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English(EN) Behavior2Trip: Towards Personalized Travel Planning via User Behavior Trajectory

新的Behavior2Trip基准挑战AI在个性化旅行规划方面的能力

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员推出了Behavior2Trip (B2T)，这是一个新的基准和代理，通过分析用户行为轨迹来实现个性化旅行规划。与依赖明确指令的现有方法不同，B2T从过去的行动中推断偏好，减轻了用户交互负担。该基准源自一个大型中国旅行平台，包含11,400个用户行为实例。实验表明，使用Qwen3_8B构建的B2T-Agent在具有挑战性的旅行规划任务上显著优于包括GPT-4.1在内的基线模型，并展现出强大的泛化能力。 AI

影响 这项研究可以通过利用隐式用户行为数据，促成更直观、更个性化的AI旅行助手。

排序理由 该集群描述了一篇介绍特定AI任务基准和代理的新学术论文。

在 Hugging Face Daily Papers 阅读 →

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新的Behavior2Trip基准挑战AI在个性化旅行规划方面的能力

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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Zihao Cheng, Yingyu Shan, Hongru Wang, Zeming Liu, Xinyi Wang, Xiangrong Zhu, Yuhang Guo, Wei Lin, Yunhong Wang ·

    Behavior2Trip：通过用户行为轨迹实现个性化旅行规划

    arXiv:2608.26807v1 Announce Type: cross Abstract: Travel planning agents assist users in generating personalized travel plans by modeling their individual preferences. Existing agents either rely on explicit user instructions or engage in multi-turn clarification to elicit user p…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Behavior2Trip：通过用户行为轨迹实现个性化旅行规划

    Travel planning agents assist users in generating personalized travel plans by modeling their individual preferences. Existing agents either rely on explicit user instructions or engage in multi-turn clarification to elicit user preferences. However, both approaches overlook the …

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