高端人才智能化人–职匹配方法的初步探索
Exploring the Initial Intelligent Human-Job Matching Method for High-End Talents

本研究从新时代战略性新兴产业发展对人才战略需求角度出发，提出基于智能化背景下人–职匹配新模式。即在建立基于地理位置的LBS大数据人–职匹配平台基础上，首先通过深度算法实现基准性胜任特征的快速筛选，然后从心理学角度出发，构建合理、同质的岗位分类与人才分类体系，进而利用工作分析获得关键岗位职业特征要求的同时，通过人格测量方法获得人格特征要求。最后，根据同质化的分类结果将各类型的人才与岗位之间建立匹配关系，通过大数据沟通途径建立用人单位与求职人员的双向沟通渠道，以期解决深层次胜任特征层面人才批量筛选的难点问题。
This study takes the strategic demand of talents from the development of strategic emerging industries in the new era as the starting point, and proposes a new model of person-job matching based on intelligent background. Specifically, on the basis of establishing an LBS big data person-job matching platform based on geographical location, deep algorithms are used to quickly screen the baseline competency features, then, from the perspective of psychology, a reasonable and homogeneous job classification and talent classification system is constructed, and work analysis is used to obtain the key job and occupational characteristics requirements at the same time, the personality measurement method is used to obtain the personality characteristics requirements. Finally, according to the homogeneous classification results, the matching relationship between various types of talents and positions is established, and the two-way communication channel between the employer and the job seeker is established through the big data communication channel, so as to solve the difficulty of batch screening of deep-level competency characteristics.