Collaborative Filtering
Collaborative Filtering is a solution for making personalized recommendations based on user behavior patterns and preferences.
Key Capabilities Used
Features
- User similarity analysis
- Item-based filtering
- Matrix factorization
- Preference learning
- Cold start handling
Use Cases
- Product recommendations
- Content suggestions
- Movie recommendations
- Music discovery
- Social connections
Technologies
- Matrix factorization
- Neural collaborative filtering
- Neighborhood methods
- Implicit feedback models
- Hybrid recommenders