15 citations · 25 across the 5 of their papers we have counts for
5 papers
CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems
Yongxiang Tang, Wentao Bai, Guilin Li +2
In large-scale recommender systems, retrieving top N relevant candidates accurately with resource constrain is crucial. To evaluate the performance of such retrieval models, Recall…
Soft Retargeting Network for Click Through Rate Prediction
Xiaochen Li, Xin Song, Pengjia Yuan +2
The study of user interest models has received a great deal of attention in click through rate (CTR) prediction recently. These models aim at capturing user interest from different…
FuDFEND: Fuzzy-domain for Multi-domain Fake News Detection
Chaoqi Liang, Yu Zhang, Xinyuan Li +2
On the Internet, fake news exists in various domain (e.g., education, health). Since news in different domains has different features, researchers have be-gun to use single domain…
Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction
Xiaochen Li, Rui Zhong, Jian Liang +2
Rich user behavior information is of great importance for capturing and understanding user interest in click-through rate (CTR) prediction. To improve the richness, collecting long…
On the limits of algorithmic prediction across the globe
Xingyu Li, Difan Song, Miaozhe Han +2
The impact of predictive algorithms on people's lives and livelihoods has been noted in medicine, criminal justice, finance, hiring and admissions. Most of these algorithms are dev…