2 citations · 2 across the 2 of their papers we have counts for
4 papers
Fairness-aware Personalized Ranking Recommendation via Adversarial Learning
Ziwei Zhu, Jianling Wang, James Caverlee
Recommendation algorithms typically build models based on historical user-item interactions (e.g., clicks, likes, or ratings) to provide a personalized ranked list of items. These…
Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition
Yun He, Ziwei Zhu, Yin Zhang +2
Knowledge of a disease includes information of various aspects of the disease, such as signs and symptoms, diagnosis and treatment. This disease knowledge is critical for many heal…
Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation
Yun He, Haochen Chen, Ziwei Zhu +1
We propose PsiRec, a novel user preference propagation recommender that incorporates pseudo-implicit feedback for enriching the original sparse implicit feedback dataset. Three of…
Fairness-Aware Recommendation of Information Curators
Ziwei Zhu, Jianling Wang, Yin Zhang +1
This paper highlights our ongoing efforts to create effective information curator recommendation models that can be personalized for individual users, while maintaining important f…