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Mab2Rec([AAAI'24](https://ojs.aaai.org/index.php/AAAI/article/view/30341)) is a Python library for building bandit-based recommendation algorithms. It supports **context-free**, **parametric** and **non-parametric****contextual** bandit models powered by [MABWiser](https://github.com/fidelity/mabwiser) and fairness and recommenders evaluations powered by [Jurity](https://github.com/fidelity/jurity).
Mab2Rec([AAAI'24](https://ojs.aaai.org/index.php/AAAI/article/view/30341)) is a Python library for building bandit-based recommendation algorithms. It supports **context-free**, **parametric** and **non-parametric****contextual** bandit models powered by [MABWiser](https://github.com/fidelity/mabwiser) and fairness and recommenders evaluations powered by [Jurity](https://github.com/fidelity/jurity).
The library is designed with rapid experimentation in mind, follows the [PEP-8 standards](https://www.python.org/dev/peps/pep-0008/), and is tested heavily.
Mab2Rec is built on top of several other open-source software developed at the AI Center at Fidelity:
