Content-based Filtering
Content-based Filtering is a solution for making personalized recommendations by analyzing item features and user preferences.
Key Capabilities Used
Features
- Item feature analysis
- User profile modeling
- Similarity matching
- Preference learning
- Explainable recommendations
Use Cases
- Product recommendations
- Content discovery
- Media suggestions
- Document retrieval
- News personalization
Technologies
- Vector embeddings
- Feature extraction
- Cosine similarity
- TF-IDF
- Neural encoders