3 papers
cs.LG2026
Proximity Features: Privacy-Compliant Cold-Start Personalization at Airbnb
Wei Jiang, Bin Xu, Hui Gao +6
Personalization in two-sided marketplaces relies heavily on user-level features, yet for platforms with infrequent, high-consideration purchases, a large fraction of users lack suf…
cs.LG2026
JourneyFormer: Encoding Airbnb Guest Journey with Sequence Modeling
Daochen Zha, Chun How Tan, Xin Liu +9
Sequence modeling has become increasingly popular in recommendation and ranking algorithms, owing to its capacity to model users' historical behaviors and infer user intentions. De…
cs.IR2026
Applying Embedding-Based Retrieval to Airbnb Search
Mustafa Abdool, Soumyadip Banerjee, Moutupsi Paul +10
The goal of Airbnb search is to match guests with the ideal accommodation that fits their travel needs. This is a challenging problem, as popular search locations can have around a…