Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation

Yizhou Dang, Yuting Liu, Enneng Yang +4

Data augmentation has become a promising method of mitigating data sparsity in sequential recommendation. Existing methods generate new yet effective data during model training to…