AI RESEARCH
Understanding DNNs in Feature Interaction Models: A Dimensional Collapse Perspective
arXiv CS.LG
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ArXi:2604.26489v1 Announce Type: new DNNs have gained widespread adoption in feature interaction recommendation models. However, there has been a longstanding debate on their roles. On one hand, some works claim that DNNs possess the ability to implicitly capture high-order feature interactions. Conversely, recent studies have highlighted the limitations of DNNs in effectively learning dot products, specifically second-order interactions, let alone higher-order interactions.