Knowledge Graph — Coursera Notes › Academic disciplines › Computer Science / Information Technology › Machine Learning
Recommendation systems
concept · part of Machine Learning
Recommendation systems are machine learning algorithms that suggest items to users based on collaborative filtering or content-based filtering. They are crucial for personalizing user experiences and driving engagement in platforms like e-commerce and streaming services.
Inside Recommendation systems (2)
- Collaborative filtering — Collaborative filtering is a recommendation technique that combines user ratings and behavioral data to predict preferences.
- Content-based filtering — Content-based filtering recommends items by analyzing metadata such as genre, actors, and directors.
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