Graph Signal Diffusion Model for Collaborative Filtering

arXiv:2311.08744v2 Announce Type: replace-cross
Abstract: Collaborative filtering is a critical technique in recommender systems. Among various methods, an increasingly popular paradigm is to reconstruct user-item interactions based on the historical observations. This can be viewed as a conditional generative task, where recently developed diffusion model demonstrates great potential. However, existing studies on diffusion models lack effective solutions for modeling implicit feedback data. Particularly, the isotropic nature of the standard diffusion process fails to account for the heterogeneous dependencies among items, …

abstract arxiv collaborative collaborative filtering cs.ir cs.lg diffusion diffusion model filtering generative graph however interactions paradigm popular recommender systems signal studies systems type