How does hybrid filtering work?

Can you explain how hybrid filtering works in recommendation systems?

Sure! Hybrid filtering combines collaborative and content-based filtering to improve recommendations.

What are the advantages of using hybrid filtering over other methods?

Hybrid filtering can provide more accurate recommendations by leveraging the strengths of both methods, reducing cold start issues.

Can you give me an example of hybrid filtering in action?

Absolutely! Netflix uses hybrid filtering to recommend shows based on user preferences and viewing history.

Are there any challenges associated with hybrid filtering?

Yes, challenges include data sparsity and the complexity of integrating different algorithms.