在线招聘服务平台是当前劳动力市场的重要参与者，集聚大量求职者和企业资源，但其发展仍始终面临求职者难以找到合适岗位、企业难以找到合适候选人的行业痛点。以BOSS直聘为代表的创新型在线招聘平台有助于将前沿人工智能技术应用于求职招聘场景，缓解人岗匹配难题。本文基于BOSS直聘视角，总结了“移动原生+智能匹配+直聊”的直聘模式，以“智能匹配”这一技术亮点为聚焦，梳理了其技术实现原理和应用现状，并结合信息不对称理论，从招聘前、招聘中、招聘后三个环节展开分析了BOSS直聘平台提高招聘效率的具体举措。研究结论表明，BOSS直聘的智能匹配以海量多维的用户数据为基础，以基于机器学习和深度学习的双边互惠式推荐系统为支柱，通过环环相扣的技术部署，降低劳动力供需双方的搜寻成本，抑制逆向选择或道德风险问题，来缓解双方的不对称信息，从而提高招聘效率。从成效来看，BOSS直聘双边互惠式推荐系统的专有算法可以显著提高匹配准确性，并在长期的移动端流量竞争中凸显优势，并支撑平台的高估值。最后，本文基于对BOSS直聘平台当前技术部署的分析，对相关主体提出了启示和建设性意见，以期促进在线招聘模式的持续创新和完善。
Online recruitment platforms are currently key players in the labor market, clustering a large number of job seekers and firms. However, the industry still confronts challenges, such as job seekers‘ difficulty in finding suitable positions and firms‘ struggle in locating qualified candidates. Innovative online recruitment platforms, represented by BOSS Zhipin, are helping to apply cutting-edge artificial intelligence technology to job recruitment scenarios, in order to alleviate the talent-job mismatch.From the perspective of BOSS Zhipin, this article summarizes the direct recruitment model featured by mobile-native, intelligent matching and direct chat, with a focus on the technological highlight as intelligent matching. This article outlines the principles and current application status of this technology. Furthermore, combining information-asymmetry theory, this article analyzes the specific measures taken by BOSS Zhipin to improve recruitment efficiency in three stages: before recruitment, during recruitment, and after recruitment. The research concludes that BOSS Zhipin‘s intelligent matching, based on massive and multi-dimensional user data, relies on a bilateral reciprocal recommendation system powered by machine learning and deep learning. Through interconnected technological deployments, it reduces the search costs for both labor supply and demand, suppresses issues of adverse selection or moral hazard, and alleviates asymmetric information between the two parties, thereby enhancing recruitment efficiency. In terms of effectiveness, BOSS Zhipin‘s proprietary algorithm for its bilateral reciprocal recommendation system can significantly improve matching accuracy, and in the long run, support the plarform’s high valuation.Finally, based on the aforementioned analysis, this article puts forward insights and constructive suggestions for relevant parties, aimed at promoting continuous innovation and improvement in online recruitment models.
