What are the main challenges in recommendation systems?

What are the main challenges in recommendation systems?

Some key challenges include data sparsity, cold start problems, and scalability.

Can you explain data sparsity?

Data sparsity occurs when there is insufficient user-item interaction data, making it hard to generate accurate recommendations.

What is the cold start problem?

The cold start problem refers to the difficulty in recommending items to new users or recommending new items to existing users.

How do recommendation systems handle scalability?

Scalability can be addressed through techniques like collaborative filtering, matrix factorization, and using distributed computing.