基于岗位和简历内容的对比学习人岗智能匹配方法及系统

本发明提供一种基于岗位和简历内容的对比学习人岗智能匹配方法及系统，该方法包括：离线岗位-简历语义编码器训练、简历索引构建；在线人岗召回匹配。本发明结合招聘行业人岗匹配业务场景，基于岗位和简历内容，在招聘领域提出一种基于对比学习的人岗匹配方法；经过精细化的训练样本对设计，岗位-简历对比学习语义编码器模型能对简历和岗位内容进行精准的语义编码，提高了人岗匹配的效果；采用缓存、faiss的技术架构，将百万级规模人岗匹配做到了毫秒级响应，达到了高并发低时延的性能要求，大大提高了人岗匹配的效率，为猎企、求职者减负增效。 The invention provides a post and resume content-based man-post intelligent matching method and system through comparative learning. The method comprises the steps of offline post-resume semantic encoder training and resume index construction; and carrying out online man-on-post recall matching. The invention provides a person and post matching method based on comparative learning in the field of recruitment based on post and resume content in combination with a person and post matching business scene in the recruitment industry. Through refined training sample pair design, the post-resume comparative learning semantic encoder model can carry out accurate semantic encoding on resumes and post contents, and the man-post matching effect is improved. The techn