Cornac: A Comparative Framework for Multimodal Recommender Systems

Cornac is a comparative framework for multimodal recommender systems. It focuses on making it convenient to work with models leveraging auxiliary data (e.g., item descriptive text and image, social network, etc). Cornac enables fast experiments and straightforward implementations of new models. It is highly compatible with existing machine learning libraries (e.g., TensorFlow, PyTorch).

Getting Started

• Installation
• First experiment
• Examples
• Tutorials

API Reference

• Data
• Models
• Metrics
• Evaluation Methods
• Experiment
• Built-in Datasets
• Hyper-parameter Tuning