From 7882be72a6d788fd5e8623161d627b192592cbc0 Mon Sep 17 00:00:00 2001 From: skadio Date: Wed, 3 Apr 2024 11:21:08 -0400 Subject: [PATCH] Update README.md Signed-off-by: skadio --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 50dd46b..550aba4 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@ # Mab2Rec: Multi-Armed Bandits Recommender -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: