315 citations · 350 across the 4 of their papers we have counts for
4 papers
Time Matters: Enhancing Pre-trained News Recommendation Models with Robust User Dwell Time Injection
Hao Jiang, Chuanzhen Li, Mingxiao An
Large Language Models (LLMs) have revolutionized text comprehension, leading to State-of-the-Art (SOTA) news recommendation models that utilize LLMs for in-depth news understanding…
Neural News Recommendation with Attentive Multi-View Learning
Chuhan Wu, Fangzhao Wu, Mingxiao An +3
Personalized news recommendation is very important for online news platforms to help users find interested news and improve user experience. News and user representation learning i…
NPA: Neural News Recommendation with Personalized Attention
Chuhan Wu, Fangzhao Wu, Mingxiao An +3
News recommendation is very important to help users find interested news and alleviate information overload. Different users usually have different interests and the same user may…
Skeptical Deep Learning with Distribution Correction
Mingxiao An, Yongzhou Chen, Qi Liu +4
Recently deep neural networks have been successfully used for various classification tasks, especially for problems with massive perfectly labeled training data. However, it is oft…