CKG-LLMA augments knowledge graphs with LLM advice and uses learned triplet confidence and dual-view contrastive learning to improve KG-based recommendation accuracy and explanation quality.
Self-attentive sequential recommendation
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Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models
CKG-LLMA augments knowledge graphs with LLM advice and uses learned triplet confidence and dual-view contrastive learning to improve KG-based recommendation accuracy and explanation quality.