3 papers
cs.IR2025
CEMG: Collaborative-Enhanced Multimodal Generative Recommendation
Yuzhen Lin, Hongyi Chen, Xuanjing Chen +3
Generative recommendation models often struggle with two key challenges: (1) the superficial integration of collaborative signals, and (2) the decoupled fusion of multimodal featur…
cs.IR2025
Emotion-Driven Personalized Recommendation for AI-Generated Content Using Multi-Modal Sentiment and Intent Analysis
Zheqi Hu, Xuanjing Chen, Jinlin Hu
With the rapid growth of AI-generated content (AIGC) across domains such as music, video, and literature, the demand for emotionally aware recommendation systems has become increas…
cs.IR2025
SeqUDA-Rec: Sequential User Behavior Enhanced Recommendation via Global Unsupervised Data Augmentation for Personalized Content Marketing
Ruihan Luo, Xuanjing Chen, Ziyang Ding
Personalized content marketing has become a crucial strategy for digital platforms, aiming to deliver tailored advertisements and recommendations that match user preferences. Tradi…