AI RESEARCH
MBD: A Model-Based Debiasing Framework Across User, Content, and Model Dimensions
arXiv CS.AI
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ArXi:2603.14422v1 Announce Type: cross Modern recommendation systems rank candidates by aggregating multiple behavioral signals through a value model. However, many commonly used signals are inherently affected by heterogeneous biases. For example, watch time naturally favors long-form content, loop rate favors short - form content, and comment probability favors videos over images. Such biases