3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.IR2024★ 1 cited
Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions
Yaqing Wang, Hongming Piao, Daxiang Dong +2
In recommendation systems, new items are continuously introduced, initially lacking interaction records but gradually accumulating them over time. Accurately predicting the click-t…
cs.AI2023
ColdNAS: Search to Modulate for User Cold-Start Recommendation
Shiguang Wu, Yaqing Wang, Qinghe Jing +3
Making personalized recommendation for cold-start users, who only have a few interaction histories, is a challenging problem in recommendation systems. Recent works leverage hypern…
cs.DC2022★ 3 cited
Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources
Ji Liu, Daxiang Dong, Xi Wang +5
Although more layers and more parameters generally improve the accuracy of the models, such big models generally have high computational complexity and require big memory, which ex…