Researches on the best-fitted talents recommendation algorithm

Talent allocation, as a vital part of talent strategies, plays an important role in improving the utilization of talents. However, it has encountered the problems, such as the lack of talent supply, low rate of talent utilization, etc. To realize the optimal allocation of talents, a best-fitted talent optimal allocation mechanism is proposed. In this mechanism, the concepts of talent-post match degree and talent utilization rate are introduced as evaluation criterion of talent optimal allocation. Meanwhile, time sequence model is applied to explore the distribution law of talents and predict number of talents in the future. Based on the talent demand and the number of talents predicted by time sequence model, a dynamic planning algorithm is adopted after formula derivation to recommend best-fitted talents list. Experimental results show that this best-fitted talent recommendation mechanism possesses higher utilization and is of use to the government department in talent management.