π€ AI Summary
This work addresses the limited capacity of existing online recruitment platforms to analyze multidimensional attribute relationships and hierarchical market structures. We propose an interactive visual analytics system designed for both job seekers and HR professionals, which, through a coordinated multiple-view design, enables the first integrated exploration of cross-hierarchical, multidimensional hiring dataβspanning from macro-level industry trends to micro-level emerging roles. The system integrates data aggregation, pattern recognition, and multi-scale visualization techniques to support comprehensive labor market analysis. Case studies demonstrate its effectiveness in revealing regional salary distributions, characterizing industry evolution trajectories, and accurately identifying high-demand emerging positions.
π Abstract
Online recruitment platforms have become the dominant channel for modern hiring, yet most platforms offer only basic filtering capabilities, such as job title, keyword, and salary range. This hinders comprehensive analysis of multi-attribute relationships and job market patterns across different scales. We present RecruitScope, a visual analytics system designed to support multidimensional and cross-level exploration of recruitment data for job seekers and employers, particularly HR specialists. Through coordinated visualizations, RecruitScope enables users to analyze job positions and salary patterns from multiple perspectives, interpret industry dynamics at the macro level, and identify emerging positions at the micro level. We demonstrate the effectiveness of RecruitScope through case studies that reveal regional salary distribution patterns, characterize industry growth trajectories, and discover high-demand emerging roles in the job market.