What are the main challenges in collaborative filtering?
An example of an AI chatbot conversation about challenges in collaborative filtering.
What are the main challenges in collaborative filtering?
Some key challenges include data sparsity, scalability, and cold start problems.
Can you explain data sparsity?
Data sparsity occurs when there are not enough user-item interactions, making it hard to find patterns.
What is the cold start problem?
The cold start problem refers to difficulties in making recommendations for new users or items with no prior data.
How can these challenges be addressed?
Techniques like hybrid models, matrix factorization, and using additional data sources can help mitigate these issues.
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