https://github.com/netesy/caidin
A recommendation engine for the clever. Caidin is a Python library that empowers developers to build smart recommendation systems, including content-based and collaborative filtering methods, making personalized recommendations a breeze.
https://github.com/netesy/caidin
collaborative-filtering content-based-recommendation data-management python3 recommendation-systems
Last synced: 3 months ago
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A recommendation engine for the clever. Caidin is a Python library that empowers developers to build smart recommendation systems, including content-based and collaborative filtering methods, making personalized recommendations a breeze.
- Host: GitHub
- URL: https://github.com/netesy/caidin
- Owner: netesy
- Created: 2023-08-17T16:44:31.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-09-12T18:49:02.000Z (over 1 year ago)
- Last Synced: 2024-04-28T18:05:12.884Z (about 1 year ago)
- Topics: collaborative-filtering, content-based-recommendation, data-management, python3, recommendation-systems
- Language: Python
- Homepage:
- Size: 19.5 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- Code of conduct: CODE_OF_CONDUCT.md
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README
# Caidin: An Open-Source Recommendation Engine Library
Caidin is a Python library that provides a collection of recommendation algorithms and utilities for building recommendation systems. It aims to simplify the process of creating and experimenting with recommendation engines in various domains.
## Features
- Implementation of collaborative filtering, matrix factorization, and content-based recommendation algorithms.
- Utility functions for data loading, preprocessing, and evaluation.
- Clear and customizable model structures for users and recommenders.
- Well-documented codebase with usage examples.
## Installation
You can install Caidin using pip:
> pip install caidin
For detailed installation instructions and requirements, please refer to the [Installation Guide](docs/installation.md).
## Documentation
For detailed usage instructions, API references, and example code, please refer to the [Documentation](docs/user_guide.md).
## Getting Started
Check out the [Examples](examples/) directory for step-by-step examples demonstrating how to use Caidin for building recommendation systems.
## Contributing
We welcome contributions from the community! Please refer to the [Contributing Guidelines](CONTRIBUTING.md) for information on how to get started, code style, and the contribution process.
## Code of Conduct
Please review our [Code of Conduct](CODE_OF_CONDUCT.md) that outlines the behavior we expect from all contributors and users of the project.
## License
This project is licensed under the [MIT License](LICENSE).