Job Title Benchmarking Graph (Job-Graph)

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.

搜集汇总

背景与挑战

背景概述

该数据集是一个大规模工作职位匹配图，包含44030个节点代表不同公司的工作职位，通过边表示关联，用于链接预测任务以匹配相似职位。应用领域集中在人才招聘和职位薪资校准/预测，旨在为招聘和求职提供精确指导。