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Knowledge Graph Embedding
Knowledge-aware Graph Neural Networks with Label Smoothness
Regularization for Recommender Systems
Published:5/11/2019
Knowledge Graph EmbeddingGNN-based Recommender SystemsLabel Smoothness RegularizationCold-Start RecommendationKnowledge-Aware Recommendation Methods
KGNNLS models userspecific KG relations with label smoothness regularization, enabling endtoend training for better personalized recommendations, notably improving coldstart performance and scalability, outperforming stateoftheart baselines across datasets.
02
Entity Recommendation via Knowledge Graph: A Heterogeneous Networking Embedding Approach
Knowledge Graph EmbeddingHeterogeneous Network EmbeddingCollaborative Filtering with Knowledge Base IntegrationTextual and Visual Content Representation LearningSemantic-Enhanced Recommendation Systems
The paper proposes CKE, integrating heterogeneous knowledge graph embeddings and deep learning for multimodal item representation, enhancing recommender systems beyond traditional collaborative filtering.
06