RecruitScope: A Visual Analytics System for Multidimensional Recruitment Data Analysis
Xiyuan Zhu, Wenhan Lyu, Chaochao Fu, Yilin Wang, Jie Zheng, Qiyue Tan, Qianhe Chen, Yixin Yu, Ran Wang

TL;DR
RecruitScope is a visual analytics system that enables comprehensive, multidimensional analysis of recruitment data, helping users uncover market patterns, salary trends, and emerging job roles across different scales.
Contribution
It introduces a novel visual analytics platform for multidimensional recruitment data analysis, supporting cross-level exploration for job seekers and HR professionals.
Findings
Revealed regional salary distribution patterns
Characterized industry growth trajectories
Discovered high-demand emerging roles
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…
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Taxonomy
TopicsAI and HR Technologies · Employer Branding and e-HRM · Recommender Systems and Techniques
