The invention belongs to the technical field of
advanced manufacturing technology intelligent information, and particularly relates to a
knowledge graph embedding method and
system for knowledge intelligent recommendation. S1, designing a complex knowledge intelligent recommendation framework; s2, constructing a complex
knowledge graph model, defining storage forms of contents of different entity categories, storing part of the categories as entity nodes, storing part of the categories as entity attributes, and defining a relationship to associate the entity nodes; s3, fusing an attention mechanism and complex value embedding to propose a TransEx
knowledge graph embedding algorithm, and when entity nodes and relationships in the knowledge graph are converted into vector sequences, retaining the structure and semantic relationships of the graph; and S4, outputting all entities and relationships in the knowledge graph constructed based on the complex knowledge
graph model into a triple form, constructing a knowledge
graph embedding algorithm verification data set, each piece of data being composed of a group of triads, verifying the superiority of the knowledge
graph embedding method by using a link prediction method, and when the
algorithm performance is evaluated, establishing a knowledge
graph embedding algorithm verification data set. And adopting an average reciprocal
ranking MRR and Hits (at) K as evaluation indexes.