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Related Questions
- What are some common techniques used to mitigate cold start problems in knowledge graph-based recommender systems?
- Can you provide examples of real-world applications of knowledge graph-based recommender systems that have successfully addressed cold start issues?
- How do knowledge graph-based recommender systems handle the problem of missing user-item interactions in the absence of explicit ratings?
- What are some strategies for incorporating item attributes and side information into knowledge graph-based recommender systems to improve cold start performance?
- Can you discuss the role of entity disambiguation in knowledge graph-based recommender systems and its impact on cold start mitigation?
- How do knowledge graph-based recommender systems leverage graph neural networks to address cold start problems?
- What are some open challenges and future research directions for knowledge graph-based recommender systems in addressing cold start issues?
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