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Related Questions
- What are some common techniques used to handle missing user-item interactions in knowledge graph-based recommender systems?
- How do knowledge graph-based recommender systems deal with cold start problems, where there is a lack of user or item data?
- Can you explain the concept of knowledge graph embedding and how it is used in recommender systems to handle missing interactions?
- What are some strategies for inferring missing user-item interactions in knowledge graph-based recommender systems?
- How do knowledge graph-based recommender systems handle the problem of sparsity, where there are many missing interactions due to a large number of users and items?
- Can you describe the role of entity disambiguation in knowledge graph-based recommender systems and how it affects the handling of missing interactions?
- What are some challenges and limitations of using knowledge graph-based recommender systems to handle missing user-item interactions?
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