Research and Application of Precision Talent Recruitment Driving Talent Selection Algorithms in Enterprises

Abstract

When selecting talents, traditional enterprises set outdated as well as overly complex criteria, thus leading to the inability of enterprises to select suitable talents. For this reason, an enterprise talent selection algorithm based on FCM-PSO is proposed. Taking the preparation of enterprise talent selection as the starting point of this research, and setting enterprise talent selection indexes from three aspects: ability, attitude, and honor. Then use the network crawler technology to formulate the research data collection strategy, through the implementation of the strategy to obtain the research data, to provide data support for the subsequent development of the research work. Aiming at the FCM algorithm in the enterprise talent selection in the existence of local optimal situation, the PSO algorithm is used to optimize it, and finally complete the enterprise talent selection algorithm design work. Finally, the empirical analysis of enterprise talent selection algorithm is carried out from multi-dimension. Get 5 people only Q1 and Q4, to meet the requirements of enterprise talent selection, its algorithm output results for 1, 1, 1, not only verifies the algorithm in this paper in the enterprise talent selection in the practical application of the effect, but also for the enterprise precision talent recruitment to provide guidance.