Pacer and Runner: Cooperative Learning Framework for Single and Cross-Domain Sequential Recommendation

Learn about an innovative cooperative learning framework for sequential recommendation systems in this 15-minute conference presentation from SIGIR 2024. Explore how the Pacer and Runner framework bridges single-domain and cross-domain sequential recommendations through a detailed explanation by researchers from multiple institutions. Discover the technical implementation details, methodology, and experimental results that demonstrate the effectiveness of this novel approach to improving recommendation systems across different domains. Gain insights into how this framework can enhance the performance of both single-domain and cross-domain sequential recommendations through cooperative learning mechanisms.