2 papers
cs.IR2026
Structural and Disentangled Adaptation of Large Vision Language Models for Multimodal Recommendation
Zhongtao Rao, Peilin Zhou, Dading Chong +3
Multimodal recommendation enhances accuracy by leveraging visual and textual signals, and its success largely depends on learning high-quality cross-modal representations. Recent a…
cs.IR2025
DTRec: Learning Dynamic Reasoning Trajectories for Sequential Recommendation
Yifan Shao, Peilin Zhou, Shoujin Wang +3
Inspired by advances in LLMs, reasoning-enhanced sequential recommendation performs multi-step deliberation before making final predictions, unlocking greater potential for capturi…