Job Title Benchmarking Graph (Job-Graph)
收藏arXiv2020-09-16 更新2024-08-06 收录
下载链接:
http://arxiv.org/abs/2009.07429v1
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资源简介:
Job Title Benchmarking Graph (Job-Graph)是一个大规模的数据集,用于匹配不同公司间具有相似专业水平的工作职位。该数据集由百度人才智能中心构建,包含44030个节点,每个节点代表一个特定公司的工作职位,边表示工作之间的关联。数据集通过整合所有记录,构建了一个工作职位基准图,旨在通过链接预测任务来匹配相似的工作职位。该数据集的应用领域主要集中在人才招聘和职位及薪资校准/预测,旨在为招聘者和求职者提供精确的指导和极大的便利。
Job Title Benchmarking Graph (Job-Graph) is a large-scale dataset designed to match job positions with similar professional levels across different companies. Constructed by Baidu Talent Intelligence Center, the dataset contains 44,030 nodes, where each node represents a job position at a specific company, and edges denote the associations between jobs. By integrating all collected records, the dataset builds a job title benchmarking graph, whose core objective is to match similar job positions via link prediction tasks. The primary application domains of this dataset focus on talent recruitment, job and salary calibration/prediction, aiming to provide precise guidance and substantial convenience for both recruiters and job seekers.
提供机构:
百度人才智能中心
创建时间:
2020-09-16



