What are the main challenges faced by recommender systems?

What are the main challenges faced by recommender systems?

Recommender systems face several challenges, including data sparsity, scalability, and cold start problems.

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 you overcome these challenges?

Techniques like collaborative filtering, content-based filtering, and hybrid approaches can help mitigate these challenges.