1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.IR2024
Explainable CTR Prediction via LLM Reasoning
Xiaohan Yu, Li Zhang, Chong Chen
Recommendation Systems have become integral to modern user experiences, but lack transparency in their decision-making processes. Existing explainable recommendation methods are hi…
cs.CV2024
EIANet: A Novel Domain Adaptation Approach to Maximize Class Distinction with Neural Collapse Principles
Zicheng Pan, Xiaohan Yu, Yongsheng Gao
Source-free domain adaptation (SFDA) aims to transfer knowledge from a labelled source domain to an unlabelled target domain. A major challenge in SFDA is deriving accurate categor…
cs.IR2024★ 1 cited
RA-Rec: An Efficient ID Representation Alignment Framework for LLM-based Recommendation
Xiaohan Yu, Li Zhang, Xin Zhao +2
Large language models (LLM) have recently emerged as a powerful tool for a variety of natural language processing tasks, bringing a new surge of combining LLM with recommendation s…