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.

Documentation

For detailed usage instructions, API references, and example code, please refer to the Documentation.

Getting Started

Check out the 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 for information on how to get started, code style, and the contribution process.

Code of Conduct

Please review our Code of Conduct that outlines the behavior we expect from all contributors and users of the project.

License

This project is licensed under the MIT License.