most citedA Novel Privacy-Preserved Recommender System Framework based on Federated Learning

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.IR2025

Federated Cross-Domain Click-Through Rate Prediction With Large Language Model Augmentation

Jiangcheng Qin, Xueyuan Zhang, Baisong Liu +2

Accurately predicting click-through rates (CTR) under stringent privacy constraints poses profound challenges, particularly when user-item interactions are sparse and fragmented ac…

cs.IR2020★ 2 cited

A Novel Privacy-Preserved Recommender System Framework based on Federated Learning

Jiangcheng Qin, Baisong Liu

Recommender System (RS) is currently an effective way to solve information overload. To meet users' next click behavior, RS needs to collect users' personal information and behavio…