arXiv:2511.14767cs.IRcs.AI2025-11中稿 · ACOMPA 2025

用AI实时分析越南IT求职市场,帮求职者获取精准职业建议。

An LLM-Powered Agent for Real-Time Analysis of the Vietnamese IT Job Market

  • 基于LLM和ReAct框架的对话式智能体,自动处理招聘信息
  • 分析3745条岗位数据,支持多步查询与动态可视化
  • 适合求职者、职业规划师及研究劳动力市场的用户

进入越南动态信息科技(IT)就业市场的个体面临可靠职业指导缺失的问题。现有市场报告常滞后,而人工分析数千条职位信息对多数人不现实。为此,我们提出AI求职市场顾问——一种可实时从劳动力市场获取深度数据驱动洞察的对话式智能体。系统基于自建数据集,通过Playwright自动化爬取职位门户,并利用大语言模型(LLM)智能结构化非结构化招聘信息。核心为工具增强型AI代理,基于ReAct框架,具备自主推理、规划与执行能力,配备SQL查询、语义搜索和数据可视化等专用工具箱。原型系统成功采集并分析了3,745条职位信息,展示了回答复杂多步问题、生成按需可视化图表以及提供基于真实数据的个性化职业建议的能力。本工作开创了劳动力市场分析新范式,彰显了专用代理型AI系统如何为新一代专业人才普及及时、可信的职业情报。

原文摘要 · Abstract (English)

Individuals entering Vietnam's dynamic Information Technology (IT) job market face a critical gap in reliable career guidance. Existing market reports are often outdated, while the manual analysis of thousands of job postings is impractical for most. To address this challenge, we present the AI Job Market Consultant, a novel conversational agent that delivers deep, data-driven insights directly from the labor market in real-time. The foundation of our system is a custom-built dataset created via an automated pipeline that crawls job portals using Playwright and leverages the Large Language Model (LLM) to intelligently structure unstructured posting data. The core of our system is a tool-augmented AI agent, based on the ReAct agentic framework, which enables the ability of autonomously reasoning, planning, and executing actions through a specialized toolbox for SQL queries, semantic search, and data visualization. Our prototype successfully collected and analyzed 3,745 job postings, demonstrating its ability to answer complex, multi-step queries, generate on-demand visualizations, and provide personalized career advice grounded in real-world data. This work introduces a new paradigm for labor market analysis, showcasing how specialized agentic AI systems can democratize access to timely, trustworthy career intelligence for the next generation of professionals.

AI代理职业规划数据分析越南市场

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