Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations

Filippo Betello, Federico Siciliano, Pushkar Mishra +1

Sequential Recommender Systems (SRSs) are widely employed to model user behavior over time. However, their robustness in the face of perturbations in training data remains a largel…