4 papers · 1 filter
A Plug-and-play Model-agnostic Embedding Enhancement Approach for Explainable Recommendation
Yunqi Mi, Boyang Yan, Guoshuai Zhao +2
Existing multimedia recommender systems provide users with suggestions of media by evaluating the similarities, such as games and movies. To enhance the semantics and explainabilit…
Federated Consistency- and Complementarity-aware Consensus-enhanced Recommendation
Yunqi Mi, Boyang Yan, Guoshuai Zhao +2
Personalized federated recommendation system (FedRec) has gained significant attention for its ability to preserve privacy in delivering tailored recommendations. To alleviate the…
A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions
Yunqi Mi, Jiakui Shen, Guoshuai Zhao +2
Extending recommender systems to federated learning (FL) frameworks to protect the privacy of users or platforms while making recommendations has recently gained widespread attenti…
A Model-agnostic Strategy to Mitigate Embedding Degradation in Personalized Federated Recommendation
Jiakui Shen, Yunqi Mi, Guoshuai Zhao +2
Centralized recommender systems encounter privacy leakage due to the need to collect user behavior and other private data. Hence, federated recommender systems (FedRec) have become…