85 citations · 176 across the 3 of their papers we have counts for
3 papers
cs.IR2022★ 62 cited
User-Centric Conversational Recommendation with Multi-Aspect User Modeling
Shuokai Li, Ruobing Xie, Yongchun Zhu +3
Conversational recommender systems (CRS) aim to provide highquality recommendations in conversations. However, most conventional CRS models mainly focus on the dialogue understandi…
cs.CL2022★ 85 cited
Generalizing to the Future: Mitigating Entity Bias in Fake News Detection
Yongchun Zhu, Qiang Sheng, Juan Cao +3
The wide dissemination of fake news is increasingly threatening both individuals and society. Fake news detection aims to train a model on the past news and detect fake news of the…
cs.LG2019★ 29 cited
Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings
Feiyang Pan, Shuokai Li, Xiang Ao +2
Click-through rate (CTR) prediction has been one of the most central problems in computational advertising. Lately, embedding techniques that produce low-dimensional representation…