Airbnb. Malay Haldar, Mustafa Abdool, Liwei He, Dillon Davis, Huiji Gao, Sanjeev Katariya.
WSDM 2023, Zero to Hero: Exploiting Null Effects to Achieve Variance Reduction in Experiments with One-sided Triggering. Alex Deng, Lo-Hua Yuan, Naoya Kanai and Alexandre Salama-Manteau.
Airbnb Tech Blog
Mar 2023, [Part 2] Building Airbnb Categories with ML and Human-in-the-Loop. Mihajlo Grbovic, Ying Xiao, Pratiksha Kadam, Aaron Yin, Pei Xiong, Dillon Davis, Aditya Mukherji, Kedar Bellare, Haowei Zhang, Shukun Yang, Chen Qian, Sebastien Dubois, Nate Ney, James Furnary, Mark Giangreco, Nate Rosenthal, Cole Baker, Bill Ulammandakh, Sid Reddy, Egor Pakhomov.
Jan 2023, Learning To Rank Diversely. Malay Haldar, Liwei He, Moose Abdool.
Conferences
KDD 2022, A/B Testing Intuition Busters: Common Misunderstandings in Online Controlled Experiments. Ron Kohavi, Alex Deng, Lukas Vermeer.
Airbnb Tech Blog
Oct 2022, Beyond A/B Test : Speeding up Airbnb Search Ranking Experimentation through Interleaving. Qing Zhang, Michelle Du, Reid Andersen, Liwei He.
Nov 2022, [Part 1] Building Airbnb Categories with ML and Human-in-the-Loop. Mihajlo Grbovic, Ying Xiao, Pratiksha Kadam, Aaron Yin, Pei Xiong, Dillon Davis, Aditya Mukherji, Kedar Bellare, Haowei Zhang, Shukun Yang, Chen Qian, Sebastien Dubois, Nate Ney, James Furnary, Mark Giangreco, Nate Rosenthal, Cole Baker, Bill Ulammandakh, Sid Reddy, Egor Pakhomov.
Conferences
KDD 2021, On Post-selection Inference in A/B Testing. Alex Deng, Yicheng Li, Jiannan Lu and Vivek Ramamurthy.
WSDM 2021, Toward User Engagement Optimization in 2D Presentation, Liang Wu, Mihajlo Grbovic, Jundong Li.
Conferences
KDD 2020, Improving Deep Learning for Airbnb Search. Malay Haldar, Mustafa Abdool, Prashant Ramanathan, Tyler Sax, Lanbo Zhang, Aamir Manasawala, Shulin Yang, Bradley Turnbull, Junshuo Liao.
KDD 2020, Managing Diversity in Airbnb Search. Mustafa Abdool, Malay Haldar, Prashant Ramanathan, Tyler Sax, Lanbo Zhang, Aamir Manasawala, Shulin Yang, Bradley Turnbull, Qing Zhang, Thomas Legrand.
SIGIR 2020, How Airbnb Tells You Will Enjoy Sunset Sailing in Barcelona? Recommendation in a Two-Sided Travel Marketplace, Liang Wu, Mihajlo Grbovic.
Airbnb Tech Blog
Oct 2020, Improving Deep Learning for Ranking Stays at Airbnb. Malay Haldar, Moose Abdool.
Conferences
KDD 2019, 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 Legrand.
Airbnb Tech Blog
May 2019, Machine Learning-Powered Search Ranking of Airbnb Experiences. Mihajlo Grbovic, Eric Wu, Pai Liu, Chun How Tan, Liang Wu, Bo Yu, Alex Tian.
Conferences
KDD 2018, [Best Paper Award] Real-time Personalization using Embeddings for Search Ranking at Airbnb. Mihajlo Grbovic, Haibin Cheng.
Airbnb Tech Blog
Mar 2018, Listing Embeddings in Search Ranking. Mihajlo Grbovic, Haibin Cheng, Qing Zhang, Lynn Yang, Phillippe Siclait and Matt Jones.
Apr 2015, How Airbnb uses Machine Learning to Detect Host Preferences. Bar Ifrach.
May 2013, Location Relevance at Airbnb. Maxim Charkov, Riley Newman, Jan Overgoor.