Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommendation
arXiv:2604.03688v1 Announce Type: cross
Abstract: Sequential Recommendation (SR) learns user preferences from their historical interaction sequences and provides personalized suggestions. In real-world scenarios, most items exhibit sparse interactions…