2 papers
cs.IR2026
SAILRec: Steering LLM Attention to Dual-Side Semantically Aligned Collaborative Embeddings for Recommendation
Xi Wu, Jiale Wang, Zihan Wang +5
Recent LLM-based recommenders enhance language models with collaborative embeddings from user-item interactions, but making such embeddings available does not ensure their proper u…
cs.IR2025
RAU: Towards Regularized Alignment and Uniformity for Representation Learning in Recommendation
Xi Wu, Dan Zhang, Chao Zhou +3
Recommender systems (RecSys) have become essential in modern society, driving user engagement and satisfaction across diverse online platforms. Most RecSys focuses on designing a p…