2 papers
cs.IR2025
Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective Approach
Jialei Chen, Yuanbo Xu, Yiheng Jiang
In this paper, we focus on the often-overlooked issue of embedding collapse in existing diffusion-based sequential recommendation models and propose ADRec, an innovative framework…
cs.IR2025
Causal Structure Representation Learning of Confounders in Latent Space for Recommendation
Hangtong Xu, Yuanbo Xu, Chaozhuo Li +1
Inferring user preferences from the historical feedback of users is a valuable problem in recommender systems. Conventional approaches often rely on the assumption that user prefer…