How can you address the cold start problem in recommendation systems?
Instruction: Explain strategies to provide recommendations when little or no data is available on new users or items.
Context: The question assesses the candidate's ability to tackle the cold start problem, a common challenge in developing effective recommendation systems, using techniques like content-based filtering or hybrid methods.
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The way I'd approach it in an interview is this: Cold start happens when you need to make recommendations for new users, new items, or both before you have enough interaction history...