AAAI 2026technical0 citations
Unbiased Rectification for Sequential Recommender Systems Under Fake Orders
Qiyu Qin, Yichen Li, Haozhao Wang, Cheng Wang, Rui Zhang, Ruixuan Li
Abstract
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 influence recommendation performance, fake orders embedded within genuine user sequences aim to disrupt user preferences and mislead recommendation results, thereby manipulating exposure rates of specific items to gain competitive advantages. To protect users
BibTeX
@inproceedings{aaai2026_unbiasedrectific,
title = {Unbiased Rectification for Sequential Recommender Systems Under Fake Orders},
author = {Qiyu Qin and Yichen Li and Haozhao Wang and Cheng Wang and Rui Zhang and Ruixuan Li},
booktitle = {AAAI 2026},
year = {2026}
}