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Related Questions
- How do you handle cold start problems in recommendation systems for new users with no interaction history?
- What are some strategies for generating recommendations for users who have never interacted with your system before?
- Can you explain the concept of 'zero-shot recommendation' and how it applies to new users with no interaction history?
- What are the key differences between content-based filtering and collaborative filtering for recommending items to new users?
- How do you balance the trade-off between accuracy and diversity when recommending items to new users with no interaction history?
- What are some techniques for leveraging external data sources, such as user demographics or item metadata, to improve recommendations for new users?
- Can you discuss the role of active learning in recommending items to new users with no interaction history, and how it can be applied in practice?
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