RQ-Reg: A Residual-Quantization-Based Framework for Continuous Value Prediction in Recommender Systems

Predicting continuous values such as watch-time and gross merchandise value (GMV) is a core problem in industrial recommendation systems. Its inherent difficulty stems from the highly complex and long-tailed distributions of the target signals, which are hard to model accurately. Existing regression