6 citations · 6 across the 4 of their papers we have counts for
4 papers
Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs
Yanyan Luo, Xue Han, Ruiqiao Bai +10
Large Language Models (LLMs) have enabled increasingly personalized interactions by adapting to users' preferences, contexts, and long-term histories. However, the mechanisms that…
Session-Based Recommendation by Exploiting Substitutable and Complementary Relationships from Multi-behavior Data
Huizi Wu, Cong Geng, Hui Fang
Session-based recommendation (SR) aims to dynamically recommend items to a user based on a sequence of the most recent user-item interactions. Most existing studies on SR adopt adv…
A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation
Huizi Wu, Hui Fang, Zhu Sun +3
Session-based recommendation (SR) has gained increasing attention in recent years. Quite a great amount of studies have been devoted to designing complex algorithms to improve reco…
Causality and Correlation Graph Modeling for Effective and Explainable Session-based Recommendation
Huizi Wu, Cong Geng, Hui Fang
Session-based recommendation which has been witnessed a booming interest recently, focuses on predicting a user's next interested item(s) based on an anonymous session. Most existi…