PulseAugur
EN
LIVE 11:05:49

Airbnb deploys JourneyFormer sequence model for search ranking

Researchers have developed JourneyFormer, a sequence modeling solution for search ranking at Airbnb. The model addresses challenges in deploying sequence models in production, such as long and complex guest sequences with sparse booking labels. JourneyFormer has been successfully implemented within Airbnb's production environment, demonstrating improvements in offline ranking metrics and significant gains in key business metrics through A/B testing. AI

IMPACT This research demonstrates practical applications of sequence modeling in e-commerce search ranking, potentially influencing other platforms.

RANK_REASON The cluster describes a research paper detailing a sequence modeling solution deployed by Airbnb.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Daochen Zha, Chun How Tan, Xin Liu, Bin Xu, Han Zhao, Xiaowei Liu, Tracy Yu, Hui Gao, Huiji Gao, Liwei He, Stephanie Moyerman, Sanjeev Katariya ·

    JourneyFormer: Encoding Airbnb Guest Journey with Sequence Modeling

    arXiv:2606.19108v1 Announce Type: new Abstract: Sequence modeling has become increasingly popular in recommendation and ranking algorithms, owing to its capacity to model users' historical behaviors and infer user intentions. Despite its theoretical simplicity, the practical depl…

  2. arXiv cs.LG TIER_1 English(EN) · Sanjeev Katariya ·

    JourneyFormer: Encoding Airbnb Guest Journey with Sequence Modeling

    Sequence modeling has become increasingly popular in recommendation and ranking algorithms, owing to its capacity to model users' historical behaviors and infer user intentions. Despite its theoretical simplicity, the practical deployment of a sequence model in production is non-…