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https://github.com/dmunasingha/spotify-mix-algorithm
Music Recommendation System: A Python-based music recommendation system using collaborative and content-based filtering techniques. Provides personalized song suggestions based on user preferences and song features.
https://github.com/dmunasingha/spotify-mix-algorithm
algorithm filtering music python recommendation-system spotify
Last synced: 1 day ago
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Music Recommendation System: A Python-based music recommendation system using collaborative and content-based filtering techniques. Provides personalized song suggestions based on user preferences and song features.
- Host: GitHub
- URL: https://github.com/dmunasingha/spotify-mix-algorithm
- Owner: dmunasingha
- Created: 2024-08-09T18:44:02.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-08-09T18:49:14.000Z (6 months ago)
- Last Synced: 2024-12-01T17:25:04.295Z (about 2 months ago)
- Topics: algorithm, filtering, music, python, recommendation-system, spotify
- Language: Python
- Homepage:
- Size: 2.93 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
You can name the file something descriptive like `music_recommendation_system.py`. Here’s a `README.md` to explain how to use the script:
### `README.md`
```markdown
# Music Recommendation SystemThis project demonstrates a simple music recommendation system using both collaborative filtering and content-based filtering techniques. It provides recommendations based on user listening history and music features.
## File Structure
- `music_recommendation_system.py`: Contains the implementation of the recommendation algorithms.
## Prerequisites
Before running the script, ensure you have the necessary Python libraries installed. You can install them using pip:
```bash
pip install numpy pandas scikit-learn
```## Usage
1. **Clone the Repository**: Clone the repository or download the `music_recommendation_system.py` file to your local machine.
2. **Run the Script**: Execute the script using Python.
```bash
python music_recommendation_system.py
```3. **View Recommendations**: The script will output the recommendations based on collaborative filtering and content-based filtering.
## How It Works
### Collaborative Filtering
- Calculates similarity between users based on their listening history.
- Recommends songs that similar users have enjoyed but the current user hasn't listened to yet.### Content-Based Filtering
- Uses track features such as genre and mood to build a profile of the user's preferences.
- Recommends songs that match the user's profile based on feature similarity.## Example Output
The script will print recommendations from both methods:
```
Collaborative Filtering Recommendations:
Song1: 4.5
Song5: 3.0Content-Based Filtering Recommendations:
Song1
Song3
```## Customization
You can customize the data in the `user_item_matrix` and `track_features` variables to suit your needs. For a real-world application, consider using a larger dataset and more advanced techniques.
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
## Acknowledgments
This project uses the following libraries:
- [NumPy](https://numpy.org/)
- [Pandas](https://pandas.pydata.org/)
- [Scikit-learn](https://scikit-learn.org/)
```### Notes:
- **Customization**: If you use different data sources or formats, adjust the `user_item_matrix` and `track_features` accordingly.
- **Advanced Features**: For more advanced implementations, consider integrating with real data sources and using additional techniques like matrix factorization or deep learning models."# spotify-mix-algorithm" git init git add README.md git commit -m "initial commit" git branch -M main git remote add origin https://github.com/dmunasingha/spotify-mix-algorithm.git git push -u origin main
"# spotify-mix-algorithm" git init git add README.md git commit -m "initial commit" git branch -M main git remote add origin https://github.com/dmunasingha/spotify-mix-algorithm.git git push -u origin main
"# spotify-mix-algorithm"```
---## Contact
For any inquiries, please contact [[email protected]](mailto:[email protected]).