9 citations · 22 across the 3 of their papers we have counts for
3 papers
cs.IR2024★ 9 cited
Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System
Kaike Zhang, Qi Cao, Yunfan Wu +3
Recommender systems play a pivotal role in mitigating information overload in various fields. Nonetheless, the inherent openness of these systems introduces vulnerabilities, allowi…
cs.CR2024★ 9 cited
FedRKG: A Privacy-preserving Federated Recommendation Framework via Knowledge Graph Enhancement
Dezhong Yao, Tongtong Liu, Qi Cao +1
Federated Learning (FL) has emerged as a promising approach for preserving data privacy in recommendation systems by training models locally. Recently, Graph Neural Networks (GNN)…
cs.IR2023★ 4 cited
Popularity Debiasing from Exposure to Interaction in Collaborative Filtering
Yuanhao Liu, Qi Cao, Huawei Shen +3
Recommender systems often suffer from popularity bias, where popular items are overly recommended while sacrificing unpopular items. Existing researches generally focus on ensuring…