Knowledge graph recommendation algorithm oriented to large language model

• Main Author: ZHOU QINGPING
• Format: Patent
• Language: Chinese; English
• Published: 06.05.2025
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention discloses a knowledge graph recommendation algorithm oriented to a large language model, and relates to the technical field of knowledge graph recommendation, and the algorithm comprises the following steps: extracting terms and concepts in a subject text through a natural language processing (NLP) technology, marking entities by using a deep learning model, and setting the entities as nodes; a GCN method is adopted to extract relationships between entities and mark the relationships in the knowledge graph, a hierarchical graph is constructed, the first layer is a basic knowledge layer, and the second layer is a high-level knowledge layer; according to the method, historical behaviors, preference information and subject fields of the user are comprehensively considered, multi-dimensional scoring factors such as similarity, timeliness and correlation are combined, the weight coefficient is dynamically adjusted, it is ensured that each recommendation result is more accurate and personalized, and p