AI RESEARCH
Adaptive Long-term Embedding with Denoising and Augmentation for Recommendation
arXiv CS.AI
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ArXi:2504.13614v2 Announce Type: replace-cross The rapid growth of the internet has made personalized recommendation systems indispensable. Graph-based sequential recommendation systems, powered by Graph Neural Networks (GNNs), effectively capture complex user-item interactions but often face challenges such as noise and static representations. In this paper, we