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Related Questions
- What are some common approaches to handle cold start problems in recommender systems?
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- What are some strategies for recommending items to users with no explicit ratings or preferences?
- Can you explain the concept of content-based filtering and how it can be used to handle cold start problems?
- How can we leverage collaborative filtering to recommend items to users with no interaction history?
- What are some techniques for inferring user preferences or item attributes when there is limited interaction data?
- Can you discuss the role of knowledge graph-based methods in handling cold start problems in recommender systems?
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