ERASE

ERASE is a large-scale benchmark for machine unlearning in recommender systems that includes three core tasks and unlearning scenarios inspired by real-world applications, designed to evaluate the effectiveness of various unlearning algorithms across multiple datasets and models.

Papers using ERASE (1)

ERASE -- A Real-World Aligned Benchmark for Unlearning in Recommender Systems2026