Human Resources Business Consulting Department, Kunlun Digital Technology Co., Ltd., Beijing 100007, China.
Comput Intell Neurosci. 2022 Jun 7;2022:9328566. doi: 10.1155/2022/9328566. eCollection 2022.
In order to improve the effect of personnel archives information management under the background of Industry 4.0, this paper conducts in-depth research on retrieval technology. Aiming at the shortcomings and deficiencies of the existing sorting methods, this paper introduces the basic principle of information retrieval, the retrieval process, and retrieval model and proposes a relevance ranking algorithm based on the user vector calculation method and the record vector calculation method. The algorithm solves the query structure sorting problem of information retrieval, optimizes the retrieval process, and improves the efficiency of information acquisition. Under the guidance of the concept of Industry 4.0, this paper constructs the digital management model of personnel archives information. The experimental results show that the digital management model of personnel archives proposed in this paper has certain effects.
为了提高工业 4.0 背景下人事档案信息管理的效果,本文对检索技术进行了深入研究。针对现有分类方法的不足和缺陷,本文介绍了信息检索的基本原理、检索过程和检索模型,并提出了一种基于用户向量计算方法和记录向量计算方法的相关度排序算法。该算法解决了信息检索的查询结构排序问题,优化了检索过程,提高了信息获取的效率。在工业 4.0 理念的指导下,构建了人事档案信息的数字化管理模型。实验结果表明,本文提出的人事档案数字化管理模型具有一定的效果。