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Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph
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LLM-KERec is a novel recommendation system where Large Language Models are critically used in the "Complementary Graph Construction" module. Here, LLMs infer and determine complementary relationships between entities, thus performing a key task in building the knowledge graph. This direct use of LLMs for relation extraction within KG construction aligns with the LLMAugmentedKGConstruction category.
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