2 papers
cs.IR2025
USD: A User-Intent-Driven Sampling and Dual-Debiasing Framework for Large-Scale Homepage Recommendations
Jiaqi Zheng, Cheng Guo, Yi Cao +3
Large-scale homepage recommendations face critical challenges from pseudo-negative samples caused by exposure bias, where non-clicks may indicate inattention rather than disinteres…
cs.IR2024
ECAT: A Entire space Continual and Adaptive Transfer Learning Framework for Cross-Domain Recommendation
Chaoqun Hou, Yuanhang Zhou, Yi Cao +1
In industrial recommendation systems, there are several mini-apps designed to meet the diverse interests and needs of users. The sample space of them is merely a small subset of th…