Data recommendation method and device based on artificial intelligence, equipment and medium

The invention relates to artificial intelligence, and provides a data recommendation method and device based on artificial intelligence, equipment and a medium, and the method comprises the steps: obtaining a first recommendation data set of a target user through transfer learning, obtaining a second recommendation data set of the target user based on federal learning, and obtaining a default recommendation data set; and performing data integration on the first recommendation data set, the second recommendation data set and the default recommendation data set through a preset voting strategy or an average strategy to obtain a final recommendation data set. The cold start problem and the data non-sharing problem in a recommendation system are relieved by utilizing a machine learning normal form of transfer learning and federated learning, the generalization ability of a recommendation model is also effectively improved, and the value of existing active data can be fully utilized and mined by a transfer method