FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning

Sejoon Oh, Berk Ustun, Julian McAuley +1

Modern recommender systems may output considerably different recommendations due to small perturbations in the training data. Changes in the data from a single user will alter the…