Knowledge graph driven personalized accurate recommendation method
A technology of knowledge graph and recommendation method, applied in the field of personalized and accurate recommendation driven by knowledge graph, can solve the problems of insufficient node representation and insufficient node interaction, and achieve the reduction of manual design process, accurate personalized recommendation results, and node representation. precise effect
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[0032] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings.
[0033] A personalized and accurate recommendation method driven by knowledge graph, comprising the following steps:
[0034] S1. According to the user's historical behavior, obtain the relevant knowledge of the item from the knowledge base, and build a knowledge graph;
[0035] S2. For the constructed knowledge graph, initialize the vector representation of each node and connection and determine the receptive domain of the node;
[0036] S3. Generate training samples according to the user's historical behavior, and initialize the vector representations of all users and items;
[0037] S4. For each training sample, obtain the receptive domain of the corresponding entity in the knowledge map of the item in the training sample, and input the receptive domain and the sample as the graph neural network model to obtain the predicted value of the p...
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