Qiyu Qin

Unbiased Rectification for Sequential Recommender Systems Under Fake Orders

Fake orders pose increasing threats to sequential recommender systems by misleading recommendation results through artificially manipulated interactions, including click farming, context-irrelevant substitutions, and sequential perturbations. Unlike injecting carefully designed fake users to influe