# 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).

