What are some advanced techniques in recommendation systems?

What are some advanced techniques in recommendation systems?

Advanced techniques include collaborative filtering, content-based filtering, and hybrid methods that combine both.

Can you explain collaborative filtering in more detail?

Sure! Collaborative filtering predicts user preferences based on the preferences of similar users.

What are the challenges faced in implementing these techniques?

Challenges include data sparsity, scalability, and the cold start problem for new users or items.

How do hybrid methods improve recommendations?

Hybrid methods leverage the strengths of both collaborative and content-based filtering to enhance accuracy.