Deep learning-based talent policy recommendation method and device, equipment and medium

The invention relates to the technical field of artificial intelligence, and discloses a talent policy recommendation method and device based on deep learning, equipment and a medium, and the method comprises the steps: obtaining a data sequence corresponding to talent attribute data; inputting the data sequence into a preset talent policy recommendation model, matching the talent attribute text corresponding to the data sequence, and outputting a corresponding talent policy combination strategy; and feeding back the talent policy combination strategy to a corresponding target talent. Based on the pre-trained talent policy recommendation model, the talent policy combination strategy suitable for the professional talents is determined according to the data sequence corresponding to the talent attribute data, the current situation that the current talent policy is complex and still depends on personal subjective judgment is solved, the fitting degree between the talent policy and the professional talents is imp