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Related Questions
- What are the key components of a knowledge graph-based recommendation system?
- How can we leverage entity disambiguation to improve recommendation accuracy for new users?
- What are some effective techniques for inferring user preferences from limited interaction history?
- Can you explain the concept of knowledge graph embeddings and how they can be used for recommendations?
- How can we incorporate contextual information, such as user location or time of day, into knowledge graph-based recommendations?
- What are some challenges associated with training knowledge graph-based models on large-scale datasets?
- Can you discuss the role of entity linkage in knowledge graph-based recommendation systems and how it can be optimized?
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