61 citations · 61 across the 2 of their papers we have counts for
2 papers
cs.IR2024
Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback
Guipeng Xv, Xinyu Li, Ruobing Xie +5
Multi-modal recommender systems (MRSs) are pivotal in diverse online web platforms and have garnered considerable attention in recent years. However, previous studies overlook the…
cs.IR2022★ 61 cited
Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles
Chen Lin, Si Chen, Meifang Zeng +3
Due to the pivotal role of Recommender Systems (RS) in guiding customers towards the purchase, there is a natural motivation for unscrupulous parties to spoof RS for profits. In th…