7 citations · 12 across the 4 of their papers we have counts for
4 papers
Explore User Neighborhood for Real-time E-commerce Recommendation
Xu Xie, Fei Sun, Xiaoyong Yang +4
Recommender systems play a vital role in modern online services, such as Amazon and Taobao. Traditional personalized methods, which focus on user-item (UI) relations, have been wid…
Commonsense knowledge adversarial dataset that challenges ELECTRA
Gongqi Lin, Yuan Miao, Xiaoyong Yang +4
Commonsense knowledge is critical in human reading comprehension. While machine comprehension has made significant progress in recent years, the ability in handling commonsense kno…
Large Scale Product Graph Construction for Recommendation in E-commerce
Xiaoyong Yang, Yadong Zhu, Yi Zhang +2
Building a recommendation system that serves billions of users on daily basis is a challenging problem, as the system needs to make astronomical number of predictions per second ba…
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…