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cs.IR2026
Personalized Federated Sequential Recommender
Yicheng Di
In the domain of consumer electronics, personalized sequential recommendation has emerged as a central task. Current methodologies in this field are largely centered on modeling us…
cs.IR2026
LLM-driven Multimodal Recommendation
Yicheng Di
As a paradigm that delves into the deep seated drivers of user behavior, motivation-based recommendation systems have emerged as a prominent research direction in the field of pers…
cs.IR2026
SRSUPM: Sequential Recommender System Based on User Psychological Motivation
Yicheng Di, Yuan Liu, Zhi Chen +1
Sequential recommender infers users' evolving psychological motivations from historical interactions to recommend the next preferred items. Most existing methods compress recent be…