3 papers
cs.IR2026
MOTOR: Learning ID-free Item Representation with Token Crossing for Embedding-based Multimodal Recommendation
Kangning Zhang, Jiarui Jin, Yingjie Qin +4
While multimodal recommendation models have effectively integrated visual and textual information, their reliance on unique ID embeddings constitutes a fundamental performance bott…
cs.AI2025
GIST: Cross-Domain Click-Through Rate Prediction via Guided Content-Behavior Distillation
Wei Xu, Haoran Li, Baoyuan Ou +4
Cross-domain Click-Through Rate prediction aims to tackle the data sparsity and the cold start problems in online advertising systems by transferring knowledge from source domains…
cs.IR2025
Diffusion Model for Interest Refinement in Multi-Interest Recommendation
Yankun Le, Haoran Li, Baoyuan Ou +4
Multi-interest candidate matching plays a pivotal role in personalized recommender systems, as it captures diverse user interests from their historical behaviors. Most existing met…