A knowledge-graph recommender that explicitly fuses entity and relation embeddings via TransD projection vectors and attention achieves small Recall@20 and NDCG@20 gains on three benchmarks.
Data scarcity in recommendation systems: A survey,
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KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion
A knowledge-graph recommender that explicitly fuses entity and relation embeddings via TransD projection vectors and attention achieves small Recall@20 and NDCG@20 gains on three benchmarks.