Meta-level based recommender system using knowledge graph-based neural collaborative filtering
Cold-start remains a major challenge in collaborative filtering, especially when only limited user interactions are available. This study introduces Meta KG-NCF, a hybrid recommender that combines knowledge graph semantics, neural collaborative filtering, and first-order model-agnostic meta-learning (FOMAML). The knowl...