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Recommender System
Applications
Personalized suggestions based on user behavior and preferences.
Recommender systems analyze user behavior, preferences, and context to suggest relevant items such as movies, products, or content.
- Methods: Collaborative filtering, content-based filtering, hybrid models.
- Examples: Netflix movie suggestions, Amazon product recommendations, Spotify playlists.
- Goal: Improve user experience and engagement through personalization.