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English(EN) JourneyFormer: Encoding Airbnb Guest Journey with Sequence Modeling

Airbnb部署JourneyFormer序列模型用于搜索排名

研究人员开发了JourneyFormer,一种用于Airbnb搜索排名的序列建模解决方案。该模型解决了在生产环境中部署序列模型所面临的挑战,例如具有稀疏预订标签的长而复杂的客户序列。JourneyFormer已成功部署到Airbnb的生产环境中,在离线排名指标方面有所改进,并通过A/B测试在关键业务指标方面取得了显著的提升。 AI

影响 这项研究展示了序列建模在电子商务搜索排名中的实际应用,可能对其他平台产生影响。

排序理由 该集群描述了一篇研究论文,详细介绍了Airbnb部署的序列建模解决方案。

在 arXiv cs.LG 阅读 →

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报道来源 [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-…