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Related Questions
- What are some common techniques used to handle missing user or item data in knowledge graph-based recommender systems?
- How do knowledge graph-based recommender systems handle the lack of explicit ratings or interactions from users?
- Can you explain the concept of knowledge graph embeddings and how they can be used to address cold start problems?
- What are some strategies for incorporating external knowledge sources into knowledge graph-based recommender systems to improve their performance?
- How do knowledge graph-based recommender systems leverage user and item attributes to improve recommendations when there is limited interaction data?
- Can you discuss the role of graph neural networks in mitigating cold start problems in knowledge graph-based recommender systems?
- What are some techniques for handling the sparsity of user and item data in knowledge graph-based recommender systems and its impact on cold start problems?
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