3 citations · 5 across the 4 of their papers we have counts for
4 papers
STARec: An Efficient Agent Framework for Recommender Systems via Autonomous Deliberate Reasoning
Chenghao Wu, Ruiyang Ren, Junjie Zhang +4
While modern recommender systems are instrumental in navigating information abundance, they remain fundamentally limited by static user modeling and reactive decision-making paradi…
Pre-training Generative Recommender with Multi-Identifier Item Tokenization
Bowen Zheng, Enze Liu, Zhongfu Chen +4
Generative recommendation autoregressively generates item identifiers to recommend potential items. Existing methods typically adopt a one-to-one mapping strategy, where each item…
EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention
Zhen Tian, Wayne Xin Zhao, Changwang Zhang +3
To capture user preference, transformer models have been widely applied to model sequential user behavior data. The core of transformer architecture lies in the self-attention mech…
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…