A multi-agent reinforcement learning framework for cross-domain sequential recommendation

Huiting Liu, Junyi Wei, Kaiwen Zhu, Pei-Pei Li, Peng Zhao, Xindong Wu

Abstract: Highlights•Making cross-domain sequential recommendation based on a multi-agent framework.•Employing different agents to implement various transfer strategies.•Collaboration between different transfer strategies in multiple source domains.•Designing a reward function.•Designing an information fusion module.