Mar 24, 2024 � A novel federated CRS framework that effectively reduces the risk of exposing user privacy. Through extensive experiments, we show that the proposed framework
scholar.google.com › citations
Mar 23, 2024 � We propose the FedCRS framework with unique design and privatization mechanisms that provides personalized recommendation experiences to users�...
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May 22, 2024 � Conversational Recommender Systems (CRSs) have become increasingly popular as a powerful tool for providing personalized recommendation�...
Dec 27, 2022 � Beside, federated recommendation systems enable to collaborate with other data platforms to improve recommended model performance while meeting�...
Conversational Recommender Systems (CRSs) have become increasingly popular as a powerful tool for providing personalized recommendation experiences.
May 5, 2024 � Abstract:Conversational recommender systems have emerged as a potent solution for efficiently eliciting user preferences.
Apr 1, 2024 � Experiments are conducted for comparing the performances of four popular deep learning algorithms and three federated learning aggregation strategies in FedRec.
Missing: Conversational | Show results with:Conversational
A collection of research papers on Federated Recommender Systems.
github.com › XuanangD › FederatedRS
Federated Conversational Recommender Systems, ECIR. User Consented Federated Recommender System Against Personalized Attribute Inference Attack, WSDM, Github.
Conversational recommender systems have emerged as a potent solution for efficiently eliciting user pref- erences. These systems interactively present queries.
Aims to build high-performance recommendation systems by bridging data repositories without compromising data security and privacy.
Missing: Conversational | Show results with:Conversational
