RELEVANCE TEAM PUBLICATIONS
2023
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.
2022
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.
2021
Conferences
KDD 2021, On Post-selection Inference in A/B Testing. Alex Deng, Yicheng Li, Jiannan Lu and Vivek Ramamurthy.Â
WSDM 2021, Toward User Engagement Optimization in 2D Presentation, Liang Wu, Mihajlo Grbovic, Jundong Li.
2020
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.
2019
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.
pRIOR TO 2019
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.