摘 要：随着信息技术的迅猛发展，大数据技术为人力资源管理领域带来了新的机遇与挑战，特别是在招聘环节中实现了从传统模式向精准化、智能化方向的转变。本研究以大数据技术为核心，探讨其在精准招聘中的应用机制与优化路径，旨在解决传统招聘模式中存在的信息不对称、匹配效率低等问题。通过构建基于大数据分析的招聘模型，综合运用数据挖掘、机器学习等方法，对求职者与岗位需求进行多维度特征提取与智能匹配，从而提升招聘效率与质量。研究结果表明，大数据驱动的精准招聘模式能够显著提高人岗匹配度，并降低企业招聘成本。本研究的创新点在于提出了一种融合行为数据分析与语义理解的综合评估框架，为招聘决策提供了科学依据，同时为人力资源管理理论的发展提供了新视角，具有重要的实践意义与推广价值。
关键词：大数据技术；精准招聘；人岗匹配
Abstract：With the rapid development of information technology, big data technology has brought new opportunities and challenges to the field of human resource management, particularly enabling a transformation from traditional recruitment models towards more precise and intelligent approaches. This study focuses on big data technology to explore its application mechanisms and optimization pathways in precise recruitment, aiming to address issues such as information asymmetry and low matching efficiency inherent in traditional recruitment models. By constructing a recruitment model based on big data analysis and comprehensively employing methods such as data mining and machine learning, multi-dimensional feature extraction and intelligent matching are achieved for both job seekers and position requirements, thereby enhancing the efficiency and quality of recruitment. The results indicate that a big data-driven precise recruitment model can significantly improve the match between individuals and positions while reducing corporate recruitment costs. The innovation of this study lies in proposing a comprehensive evaluation fr amework that integrates behavioral data analysis with semantic understanding, providing a scientific basis for recruitment decision-making and offering a new perspective for the development of human resource management theory, with significant practical implications and promotion value.
引言 1
一、大数据技术在招聘中的应用基础 1
(一)招聘模式的演变与挑战 1
(二)大数据技术的核心功能 2
(三)技术驱动下的招聘优化 2
二、精准招聘的数据支撑体系 3
(一)数据采集与处理方法 3
(二)数据分析的关键技术 3
(三)数据质量与隐私保护 4
三、精准招聘模式的设计与实现 4
(一)模型构建的基本框架 4
(二)个性化匹配算法研究 5
(三)实时反馈机制设计 5
四、精准招聘的实际应用与效果评估 6
(一)行业案例分析与实践 6
(二)招聘效率提升的量化评估 6
(三)模式推广的可行性探讨 7
结论 7
参考文献 8
致谢 8
关键词：大数据技术；精准招聘；人岗匹配
Abstract：With the rapid development of information technology, big data technology has brought new opportunities and challenges to the field of human resource management, particularly enabling a transformation from traditional recruitment models towards more precise and intelligent approaches. This study focuses on big data technology to explore its application mechanisms and optimization pathways in precise recruitment, aiming to address issues such as information asymmetry and low matching efficiency inherent in traditional recruitment models. By constructing a recruitment model based on big data analysis and comprehensively employing methods such as data mining and machine learning, multi-dimensional feature extraction and intelligent matching are achieved for both job seekers and position requirements, thereby enhancing the efficiency and quality of recruitment. The results indicate that a big data-driven precise recruitment model can significantly improve the match between individuals and positions while reducing corporate recruitment costs. The innovation of this study lies in proposing a comprehensive evaluation fr amework that integrates behavioral data analysis with semantic understanding, providing a scientific basis for recruitment decision-making and offering a new perspective for the development of human resource management theory, with significant practical implications and promotion value.
Keywords: Big Data Technology；Precise Recruitment；Person-Job Fit
引言 1
一、大数据技术在招聘中的应用基础 1
(一)招聘模式的演变与挑战 1
(二)大数据技术的核心功能 2
(三)技术驱动下的招聘优化 2
二、精准招聘的数据支撑体系 3
(一)数据采集与处理方法 3
(二)数据分析的关键技术 3
(三)数据质量与隐私保护 4
三、精准招聘模式的设计与实现 4
(一)模型构建的基本框架 4
(二)个性化匹配算法研究 5
(三)实时反馈机制设计 5
四、精准招聘的实际应用与效果评估 6
(一)行业案例分析与实践 6
(二)招聘效率提升的量化评估 6
(三)模式推广的可行性探讨 7
结论 7
参考文献 8
致谢 8
