FlowTime: Towards Continuous Generative Watch Time Prediction via Flow-based Personalized Priors 事件

FlowTime: Towards Continuous Generative Watch Time Prediction via Flow-based Personalized Priors arXiv:2606.01352v1 Announce Type: new Abstract: Watch time has emerged as a pivotal metric for optimizing deep user engagement in short-video recommender systems. However, current methods of watch time prediction (WTP) suffer from inherent paradigm-specific limitations. Direct Regression faces mean-collapse due to unimodal Gaussian assumptions, while Ordinal Regression is hampered by quantization er