Disclosed by the present application are a medical plan recommendation system and method based on knowledge graph representation learning, relating to the technical field of artificial intelligence, and capable of solving the problem that medical information recommended by existing medical recommendation systems is insufficiently accurate and such systems are prone to problems with potential risks. The system comprises: an extraction module, used for obtaining patient data of a target user and extracting a target entity in the patient data; a dividing module, used for dividing the medical knowledge graph into knowledge graph sub-graphs according to the target entity; a first determining module, used for determining, on the basis of representation learning, a low-dimensional vector corresponding to the knowledge graph sub-graph; an obtaining module, used for inputting the low-dimensional vector into a recommendation model which meets a preset training standard, and obtaining a medical recommendation result matching the patient data. The present application is suitable for the intelligent recommendation of medical solutions.
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