Post-Training Attribute Unlearning in Recommender Systems: A Detailed Analysis

The authors focus on Post-Training Attribute Unlearning (PoT-AU) in recommender systems, proposing a two-component loss function to address the challenge. They aim to make target attributes indistinguishable while maintaining recommendation performance.