197 citations · 200 across the 2 of their papers we have counts for
3 papers
cs.IR2021★ 197 cited
Towards Long-term Fairness in Recommendation
Yingqiang Ge, Shuchang Liu, Ruoyuan Gao +8
As Recommender Systems (RS) influence more and more people in their daily life, the issue of fairness in recommendation is becoming more and more important. Most of the prior appro…
cs.IR2020★ 3 cited
Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation
Wenhui Yu, Xiao Lin, Junfeng Ge +2
Data sparsity is an inherent challenge in the recommender systems, where most of the data is collected from the implicit feedbacks of users. This causes two difficulties in designi…
cs.IR2019
Privileged Features Distillation at Taobao Recommendations
Chen Xu, Quan Li, Junfeng Ge +7
Features play an important role in the prediction tasks of e-commerce recommendations. To guarantee the consistency of off-line training and on-line serving, we usually utilize the…