Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation

Chenxu Wang, Fuli Feng, Yang Zhang +3

Historical interactions are the default choice for recommender model training, which typically exhibit high sparsity, i.e., most user-item pairs are unobserved missing data. A stan…