Medical device recommendation method and system, and storage medium

The invention discloses a medical instrument recommendation method which specifically comprises the following steps: S1, acquiring historical interaction information of a user from a network database, dividing the historical interaction information into different first sessions according to time intervals, and generating a corresponding training data set; s2, constructing a local sub-graph according to the first session, and obtaining local context features of each node in the local sub-graph; s3, constructing a global hypergraph according to the first session to obtain global preference features of each node in the global hypergraph; s4, performing fusion according to the local context features and the global preference features to obtain fusion features; and S5, generating transaction session sample features according to the fusion features of the nodes, and generating a recommendation list from the candidate project library according to the similarity. 本发明公开一种医疗器械推荐方法，具体包括以下步骤：S1：从网络数据库中获取用户的历史交互信息，并按照时间间隔