Pruning method of knowledge graph, information recommendation method and device

Abstract

Embodiments of the present application provide a knowledge graph pruning method, an information recommendation method and equipment. The knowledge graph pruning method comprises: obtaining a knowledge graph to be processed, the knowledge graph comprising a plurality of graph nodes; determining a user attention degree of each graph node in the knowledge graph; and performing pruning processing on the knowledge graph based on the user attention degree of each graph node to obtain a pruned graph. The technical solution provided by the embodiments effectively realizes pruning processing on the knowledge graph based on the user attention degree of each graph node, thereby obtaining a pruned graph with a simplified structure. When performing information processing operations based on the pruned graph, corresponding information processing operations can be performed based on the pruned graph. This not only reduces the computing resources required for information processing operations, but also improves the quality and efficiency of information processing operations, further ensuring the practicality of the method.

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