Anime Recommendation System
Published:
A hybrid recommendation system for anime that combines content-based filtering with collaborative filtering techniques. This project leverages user ratings and anime metadata to provide personalized recommendations.
Key Features
- Hybrid recommendation approach
- User preference modeling
- Content similarity analysis
- Interactive recommendation interface
Technologies
- Scikit-learn
- Pandas for data processing
- Similarity metrics
- Web interface for recommendations