AI RESEARCH
MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation
arXiv CS.AI
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ArXi:2603.25126v1 Announce Type: cross Multi-Behavior Recommendation (MBR) leverages multiple user interaction types (e.g., views, clicks, purchases) to enrich preference modeling and alleviate data sparsity issues in traditional single-behavior approaches.