Optimizing Airbnb Search Journey with Multi-task Learning

no code implementations • 28 May 2023 • Chun How Tan, Austin Chan, Malay Haldar, Jie Tang, Xin Liu, Mustafa Abdool, Huiji Gao, Liwei He, Sanjeev Katariya

The long and exploratory nature of the search journey, as well as the need to balance both guest and host preferences, present unique challenges for Airbnb search ranking.

Multi-Task Learning

Learning To Rank Diversely At Airbnb

no code implementations • 19 Sep 2022 • Malay Haldar, Mustafa Abdool, Liwei He, Dillon Davis, Huiji Gao, Sanjeev Katariya

Embedded implicitly in this strategy was an assumption that the booking probability of a listing could be determined independently of other listings in search results.

Efficient Neural Network Learning-To-Rank

Managing Diversity in Airbnb Search

no code implementations • 31 Mar 2020 • Mustafa Abdool, Malay Haldar, Prashant Ramanathan, Tyler Sax, Lanbo Zhang, Aamir Mansawala, Shulin Yang, Thomas Legrand

One of the long-standing questions in search systems is the role of diversity in results.

Improving Deep Learning For Airbnb Search

no code implementations • 10 Feb 2020 • Malay Haldar, Mustafa Abdool, Prashant Ramanathan, Tyler Sax, Lanbo Zhang, Aamir Mansawala, Shulin Yang, Bradley Turnbull, Junshuo Liao

In this paper we describe the journey beyond, discussing what we refer to as the ABCs of improving search: A for architecture, B for bias and C for cold start.

Applying Deep Learning To Airbnb Search

1 code implementation • 22 Oct 2018 • 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

The application to search ranking is one of the biggest machine learning success stories at Airbnb.