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**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).
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*Cornac is one of the frameworks recommended by [ACM RecSys 2023](https://github.com/ACMRecSys/recsys-evaluation-frameworks) for the evaluation and reproducibility of recommendation algorithms.*
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*Cornac is one of the frameworks recommended by [ACM RecSys 2023](https://github.com/ACMRecSys/recsys-evaluation-frameworks) for the evaluation and reproducibility of recommendation algorithms. In addition, the implementation of BPR model in Cornac has been recommended as trustworthy baseline for RecSys comparison by [independent research](https://dl.acm.org/doi/abs/10.1145/3640457.3688073).*
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