RecSim Platform
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/google-research/recsim
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资源简介：
该数据集是一个多功能的平台，专为开发推荐系统（RSs）的模拟环境而设计，它支持连续的用户交互。此外，该平台还被用于测试LMGT框架与先进推荐算法的集成。其任务专注于推荐系统领域的强化学习研究。
This dataset is a versatile platform specifically engineered for building simulation environments for recommender systems (RSs), which supports sequential user interactions. Furthermore, this platform is employed to test the integration of the LMGT framework with state-of-the-art recommendation algorithms. Its tasks focus on reinforcement learning research within the domain of recommender systems.
提供机构：
RecSim
