1 citations · 3 across the 10 of their papers we have counts for
4 papers · 2 filters
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…
Break the ID-Language Barrier: An Adaption Framework for LLM-based Sequential Recommendation
Xiaohan Yu, Li Zhang, Xin Zhao +1
The recent breakthrough of large language models (LLMs) in natural language processing has sparked exploration in recommendation systems, however, their limited domain-specific kno…
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…
Multi-Tower Multi-Interest Recommendation with User Representation Repel
Tianyu Xiong, Xiaohan Yu
In the era of information overload, the value of recommender systems has been profoundly recognized in academia and industry alike. Multi-interest sequential recommendation, in par…