Min Chen Hsieh

MM4Rec: Multi-Source and Multi-Scenario Recommender for Unified User Preference

As online ecosystems grow increasingly complex, personalized recommendation systems must integrate user preferences across heterogeneous content sources and interaction scenarios. However, conventional methods typically model each source and scenario in isolation, hindering their ability to capture