ScoreRec: Reallocating Probability Mass in Sequential Recommendation via Score-based Diffusion Modeling
This work introduces ScoreRec, a novel sequential recommendation framework that reformulates the recommendation task as a continuous-time score-based generative process that leverages a stochastic differential equation with a continuous-time noise schedule to mitigate the mode-seeking bias.