Explain 'Recommender Systems'.

Explain 'Recommender Systems'.

Approach: Describe systems that predict user preferences.

Algorithms designed to suggest relevant items to users (e.g., movies, products). They primarily use collaborative filtering (user behavior) or content-based filtering (item attributes).

Follow-up: What is content-based filtering?

Key concepts: collaborative filtering, content-based, hybrid.