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English(EN) STEP: Career-Path Recommendation via Temporal and Educational Trajectory Modeling

STEP系统使用LLM从简历预测职业路径

作者 PulseAugur 编辑部 · [3 个来源] ·

研究人员开发了STEP（Sequential Trajectory of Employment Prediction，就业轨迹序列预测）系统，这是一个通过分析简历来推荐职业路径的新颖系统。STEP利用时间衰减门控循环单元（GRU）来模拟时间动态，并利用基于教育程度的Feature-wise Linear Modulation（FiLM）来预测用户的下一份工作。该系统还包含了ROUTE，一个用于改进职业表征的两阶段对比程序。在包括增强版JobHop数据集在内的四个数据集上的评估表明，STEP在下一份工作预测方面优于现有的最先进基线。 AI

影响 这项研究可以增强求职推荐系统，并为劳动力规划和劳动力市场分析提供新工具。

排序理由 该集群包含一篇详细介绍新系统和方法的论文。

在 arXiv cs.CL 阅读 →

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STEP系统使用LLM从简历预测职业路径

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报道来源 [3]

  1. arXiv cs.CL TIER_1 English(EN) · Iman Johary, Guillaume Bied, Alexandru C. Mara, Tijl De Bie ·

    STEP：通过时间与教育轨迹建模实现职业路径推荐

    arXiv:2607.11722v1 Announce Type: new Abstract: Career paths encode decades of skill acquisition, role transitions, and educational investment, and understanding them at scale underpins workforce planning, labor market policy, and job recommendation. Resumes are a rich source of …

  2. arXiv cs.CL TIER_1 English(EN) · Tijl De Bie ·

    STEP：通过时间与教育轨迹建模实现职业路径推荐

    Career paths encode decades of skill acquisition, role transitions, and educational investment, and understanding them at scale underpins workforce planning, labor market policy, and job recommendation. Resumes are a rich source of information about career paths: they contain det…

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

    STEP：通过时间与教育轨迹建模实现职业路径推荐

    Career paths encode decades of skill acquisition, role transitions, and educational investment, and understanding them at scale underpins workforce planning, labor market policy, and job recommendation. Resumes are a rich source of information about career paths: they contain det…

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