Unbiased Rectification for Sequential Recommender Systems Under Fake Orders
arXiv:2604.08550v1 Announce Type: cross
Abstract: Fake orders pose increasing threats to sequential recommender systems by misleading recommendation results through artificially manipulated interactions, including click farming, context-irrelevant sub…